From 1bd975abde1869d12f1d04f056e44747726a5a1d Mon Sep 17 00:00:00 2001 From: Pringled Date: Fri, 13 Mar 2026 09:13:38 +0100 Subject: [PATCH 01/16] Added flexible loading with from_pretrained() --- src/model.rs | 132 +- .../config_sentence_transformers.json | 1 + .../model.safetensors | Bin 0 -> 236312 bytes .../tokenizer.json | 29678 ++++++++++++++++ .../0_StaticEmbedding/model.safetensors | Bin 0 -> 236312 bytes .../0_StaticEmbedding/tokenizer.json | 29678 ++++++++++++++++ .../config_sentence_transformers.json | 1 + tests/test_model.rs | 61 + 8 files changed, 59525 insertions(+), 26 deletions(-) create mode 100644 tests/fixtures/test-model-sentence-transformers/config_sentence_transformers.json create mode 100644 tests/fixtures/test-model-sentence-transformers/model.safetensors create mode 100644 tests/fixtures/test-model-sentence-transformers/tokenizer.json create mode 100644 tests/fixtures/test-model-static-embedding/0_StaticEmbedding/model.safetensors create mode 100644 tests/fixtures/test-model-static-embedding/0_StaticEmbedding/tokenizer.json create mode 100644 tests/fixtures/test-model-static-embedding/config_sentence_transformers.json diff --git a/src/model.rs b/src/model.rs index d695bb9..7e1b8b8 100644 --- a/src/model.rs +++ b/src/model.rs @@ -4,9 +4,59 @@ use hf_hub::api::sync::Api; use ndarray::Array2; use safetensors::{tensor::Dtype, SafeTensors}; use serde_json::Value; -use std::{env, fs, path::Path}; +use std::{env, fs, path::{Path, PathBuf}}; use tokenizers::Tokenizer; +/// Resolved file paths and embedding tensor key for a detected model layout. +struct ResolvedPaths { + tokenizer_path: PathBuf, + model_path: PathBuf, + config_path: PathBuf, + /// Safetensors key for the embedding matrix. + embedding_key: &'static str, +} + +/// Try to detect a valid model layout in a local folder. +/// +/// Tries layouts in order: model2vec → sentence-transformers → 0_StaticEmbedding. +fn resolve_local(folder: &Path) -> Option { + let t = folder.join("tokenizer.json"); + let m = folder.join("model.safetensors"); + + // 1. Native model2vec: config.json + model.safetensors + tokenizer.json + let c = folder.join("config.json"); + if t.exists() && m.exists() && c.exists() { + return Some(ResolvedPaths { tokenizer_path: t, model_path: m, config_path: c, embedding_key: "embeddings" }); + } + + let c_st = folder.join("config_sentence_transformers.json"); + + // 2. Sentence Transformers root: config_sentence_transformers.json + model.safetensors + tokenizer.json + if c_st.exists() && t.exists() && m.exists() { + return Some(ResolvedPaths { + tokenizer_path: t, + model_path: m, + config_path: c_st, + embedding_key: "embedding.weight", + }); + } + + // 3. 0_StaticEmbedding subfolder: config_sentence_transformers.json at root, model files in subfolder + let sub = folder.join("0_StaticEmbedding"); + let t_sub = sub.join("tokenizer.json"); + let m_sub = sub.join("model.safetensors"); + if c_st.exists() && t_sub.exists() && m_sub.exists() { + return Some(ResolvedPaths { + tokenizer_path: t_sub, + model_path: m_sub, + config_path: c_st, + embedding_key: "embedding.weight", + }); + } + + None +} + /// Static embedding model for Model2Vec #[derive(Debug, Clone)] pub struct StaticModel { @@ -22,10 +72,15 @@ pub struct StaticModel { impl StaticModel { /// Load a Model2Vec model from a local folder or the HuggingFace Hub. /// + /// Supports three layouts (tried in order): + /// - **model2vec**: `config.json` + `model.safetensors` + `tokenizer.json` + /// - **sentence-transformers**: `config_sentence_transformers.json` + `model.safetensors` + `tokenizer.json` + /// - **0_StaticEmbedding**: `config_sentence_transformers.json` at root, model files under `0_StaticEmbedding/` + /// /// # Arguments /// * `repo_or_path` - HuggingFace repo ID or local path to the model folder. /// * `token` - Optional HuggingFace token for authenticated downloads. - /// * `normalize` - Optional flag to normalize embeddings (default from config.json). + /// * `normalize` - Optional flag to normalize embeddings (default from config file). /// * `subfolder` - Optional subfolder within the repo or path to look for model files. pub fn from_pretrained>( repo_or_path: P, @@ -38,26 +93,51 @@ impl StaticModel { env::set_var("HF_HUB_TOKEN", tok); } - // Locate tokenizer.json, model.safetensors, config.json - let (tok_path, mdl_path, cfg_path) = { + // Locate model files by trying layouts in priority order + let ResolvedPaths { tokenizer_path: tok_path, model_path: mdl_path, config_path: cfg_path, embedding_key } = { let base = repo_or_path.as_ref(); if base.exists() { let folder = subfolder.map(|s| base.join(s)).unwrap_or_else(|| base.to_path_buf()); - let t = folder.join("tokenizer.json"); - let m = folder.join("model.safetensors"); - let c = folder.join("config.json"); - if !t.exists() || !m.exists() || !c.exists() { - return Err(anyhow!("local path {folder:?} missing tokenizer / model / config")); - } - (t, m, c) + resolve_local(&folder).ok_or_else(|| anyhow!( + "no valid model layout found in {folder:?}. \ + Tried: model2vec (config.json), sentence-transformers \ + (config_sentence_transformers.json), and 0_StaticEmbedding subfolder." + ))? } else { let api = Api::new().context("hf-hub API init failed")?; let repo = api.model(repo_or_path.as_ref().to_string_lossy().into_owned()); - let prefix = subfolder.map(|s| format!("{}/", s)).unwrap_or_default(); - let t = repo.get(&format!("{prefix}tokenizer.json"))?; - let m = repo.get(&format!("{prefix}model.safetensors"))?; - let c = repo.get(&format!("{prefix}config.json"))?; - (t, m, c) + let prefix = subfolder.map(|s| format!("{s}/")).unwrap_or_default(); + + // 1. Native model2vec + if let Ok(c) = repo.get(&format!("{prefix}config.json")) { + let t = repo.get(&format!("{prefix}tokenizer.json")).context("tokenizer.json missing")?; + let m = repo.get(&format!("{prefix}model.safetensors")).context("model.safetensors missing")?; + ResolvedPaths { tokenizer_path: t, model_path: m, config_path: c, embedding_key: "embeddings" } + } + // 2. Sentence Transformers (root or 0_StaticEmbedding subfolder) + else if let Ok(c) = repo.get(&format!("{prefix}config_sentence_transformers.json")) { + // Try root layout first + if let (Ok(t), Ok(m)) = ( + repo.get(&format!("{prefix}tokenizer.json")), + repo.get(&format!("{prefix}model.safetensors")), + ) { + ResolvedPaths { tokenizer_path: t, model_path: m, config_path: c, embedding_key: "embedding.weight" } + } else { + // Fall back to 0_StaticEmbedding subfolder + let t = repo.get(&format!("{prefix}0_StaticEmbedding/tokenizer.json")) + .context("tokenizer.json not found (tried root and 0_StaticEmbedding/)")?; + let m = repo.get(&format!("{prefix}0_StaticEmbedding/model.safetensors")) + .context("model.safetensors not found (tried root and 0_StaticEmbedding/)")?; + ResolvedPaths { tokenizer_path: t, model_path: m, config_path: c, embedding_key: "embedding.weight" } + } + } else { + return Err(anyhow!( + "no valid model layout found on HuggingFace Hub for '{}'. \ + Tried: model2vec (config.json), sentence-transformers \ + (config_sentence_transformers.json), and 0_StaticEmbedding subfolder.", + repo_or_path.as_ref().display() + )); + } } }; @@ -69,9 +149,9 @@ impl StaticModel { lens.sort_unstable(); let median_token_length = lens.get(lens.len() / 2).copied().unwrap_or(1); - // Read normalize default from config.json - let cfg_file = std::fs::File::open(&cfg_path).context("failed to read config.json")?; - let cfg: Value = serde_json::from_reader(&cfg_file).context("failed to parse config.json")?; + // Read normalize default from config file + let cfg_file = std::fs::File::open(&cfg_path).context("failed to read config")?; + let cfg: Value = serde_json::from_reader(&cfg_file).context("failed to parse config")?; let cfg_norm = cfg.get("normalize").and_then(Value::as_bool).unwrap_or(true); let normalize = normalize.unwrap_or(cfg_norm); @@ -85,18 +165,18 @@ impl StaticModel { .and_then(|m| m.get("unk_token")) .and_then(Value::as_str) .unwrap_or("[UNK]"); - let unk_token_id = tokenizer - .token_to_id(unk_token) - .ok_or_else(|| anyhow!("tokenizer claims unk_token='{unk_token}' but it isn't in the vocab"))? - as usize; + // If the unk token isn't in the vocabulary, treat it as absent rather than erroring. + let unk_token_id = tokenizer.token_to_id(unk_token).map(|id| id as usize); // Load the safetensors let model_bytes = fs::read(&mdl_path).context("failed to read model.safetensors")?; let safet = SafeTensors::deserialize(&model_bytes).context("failed to parse safetensors")?; + // Try the layout-specific key first, then legacy fallbacks. let tensor = safet - .tensor("embeddings") + .tensor(embedding_key) + .or_else(|_| safet.tensor("embeddings")) .or_else(|_| safet.tensor("0")) - .context("embeddings tensor not found")?; + .with_context(|| format!("embedding tensor not found (tried '{embedding_key}', 'embeddings', '0')"))?; let [rows, cols]: [usize; 2] = tensor.shape().try_into().context("embedding tensor is not 2‑D")?; let raw = tensor.data(); @@ -161,7 +241,7 @@ impl StaticModel { token_mapping, normalize, median_token_length, - unk_token_id: Some(unk_token_id), + unk_token_id, }) } diff --git a/tests/fixtures/test-model-sentence-transformers/config_sentence_transformers.json b/tests/fixtures/test-model-sentence-transformers/config_sentence_transformers.json new file mode 100644 index 0000000..b7249f7 --- /dev/null +++ b/tests/fixtures/test-model-sentence-transformers/config_sentence_transformers.json @@ -0,0 +1 @@ +{"normalize": true} \ No newline at end of file diff --git a/tests/fixtures/test-model-sentence-transformers/model.safetensors b/tests/fixtures/test-model-sentence-transformers/model.safetensors new file mode 100644 index 0000000000000000000000000000000000000000..87317abc4151964d3053b652e3190bb1f29b96a0 GIT binary patch literal 236312 zcmX7vc{Eqg|Ho~SCE53^g)AvcO1$rD%2Jkuw2(@v$WlZrDuwL37K9X~LWwrs^BSU6 zMJpv*^-)P_q0P_t{O*7E+;is4Idf;``FcJduSEj?|LoFT7rJI$KtNE~hH2Z@1#Jk7 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29499, + "##門": 29500, + "##間": 29501, + "##阝": 29502, + "##阿": 29503, + "##陳": 29504, + "##陽": 29505, + "##雄": 29506, + "##青": 29507, + "##面": 29508, + "##風": 29509, + "##食": 29510, + "##香": 29511, + "##馬": 29512, + "##高": 29513, + "##龍": 29514, + "##龸": 29515, + "##fi": 29516, + "##fl": 29517, + "##！": 29518, + "##（": 29519, + "##）": 29520, + "##，": 29521, + "##－": 29522, + "##．": 29523, + "##／": 29524, + "##：": 29525, + "##？": 29526, + "##～": 29527 + } + } +} \ No newline at end of file diff --git a/tests/fixtures/test-model-static-embedding/config_sentence_transformers.json b/tests/fixtures/test-model-static-embedding/config_sentence_transformers.json new file mode 100644 index 0000000..b7249f7 --- /dev/null +++ b/tests/fixtures/test-model-static-embedding/config_sentence_transformers.json @@ -0,0 +1 @@ +{"normalize": true} \ No newline at end of file diff --git a/tests/test_model.rs b/tests/test_model.rs index f09b8c2..367f746 100644 --- a/tests/test_model.rs +++ b/tests/test_model.rs @@ -46,6 +46,67 @@ fn test_encode_single() { ); } +/// Test loading a model in sentence-transformers root layout (config_sentence_transformers.json) +#[test] +fn test_load_sentence_transformers_layout() { + let model = StaticModel::from_pretrained( + "tests/fixtures/test-model-sentence-transformers", + None, + None, + None, + ) + .expect("should load sentence-transformers layout"); + let emb = model.encode(&["hello world".to_string()]); + assert_eq!(emb.len(), 1); + assert!(!emb[0].is_empty()); +} + +/// Test loading a model in 0_StaticEmbedding subfolder layout +#[test] +fn test_load_static_embedding_layout() { + let model = StaticModel::from_pretrained( + "tests/fixtures/test-model-static-embedding", + None, + None, + None, + ) + .expect("should load 0_StaticEmbedding layout"); + let emb = model.encode(&["hello world".to_string()]); + assert_eq!(emb.len(), 1); + assert!(!emb[0].is_empty()); +} + +/// Sentence-transformers and model2vec layouts with the same weights should give identical embeddings +#[test] +fn test_sentence_transformers_matches_model2vec() { + let model_m2v = + StaticModel::from_pretrained("tests/fixtures/test-model-float32", None, None, None).unwrap(); + let model_st = StaticModel::from_pretrained( + "tests/fixtures/test-model-sentence-transformers", + None, + None, + None, + ) + .unwrap(); + let sentences = vec!["hello".to_string(), "world test sentence".to_string()]; + let emb_m2v = model_m2v.encode(&sentences); + let emb_st = model_st.encode(&sentences); + for (a, b) in emb_m2v.iter().zip(emb_st.iter()) { + for (&x, &y) in a.iter().zip(b.iter()) { + assert!((x - y).abs() < 1e-5, "embeddings should match: {x} vs {y}"); + } + } +} + +/// Test that a path missing all known layouts gives a helpful error +#[test] +fn test_load_invalid_path_error() { + let result = StaticModel::from_pretrained("tests/fixtures", None, None, None); + assert!(result.is_err()); + let msg = result.unwrap_err().to_string(); + assert!(msg.contains("no valid model layout"), "error should mention layout: {msg}"); +} + /// Test override of `normalize` flag in from_pretrained #[test] fn test_normalization_flag_override() { From 41b2b78558cc1d9628fd9436b024c164f63a2b71 Mon Sep 17 00:00:00 2001 From: Pringled Date: Fri, 13 Mar 2026 09:25:29 +0100 Subject: [PATCH 02/16] Update tests --- src/model.rs | 102 +- .../test-model-both-configs/config.json | 1 + .../config_sentence_transformers.json | 1 + .../test-model-both-configs/model.safetensors | Bin 0 -> 236312 bytes .../test-model-both-configs/tokenizer.json | 29678 ++++++++++++++++ .../config_sentence_transformers.json | 1 + .../model.safetensors | Bin 0 -> 236312 bytes .../modules.json | 1 + .../tokenizer.json | 29678 ++++++++++++++++ .../config_sentence_transformers.json | 1 + .../model.safetensors | Bin 0 -> 236312 bytes .../test-model-modules-normalize/modules.json | 1 + .../tokenizer.json | 29678 ++++++++++++++++ tests/test_model.rs | 81 + 14 files changed, 89212 insertions(+), 11 deletions(-) create mode 100644 tests/fixtures/test-model-both-configs/config.json create mode 100644 tests/fixtures/test-model-both-configs/config_sentence_transformers.json create mode 100644 tests/fixtures/test-model-both-configs/model.safetensors create mode 100644 tests/fixtures/test-model-both-configs/tokenizer.json create mode 100644 tests/fixtures/test-model-modules-no-normalize/config_sentence_transformers.json create mode 100644 tests/fixtures/test-model-modules-no-normalize/model.safetensors create mode 100644 tests/fixtures/test-model-modules-no-normalize/modules.json create mode 100644 tests/fixtures/test-model-modules-no-normalize/tokenizer.json create mode 100644 tests/fixtures/test-model-modules-normalize/config_sentence_transformers.json create mode 100644 tests/fixtures/test-model-modules-normalize/model.safetensors create mode 100644 tests/fixtures/test-model-modules-normalize/modules.json create mode 100644 tests/fixtures/test-model-modules-normalize/tokenizer.json diff --git a/src/model.rs b/src/model.rs index 7e1b8b8..5791523 100644 --- a/src/model.rs +++ b/src/model.rs @@ -18,20 +18,26 @@ struct ResolvedPaths { /// Try to detect a valid model layout in a local folder. /// -/// Tries layouts in order: model2vec → sentence-transformers → 0_StaticEmbedding. +/// Tries layouts in order: +/// 1. model2vec: `config.json` + `model.safetensors` + `tokenizer.json` +/// 2. Sentence Transformers root: `config_sentence_transformers.json` + `model.safetensors` + `tokenizer.json` +/// 3. 0_StaticEmbedding subfolder: `config_sentence_transformers.json` at root, model files under `0_StaticEmbedding/` +/// 4. Config-in-parent fallback: model files at `folder`, `config_sentence_transformers.json` one level up +/// (handles `subfolder = "0_StaticEmbedding"` or direct paths into the embedding subfolder). fn resolve_local(folder: &Path) -> Option { let t = folder.join("tokenizer.json"); let m = folder.join("model.safetensors"); // 1. Native model2vec: config.json + model.safetensors + tokenizer.json + // (config_sentence_transformers.json must NOT coexist to avoid misidentifying ST exports) let c = folder.join("config.json"); - if t.exists() && m.exists() && c.exists() { + let c_st = folder.join("config_sentence_transformers.json"); + if t.exists() && m.exists() && c.exists() && !c_st.exists() { return Some(ResolvedPaths { tokenizer_path: t, model_path: m, config_path: c, embedding_key: "embeddings" }); } - let c_st = folder.join("config_sentence_transformers.json"); - // 2. Sentence Transformers root: config_sentence_transformers.json + model.safetensors + tokenizer.json + // This also covers model2vec models re-exported via sentence-transformers (both configs present). if c_st.exists() && t.exists() && m.exists() { return Some(ResolvedPaths { tokenizer_path: t, @@ -54,9 +60,64 @@ fn resolve_local(folder: &Path) -> Option { }); } + // 4. Config-in-parent fallback: the caller pointed directly at the embedding subfolder + // (e.g. subfolder="0_StaticEmbedding" or repo_or_path = ".../0_StaticEmbedding"). + // The config lives one level up in the actual ST model root. + if t.exists() && m.exists() { + if let Some(parent) = folder.parent() { + let c_parent = parent.join("config_sentence_transformers.json"); + if c_parent.exists() { + return Some(ResolvedPaths { + tokenizer_path: t, + model_path: m, + config_path: c_parent, + embedding_key: "embedding.weight", + }); + } + } + } + None } +/// Read the normalize flag from a model's config and optional `modules.json`. +/// +/// Resolution order: +/// 1. `normalize` key in the config file. +/// 2. Presence of a `sentence_transformers.models.Normalize` entry in `modules.json` +/// (located next to the config file). +/// 3. Default: `true`. +fn read_normalize(config_path: &Path) -> bool { + // 1. Check config file + if let Ok(f) = std::fs::File::open(config_path) { + if let Ok(cfg) = serde_json::from_reader::<_, Value>(f) { + if let Some(v) = cfg.get("normalize").and_then(Value::as_bool) { + return v; + } + } + } + + // 2. Check modules.json for a Normalize pipeline stage + let modules_path = config_path + .parent() + .unwrap_or_else(|| Path::new("")) + .join("modules.json"); + if let Ok(f) = std::fs::File::open(&modules_path) { + if let Ok(Value::Array(modules)) = serde_json::from_reader::<_, Value>(f) { + return modules.iter().any(|module| { + module + .get("type") + .and_then(Value::as_str) + .map(|t| t.contains("Normalize")) + .unwrap_or(false) + }); + } + } + + // 3. Default + true +} + /// Static embedding model for Model2Vec #[derive(Debug, Clone)] pub struct StaticModel { @@ -130,6 +191,25 @@ impl StaticModel { .context("model.safetensors not found (tried root and 0_StaticEmbedding/)")?; ResolvedPaths { tokenizer_path: t, model_path: m, config_path: c, embedding_key: "embedding.weight" } } + } + // 3. Config-in-parent fallback: subfolder points directly at the model files, + // config_sentence_transformers.json lives at the repo root (no prefix). + else if !prefix.is_empty() { + if let Ok(c) = repo.get("config_sentence_transformers.json") { + let t = repo.get(&format!("{prefix}tokenizer.json")) + .context("tokenizer.json not found in subfolder")?; + let m = repo.get(&format!("{prefix}model.safetensors")) + .context("model.safetensors not found in subfolder")?; + ResolvedPaths { tokenizer_path: t, model_path: m, config_path: c, embedding_key: "embedding.weight" } + } else { + return Err(anyhow!( + "no valid model layout found on HuggingFace Hub for '{}'. \ + Tried: model2vec (config.json), sentence-transformers \ + (config_sentence_transformers.json), 0_StaticEmbedding subfolder, \ + and config-in-parent fallback.", + repo_or_path.as_ref().display() + )); + } } else { return Err(anyhow!( "no valid model layout found on HuggingFace Hub for '{}'. \ @@ -149,11 +229,8 @@ impl StaticModel { lens.sort_unstable(); let median_token_length = lens.get(lens.len() / 2).copied().unwrap_or(1); - // Read normalize default from config file - let cfg_file = std::fs::File::open(&cfg_path).context("failed to read config")?; - let cfg: Value = serde_json::from_reader(&cfg_file).context("failed to parse config")?; - let cfg_norm = cfg.get("normalize").and_then(Value::as_bool).unwrap_or(true); - let normalize = normalize.unwrap_or(cfg_norm); + // Read normalize default: config file first, then modules.json, then true + let normalize = normalize.unwrap_or_else(|| read_normalize(&cfg_path)); // Serialize the tokenizer to JSON, then parse it and get the unk_token let spec_json = tokenizer @@ -171,12 +248,15 @@ impl StaticModel { // Load the safetensors let model_bytes = fs::read(&mdl_path).context("failed to read model.safetensors")?; let safet = SafeTensors::deserialize(&model_bytes).context("failed to parse safetensors")?; - // Try the layout-specific key first, then legacy fallbacks. + // Try the layout-specific key first, then all known fallback keys. let tensor = safet .tensor(embedding_key) .or_else(|_| safet.tensor("embeddings")) + .or_else(|_| safet.tensor("embedding.weight")) .or_else(|_| safet.tensor("0")) - .with_context(|| format!("embedding tensor not found (tried '{embedding_key}', 'embeddings', '0')"))?; + .with_context(|| { + format!("embedding tensor not found (tried '{embedding_key}', 'embeddings', 'embedding.weight', '0')") + })?; let [rows, cols]: [usize; 2] = tensor.shape().try_into().context("embedding tensor is not 2‑D")?; let raw = tensor.data(); diff --git a/tests/fixtures/test-model-both-configs/config.json b/tests/fixtures/test-model-both-configs/config.json new file mode 100644 index 0000000..eeed2b5 --- /dev/null +++ b/tests/fixtures/test-model-both-configs/config.json @@ -0,0 +1 @@ +{"some": "field"} \ No newline at end of file diff --git a/tests/fixtures/test-model-both-configs/config_sentence_transformers.json 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"##勝": 29312, + "##北": 29313, + "##区": 29314, + "##十": 29315, + "##千": 29316, + "##南": 29317, + "##博": 29318, + "##原": 29319, + "##口": 29320, + "##古": 29321, + "##史": 29322, + "##司": 29323, + "##合": 29324, + "##吉": 29325, + "##同": 29326, + "##名": 29327, + "##和": 29328, + "##囗": 29329, + "##四": 29330, + "##国": 29331, + "##國": 29332, + "##土": 29333, + "##地": 29334, + "##坂": 29335, + "##城": 29336, + "##堂": 29337, + "##場": 29338, + "##士": 29339, + "##夏": 29340, + "##外": 29341, + "##大": 29342, + "##天": 29343, + "##太": 29344, + "##夫": 29345, + "##奈": 29346, + "##女": 29347, + "##子": 29348, + "##学": 29349, + "##宀": 29350, + "##宇": 29351, + "##安": 29352, + "##宗": 29353, + "##定": 29354, + "##宣": 29355, + "##宮": 29356, + "##家": 29357, + "##宿": 29358, + "##寺": 29359, + "##將": 29360, + "##小": 29361, + "##尚": 29362, + "##山": 29363, + "##岡": 29364, + "##島": 29365, + "##崎": 29366, + "##川": 29367, + "##州": 29368, + "##巿": 29369, + "##帝": 29370, + "##平": 29371, + "##年": 29372, + "##幸": 29373, + "##广": 29374, + "##弘": 29375, + "##張": 29376, + "##彳": 29377, + "##後": 29378, + "##御": 29379, + "##德": 29380, + "##心": 29381, + "##忄": 29382, + "##志": 29383, + "##忠": 29384, + "##愛": 29385, + "##成": 29386, + "##我": 29387, + "##戦": 29388, + "##戸": 29389, + "##手": 29390, + "##扌": 29391, + "##政": 29392, + "##文": 29393, + "##新": 29394, + "##方": 29395, + "##日": 29396, + "##明": 29397, + "##星": 29398, + "##春": 29399, + "##昭": 29400, + "##智": 29401, + "##曲": 29402, + "##書": 29403, + "##月": 29404, + "##有": 29405, + "##朝": 29406, + "##木": 29407, + "##本": 29408, + "##李": 29409, + "##村": 29410, + "##東": 29411, + "##松": 29412, + "##林": 29413, + "##森": 29414, + "##楊": 29415, + "##樹": 29416, + "##橋": 29417, + "##歌": 29418, + "##止": 29419, + "##正": 29420, + "##武": 29421, + "##比": 29422, + "##氏": 29423, + "##民": 29424, + "##水": 29425, + "##氵": 29426, + "##氷": 29427, + "##永": 29428, + "##江": 29429, + "##沢": 29430, + "##河": 29431, + "##治": 29432, + "##法": 29433, + "##海": 29434, + "##清": 29435, + "##漢": 29436, + "##瀬": 29437, + "##火": 29438, + "##版": 29439, + "##犬": 29440, + "##王": 29441, + "##生": 29442, + "##田": 29443, + "##男": 29444, + "##疒": 29445, + "##発": 29446, + "##白": 29447, + "##的": 29448, + "##皇": 29449, + "##目": 29450, + "##相": 29451, + "##省": 29452, + "##真": 29453, + "##石": 29454, + "##示": 29455, + "##社": 29456, + "##神": 29457, + "##福": 29458, + "##禾": 29459, + "##秀": 29460, + "##秋": 29461, + "##空": 29462, + "##立": 29463, + "##章": 29464, + "##竹": 29465, + "##糹": 29466, + "##美": 29467, + "##義": 29468, + "##耳": 29469, + "##良": 29470, + "##艹": 29471, + "##花": 29472, + "##英": 29473, + "##華": 29474, + "##葉": 29475, + "##藤": 29476, + "##行": 29477, + "##街": 29478, + "##西": 29479, + "##見": 29480, + "##訁": 29481, + "##語": 29482, + "##谷": 29483, + "##貝": 29484, + "##貴": 29485, + "##車": 29486, + "##軍": 29487, + "##辶": 29488, + "##道": 29489, + "##郎": 29490, + "##郡": 29491, + "##部": 29492, + "##都": 29493, + "##里": 29494, + "##野": 29495, + "##金": 29496, + "##鈴": 29497, + "##镇": 29498, + "##長": 29499, + "##門": 29500, + "##間": 29501, + "##阝": 29502, + "##阿": 29503, + "##陳": 29504, + "##陽": 29505, + "##雄": 29506, + "##青": 29507, + "##面": 29508, + "##風": 29509, + "##食": 29510, + "##香": 29511, + "##馬": 29512, + "##高": 29513, + "##龍": 29514, + "##龸": 29515, + "##fi": 29516, + "##fl": 29517, + "##！": 29518, + "##（": 29519, + "##）": 29520, + "##，": 29521, + "##－": 29522, + "##．": 29523, + "##／": 29524, + "##：": 29525, + "##？": 29526, + "##～": 29527 + } + } +} \ No newline at end of file diff --git a/tests/test_model.rs b/tests/test_model.rs index 367f746..4b60253 100644 --- a/tests/test_model.rs +++ b/tests/test_model.rs @@ -76,6 +76,87 @@ fn test_load_static_embedding_layout() { assert!(!emb[0].is_empty()); } +/// Fix 1: subfolder pointing directly at the 0_StaticEmbedding directory +/// Config lives one level up; loader should still succeed. +#[test] +fn test_load_static_embedding_via_subfolder() { + // repo_or_path = parent, subfolder = "0_StaticEmbedding" + let model = StaticModel::from_pretrained( + "tests/fixtures/test-model-static-embedding", + None, + None, + Some("0_StaticEmbedding"), + ) + .expect("should load when subfolder='0_StaticEmbedding'"); + assert!(!model.encode(&["hello".to_string()])[0].is_empty()); + + // repo_or_path points directly at the subfolder + let model2 = StaticModel::from_pretrained( + "tests/fixtures/test-model-static-embedding/0_StaticEmbedding", + None, + None, + None, + ) + .expect("should load when path points directly at 0_StaticEmbedding"); + assert!(!model2.encode(&["hello".to_string()])[0].is_empty()); +} + +/// Fix 2: both config.json and config_sentence_transformers.json present — ST wins +/// (embedding.weight key must be found even though config.json is also on disk). +#[test] +fn test_load_both_configs_prefers_sentence_transformers() { + let model = StaticModel::from_pretrained( + "tests/fixtures/test-model-both-configs", + None, + None, + None, + ) + .expect("should load when both config files are present"); + assert!(!model.encode(&["hello".to_string()])[0].is_empty()); +} + +/// Fix 3a: no normalize key in config, but modules.json has a Normalize stage → normalize=true +#[test] +fn test_normalize_from_modules_json_true() { + let model = StaticModel::from_pretrained( + "tests/fixtures/test-model-modules-normalize", + None, + None, + None, + ) + .unwrap(); + let emb = model.encode(&["hello world".to_string()])[0].clone(); + let norm: f32 = emb.iter().map(|&x| x * x).sum::().sqrt(); + assert!((norm - 1.0).abs() < 1e-5, "expected unit norm, got {norm}"); +} + +/// Fix 3b: no normalize key in config, modules.json has NO Normalize stage → normalize=false +#[test] +fn test_normalize_from_modules_json_false() { + let model_no_norm = StaticModel::from_pretrained( + "tests/fixtures/test-model-modules-no-normalize", + None, + None, + None, + ) + .unwrap(); + let emb_no = model_no_norm.encode(&["hello world".to_string()])[0].clone(); + let norm_no: f32 = emb_no.iter().map(|&x| x * x).sum::().sqrt(); + + let model_norm = StaticModel::from_pretrained( + "tests/fixtures/test-model-modules-normalize", + None, + None, + None, + ) + .unwrap(); + let emb_norm = model_norm.encode(&["hello world".to_string()])[0].clone(); + let norm_norm: f32 = emb_norm.iter().map(|&x| x * x).sum::().sqrt(); + + assert!((norm_norm - 1.0).abs() < 1e-5, "normalized model should have unit norm"); + assert!(norm_no > norm_norm, "un-normalized model should have larger norm"); +} + /// Sentence-transformers and model2vec layouts with the same weights should give identical embeddings #[test] fn test_sentence_transformers_matches_model2vec() { From fd6f6e1bd5f430fe9d9809d1f112ab7509d2b20b Mon Sep 17 00:00:00 2001 From: Pringled Date: Fri, 13 Mar 2026 09:52:03 +0100 Subject: [PATCH 03/16] Updated tests and loading logic --- src/model.rs | 171 +- .../path/0_StaticEmbedding/model.safetensors | Bin 0 -> 236312 bytes .../path/0_StaticEmbedding/tokenizer.json | 29678 ++++++++++++++++ .../path/config_sentence_transformers.json | 1 + .../some/path/modules.json | 1 + tests/test_model.rs | 26 + 6 files changed, 29831 insertions(+), 46 deletions(-) create mode 100644 tests/fixtures/test-nested-static-embedding/some/path/0_StaticEmbedding/model.safetensors create mode 100644 tests/fixtures/test-nested-static-embedding/some/path/0_StaticEmbedding/tokenizer.json create mode 100644 tests/fixtures/test-nested-static-embedding/some/path/config_sentence_transformers.json create mode 100644 tests/fixtures/test-nested-static-embedding/some/path/modules.json diff --git a/src/model.rs b/src/model.rs index 5791523..c31dffd 100644 --- a/src/model.rs +++ b/src/model.rs @@ -1,6 +1,6 @@ use anyhow::{anyhow, Context, Result}; use half::f16; -use hf_hub::api::sync::Api; +use hf_hub::api::sync::{Api, ApiRepo}; use ndarray::Array2; use safetensors::{tensor::Dtype, SafeTensors}; use serde_json::Value; @@ -12,6 +12,8 @@ struct ResolvedPaths { tokenizer_path: PathBuf, model_path: PathBuf, config_path: PathBuf, + /// Explicitly downloaded/located `modules.json`; `None` for local paths (derived at read time). + modules_path: Option, /// Safetensors key for the embedding matrix. embedding_key: &'static str, } @@ -33,7 +35,7 @@ fn resolve_local(folder: &Path) -> Option { let c = folder.join("config.json"); let c_st = folder.join("config_sentence_transformers.json"); if t.exists() && m.exists() && c.exists() && !c_st.exists() { - return Some(ResolvedPaths { tokenizer_path: t, model_path: m, config_path: c, embedding_key: "embeddings" }); + return Some(ResolvedPaths { tokenizer_path: t, model_path: m, config_path: c, modules_path: None, embedding_key: "embeddings" }); } // 2. Sentence Transformers root: config_sentence_transformers.json + model.safetensors + tokenizer.json @@ -43,6 +45,7 @@ fn resolve_local(folder: &Path) -> Option { tokenizer_path: t, model_path: m, config_path: c_st, + modules_path: None, embedding_key: "embedding.weight", }); } @@ -56,6 +59,7 @@ fn resolve_local(folder: &Path) -> Option { tokenizer_path: t_sub, model_path: m_sub, config_path: c_st, + modules_path: None, embedding_key: "embedding.weight", }); } @@ -71,6 +75,7 @@ fn resolve_local(folder: &Path) -> Option { tokenizer_path: t, model_path: m, config_path: c_parent, + modules_path: None, embedding_key: "embedding.weight", }); } @@ -80,14 +85,49 @@ fn resolve_local(folder: &Path) -> Option { None } +/// Strip the last path component from a Hub prefix (which always ends with `/`). +/// +/// Returns the parent prefix, also ending with `/`, or an empty string for the repo root. +/// +/// * `"0_StaticEmbedding/"` → `""` +/// * `"some/path/0_StaticEmbedding/"` → `"some/path/"` +fn parent_of_prefix(prefix: &str) -> String { + let trimmed = prefix.trim_end_matches('/'); + match Path::new(trimmed).parent() { + Some(p) if !p.as_os_str().is_empty() => format!("{}/", p.display()), + _ => String::new(), + } +} + +/// Download the tokenizer and model files for a sentence-transformers Hub repo. +/// +/// Tries the root layout first (`{prefix}tokenizer.json` + `{prefix}model.safetensors`), +/// then falls back to the `0_StaticEmbedding` subfolder. +fn hub_st_files(repo: &ApiRepo, prefix: &str) -> Result<(PathBuf, PathBuf)> { + if let (Ok(t), Ok(m)) = ( + repo.get(&format!("{prefix}tokenizer.json")), + repo.get(&format!("{prefix}model.safetensors")), + ) { + return Ok((t, m)); + } + let t = repo + .get(&format!("{prefix}0_StaticEmbedding/tokenizer.json")) + .context("tokenizer.json not found (tried root and 0_StaticEmbedding/)")?; + let m = repo + .get(&format!("{prefix}0_StaticEmbedding/model.safetensors")) + .context("model.safetensors not found (tried root and 0_StaticEmbedding/)")?; + Ok((t, m)) +} + /// Read the normalize flag from a model's config and optional `modules.json`. /// /// Resolution order: /// 1. `normalize` key in the config file. -/// 2. Presence of a `sentence_transformers.models.Normalize` entry in `modules.json` -/// (located next to the config file). +/// 2. Presence of a `sentence_transformers.models.Normalize` entry in `modules.json`. +/// For local paths `explicit_modules` is `None` and the file is looked up next to +/// the config; for Hub downloads the already-fetched path is passed explicitly. /// 3. Default: `true`. -fn read_normalize(config_path: &Path) -> bool { +fn read_normalize(config_path: &Path, explicit_modules: Option<&Path>) -> bool { // 1. Check config file if let Ok(f) = std::fs::File::open(config_path) { if let Ok(cfg) = serde_json::from_reader::<_, Value>(f) { @@ -97,20 +137,30 @@ fn read_normalize(config_path: &Path) -> bool { } } - // 2. Check modules.json for a Normalize pipeline stage - let modules_path = config_path - .parent() - .unwrap_or_else(|| Path::new("")) - .join("modules.json"); - if let Ok(f) = std::fs::File::open(&modules_path) { - if let Ok(Value::Array(modules)) = serde_json::from_reader::<_, Value>(f) { - return modules.iter().any(|module| { - module - .get("type") - .and_then(Value::as_str) - .map(|t| t.contains("Normalize")) - .unwrap_or(false) - }); + // 2. Check modules.json for a Normalize pipeline stage. + // Use explicit path when provided (Hub), otherwise derive from config's directory (local). + let derived; + let modules_path: Option<&Path> = match explicit_modules { + Some(p) => Some(p), + None => { + derived = config_path + .parent() + .unwrap_or_else(|| Path::new("")) + .join("modules.json"); + if derived.exists() { Some(&derived) } else { None } + } + }; + if let Some(mp) = modules_path { + if let Ok(f) = std::fs::File::open(mp) { + if let Ok(Value::Array(modules)) = serde_json::from_reader::<_, Value>(f) { + return modules.iter().any(|module| { + module + .get("type") + .and_then(Value::as_str) + .map(|t| t.contains("Normalize")) + .unwrap_or(false) + }); + } } } @@ -155,7 +205,7 @@ impl StaticModel { } // Locate model files by trying layouts in priority order - let ResolvedPaths { tokenizer_path: tok_path, model_path: mdl_path, config_path: cfg_path, embedding_key } = { + let ResolvedPaths { tokenizer_path: tok_path, model_path: mdl_path, config_path: cfg_path, modules_path: mod_path, embedding_key } = { let base = repo_or_path.as_ref(); if base.exists() { let folder = subfolder.map(|s| base.join(s)).unwrap_or_else(|| base.to_path_buf()); @@ -169,38 +219,41 @@ impl StaticModel { let repo = api.model(repo_or_path.as_ref().to_string_lossy().into_owned()); let prefix = subfolder.map(|s| format!("{s}/")).unwrap_or_default(); - // 1. Native model2vec - if let Ok(c) = repo.get(&format!("{prefix}config.json")) { - let t = repo.get(&format!("{prefix}tokenizer.json")).context("tokenizer.json missing")?; - let m = repo.get(&format!("{prefix}model.safetensors")).context("model.safetensors missing")?; - ResolvedPaths { tokenizer_path: t, model_path: m, config_path: c, embedding_key: "embeddings" } - } - // 2. Sentence Transformers (root or 0_StaticEmbedding subfolder) - else if let Ok(c) = repo.get(&format!("{prefix}config_sentence_transformers.json")) { - // Try root layout first - if let (Ok(t), Ok(m)) = ( - repo.get(&format!("{prefix}tokenizer.json")), - repo.get(&format!("{prefix}model.safetensors")), - ) { - ResolvedPaths { tokenizer_path: t, model_path: m, config_path: c, embedding_key: "embedding.weight" } + // modules.json is optional; download it now so read_normalize can inspect it. + let modules = repo.get(&format!("{prefix}modules.json")).ok(); + + // 1. config.json exists — check whether config_sentence_transformers.json also + // exists. If both are present, ST wins (mirrors the local resolver's guard). + if let Ok(c_m2v) = repo.get(&format!("{prefix}config.json")) { + if let Ok(c_st) = repo.get(&format!("{prefix}config_sentence_transformers.json")) { + // Both configs → sentence-transformers layout takes precedence + let (t, m) = hub_st_files(&repo, &prefix)?; + ResolvedPaths { tokenizer_path: t, model_path: m, config_path: c_st, modules_path: modules, embedding_key: "embedding.weight" } } else { - // Fall back to 0_StaticEmbedding subfolder - let t = repo.get(&format!("{prefix}0_StaticEmbedding/tokenizer.json")) - .context("tokenizer.json not found (tried root and 0_StaticEmbedding/)")?; - let m = repo.get(&format!("{prefix}0_StaticEmbedding/model.safetensors")) - .context("model.safetensors not found (tried root and 0_StaticEmbedding/)")?; - ResolvedPaths { tokenizer_path: t, model_path: m, config_path: c, embedding_key: "embedding.weight" } + // Only config.json → native model2vec + let t = repo.get(&format!("{prefix}tokenizer.json")).context("tokenizer.json missing")?; + let m = repo.get(&format!("{prefix}model.safetensors")).context("model.safetensors missing")?; + ResolvedPaths { tokenizer_path: t, model_path: m, config_path: c_m2v, modules_path: modules, embedding_key: "embeddings" } } } - // 3. Config-in-parent fallback: subfolder points directly at the model files, - // config_sentence_transformers.json lives at the repo root (no prefix). + // 2. Only config_sentence_transformers.json (root or 0_StaticEmbedding subfolder) + else if let Ok(c_st) = repo.get(&format!("{prefix}config_sentence_transformers.json")) { + let (t, m) = hub_st_files(&repo, &prefix)?; + ResolvedPaths { tokenizer_path: t, model_path: m, config_path: c_st, modules_path: modules, embedding_key: "embedding.weight" } + } + // 3. Config-in-parent fallback: the subfolder points directly at the model + // files and the config lives one level up (mirrors resolve_local layout 4). + // Use parent_of_prefix so nested paths like "some/path/0_StaticEmbedding/" + // look in "some/path/", not the repo root. else if !prefix.is_empty() { - if let Ok(c) = repo.get("config_sentence_transformers.json") { + let parent_prefix = parent_of_prefix(&prefix); + let parent_modules = repo.get(&format!("{parent_prefix}modules.json")).ok(); + if let Ok(c) = repo.get(&format!("{parent_prefix}config_sentence_transformers.json")) { let t = repo.get(&format!("{prefix}tokenizer.json")) .context("tokenizer.json not found in subfolder")?; let m = repo.get(&format!("{prefix}model.safetensors")) .context("model.safetensors not found in subfolder")?; - ResolvedPaths { tokenizer_path: t, model_path: m, config_path: c, embedding_key: "embedding.weight" } + ResolvedPaths { tokenizer_path: t, model_path: m, config_path: c, modules_path: parent_modules, embedding_key: "embedding.weight" } } else { return Err(anyhow!( "no valid model layout found on HuggingFace Hub for '{}'. \ @@ -229,8 +282,9 @@ impl StaticModel { lens.sort_unstable(); let median_token_length = lens.get(lens.len() / 2).copied().unwrap_or(1); - // Read normalize default: config file first, then modules.json, then true - let normalize = normalize.unwrap_or_else(|| read_normalize(&cfg_path)); + // Read normalize default: config file first, then modules.json, then true. + // Pass the explicitly downloaded modules path for Hub models; local models derive it. + let normalize = normalize.unwrap_or_else(|| read_normalize(&cfg_path, mod_path.as_deref())); // Serialize the tokenizer to JSON, then parse it and get the unk_token let spec_json = tokenizer @@ -447,3 +501,28 @@ impl StaticModel { sum } } + +#[cfg(test)] +mod tests { + use super::parent_of_prefix; + + #[test] + fn test_parent_of_prefix_root_subfolder() { + assert_eq!(parent_of_prefix("0_StaticEmbedding/"), ""); + } + + #[test] + fn test_parent_of_prefix_nested() { + assert_eq!(parent_of_prefix("some/path/0_StaticEmbedding/"), "some/path/"); + } + + #[test] + fn test_parent_of_prefix_single_level() { + assert_eq!(parent_of_prefix("models/"), ""); + } + + #[test] + fn test_parent_of_prefix_two_levels() { + assert_eq!(parent_of_prefix("a/b/"), "a/"); + } +} diff --git a/tests/fixtures/test-nested-static-embedding/some/path/0_StaticEmbedding/model.safetensors b/tests/fixtures/test-nested-static-embedding/some/path/0_StaticEmbedding/model.safetensors new file mode 100644 index 0000000000000000000000000000000000000000..87317abc4151964d3053b652e3190bb1f29b96a0 GIT binary patch literal 236312 zcmX7vc{Eqg|Ho~SCE53^g)AvcO1$rD%2Jkuw2(@v$WlZrDuwL37K9X~LWwrs^BSU6 zMJpv*^-)P_q0P_t{O*7E+;is4Idf;``FcJduSEj?|LoFT7rJI$KtNE~hH2Z@1#Jk7 z)V0~A8xXl;^EzD{T}KOZT@&3cf&Tw{^EIDsWj@Qq+|NWez(3M|)u#39x2%iYGWKD* 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29499, + "##門": 29500, + "##間": 29501, + "##阝": 29502, + "##阿": 29503, + "##陳": 29504, + "##陽": 29505, + "##雄": 29506, + "##青": 29507, + "##面": 29508, + "##風": 29509, + "##食": 29510, + "##香": 29511, + "##馬": 29512, + "##高": 29513, + "##龍": 29514, + "##龸": 29515, + "##fi": 29516, + "##fl": 29517, + "##！": 29518, + "##（": 29519, + "##）": 29520, + "##，": 29521, + "##－": 29522, + "##．": 29523, + "##／": 29524, + "##：": 29525, + "##？": 29526, + "##～": 29527 + } + } +} \ No newline at end of file diff --git a/tests/fixtures/test-nested-static-embedding/some/path/config_sentence_transformers.json b/tests/fixtures/test-nested-static-embedding/some/path/config_sentence_transformers.json new file mode 100644 index 0000000..b7249f7 --- /dev/null +++ b/tests/fixtures/test-nested-static-embedding/some/path/config_sentence_transformers.json @@ -0,0 +1 @@ +{"normalize": true} \ No newline at end of file diff --git a/tests/fixtures/test-nested-static-embedding/some/path/modules.json b/tests/fixtures/test-nested-static-embedding/some/path/modules.json new file mode 100644 index 0000000..7289584 --- /dev/null +++ b/tests/fixtures/test-nested-static-embedding/some/path/modules.json @@ -0,0 +1 @@ +[{"idx": 0, "name": "0", "path": ".", "type": "sentence_transformers.models.StaticEmbedding"}, {"idx": 1, "name": "1", "path": "1_Normalize", "type": "sentence_transformers.models.Normalize"}] \ No newline at end of file diff --git a/tests/test_model.rs b/tests/test_model.rs index 4b60253..8945be0 100644 --- a/tests/test_model.rs +++ b/tests/test_model.rs @@ -179,6 +179,32 @@ fn test_sentence_transformers_matches_model2vec() { } } +/// Fix: nested subfolder — config lives in `some/path/`, model files in `some/path/0_StaticEmbedding/`. +/// Both `subfolder = "some/path/0_StaticEmbedding"` and a direct path into the embedding dir +/// must load successfully, mirroring what the Hub branch now does via parent_of_prefix(). +#[test] +fn test_load_nested_static_embedding_subfolder() { + // repo_or_path = root, subfolder points to the nested embedding dir + let model = StaticModel::from_pretrained( + "tests/fixtures/test-nested-static-embedding", + None, + None, + Some("some/path/0_StaticEmbedding"), + ) + .expect("should load with nested subfolder='some/path/0_StaticEmbedding'"); + assert!(!model.encode(&["hello".to_string()])[0].is_empty()); + + // Direct path into the nested embedding dir (no subfolder arg) + let model2 = StaticModel::from_pretrained( + "tests/fixtures/test-nested-static-embedding/some/path/0_StaticEmbedding", + None, + None, + None, + ) + .expect("should load when path points directly at nested 0_StaticEmbedding"); + assert!(!model2.encode(&["hello".to_string()])[0].is_empty()); +} + /// Test that a path missing all known layouts gives a helpful error #[test] fn test_load_invalid_path_error() { From 62df8c2f0ee144b20eec811d2b80c708e9d6740a Mon Sep 17 00:00:00 2001 From: Pringled Date: Fri, 13 Mar 2026 10:16:05 +0100 Subject: [PATCH 04/16] Refactoring logic --- Cargo.lock | 49 + Cargo.toml | 1 + src/model.rs | 519 +- tests/common.rs | 89 +- .../test-model-both-configs/config.json | 1 - .../config_sentence_transformers.json | 1 - .../test-model-both-configs/model.safetensors | Bin 236312 -> 0 bytes .../test-model-both-configs/tokenizer.json | 29678 ---------------- .../config_sentence_transformers.json | 1 - .../model.safetensors | Bin 236312 -> 0 bytes .../modules.json | 1 - .../tokenizer.json | 29678 ---------------- .../config_sentence_transformers.json | 1 - .../model.safetensors | Bin 236312 -> 0 bytes .../test-model-modules-normalize/modules.json | 1 - .../tokenizer.json | 29678 ---------------- .../path/0_StaticEmbedding/model.safetensors | Bin 236312 -> 0 bytes .../path/0_StaticEmbedding/tokenizer.json | 29678 ---------------- .../path/config_sentence_transformers.json | 1 - .../some/path/modules.json | 1 - tests/test_model.rs | 279 +- 21 files changed, 473 insertions(+), 119184 deletions(-) delete mode 100644 tests/fixtures/test-model-both-configs/config.json delete mode 100644 tests/fixtures/test-model-both-configs/config_sentence_transformers.json delete mode 100644 tests/fixtures/test-model-both-configs/model.safetensors delete mode 100644 tests/fixtures/test-model-both-configs/tokenizer.json delete mode 100644 tests/fixtures/test-model-modules-no-normalize/config_sentence_transformers.json delete mode 100644 tests/fixtures/test-model-modules-no-normalize/model.safetensors delete mode 100644 tests/fixtures/test-model-modules-no-normalize/modules.json delete mode 100644 tests/fixtures/test-model-modules-no-normalize/tokenizer.json delete mode 100644 tests/fixtures/test-model-modules-normalize/config_sentence_transformers.json delete mode 100644 tests/fixtures/test-model-modules-normalize/model.safetensors delete mode 100644 tests/fixtures/test-model-modules-normalize/modules.json delete mode 100644 tests/fixtures/test-model-modules-normalize/tokenizer.json delete mode 100644 tests/fixtures/test-nested-static-embedding/some/path/0_StaticEmbedding/model.safetensors delete mode 100644 tests/fixtures/test-nested-static-embedding/some/path/0_StaticEmbedding/tokenizer.json delete mode 100644 tests/fixtures/test-nested-static-embedding/some/path/config_sentence_transformers.json delete mode 100644 tests/fixtures/test-nested-static-embedding/some/path/modules.json diff --git a/Cargo.lock b/Cargo.lock index 6083e83..d6a31f8 100644 --- a/Cargo.lock +++ b/Cargo.lock @@ -410,6 +410,16 @@ version = "1.0.0" source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "34aa73646ffb006b8f5147f3dc182bd4bcb190227ce861fc4a4844bf8e3cb2c0" +[[package]] +name = "errno" +version = "0.3.14" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "39cab71617ae0d63f51a36d69f866391735b51691dbda63cf6f96d042b63efeb" +dependencies = [ + "libc", + "windows-sys 0.60.2", +] + [[package]] name = "esaxx-rs" version = "0.1.10" @@ -430,6 +440,12 @@ dependencies = [ "regex-syntax", ] +[[package]] +name = "fastrand" +version = "2.3.0" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "37909eebbb50d72f9059c3b6d82c0463f2ff062c9e95845c43a6c9c0355411be" + [[package]] name = "flate2" version = "1.1.2" @@ -697,6 +713,12 @@ dependencies = [ "libc", ] +[[package]] +name = "linux-raw-sys" +version = "0.11.0" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "df1d3c3b53da64cf5760482273a98e575c651a67eec7f77df96b5b642de8f039" + [[package]] name = "litemap" version = "0.8.0" @@ -768,6 +790,7 @@ dependencies = [ "ndarray", "safetensors", "serde_json", + "tempfile", "tokenizers", ] @@ -1074,6 +1097,19 @@ dependencies = [ "windows-sys 0.52.0", ] +[[package]] +name = "rustix" +version = "1.1.2" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "cd15f8a2c5551a84d56efdc1cd049089e409ac19a3072d5037a17fd70719ff3e" +dependencies = [ + "bitflags", + "errno", + "libc", + "linux-raw-sys", + "windows-sys 0.60.2", +] + [[package]] name = "rustls" version = "0.23.31" @@ -1244,6 +1280,19 @@ dependencies = [ "syn", ] +[[package]] +name = "tempfile" +version = "3.23.0" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "2d31c77bdf42a745371d260a26ca7163f1e0924b64afa0b688e61b5a9fa02f16" +dependencies = [ + "fastrand", + "getrandom 0.3.3", + "once_cell", + "rustix", + "windows-sys 0.60.2", +] + [[package]] name = "thiserror" version = "2.0.15" diff --git a/Cargo.toml b/Cargo.toml index 4f1b27e..b685056 100644 --- a/Cargo.toml +++ b/Cargo.toml @@ -38,3 +38,4 @@ half = "2.0" [dev-dependencies] approx = "0.5" serde_json = "1.0" +tempfile = "3" diff --git a/src/model.rs b/src/model.rs index c31dffd..1de16f9 100644 --- a/src/model.rs +++ b/src/model.rs @@ -7,88 +7,169 @@ use serde_json::Value; use std::{env, fs, path::{Path, PathBuf}}; use tokenizers::Tokenizer; -/// Resolved file paths and embedding tensor key for a detected model layout. +// --------------------------------------------------------------------------- +// Layout detection +// --------------------------------------------------------------------------- + +/// Which embedding-tensor naming convention a model uses. +#[derive(Debug, Clone, Copy)] +enum ModelLayout { + /// Native model2vec export: tensor key `"embeddings"`. + Native, + /// Sentence Transformers export: tensor key `"embedding.weight"`. + SentenceTransformers, +} + +impl ModelLayout { + fn embedding_key(self) -> &'static str { + match self { + Self::Native => "embeddings", + Self::SentenceTransformers => "embedding.weight", + } + } +} + +/// Resolved file paths and layout for a detected model. struct ResolvedPaths { tokenizer_path: PathBuf, model_path: PathBuf, config_path: PathBuf, - /// Explicitly downloaded/located `modules.json`; `None` for local paths (derived at read time). + /// Explicitly located `modules.json`; `None` for local paths (derived at read time). modules_path: Option, - /// Safetensors key for the embedding matrix. - embedding_key: &'static str, + layout: ModelLayout, } -/// Try to detect a valid model layout in a local folder. -/// -/// Tries layouts in order: -/// 1. model2vec: `config.json` + `model.safetensors` + `tokenizer.json` -/// 2. Sentence Transformers root: `config_sentence_transformers.json` + `model.safetensors` + `tokenizer.json` -/// 3. 0_StaticEmbedding subfolder: `config_sentence_transformers.json` at root, model files under `0_StaticEmbedding/` -/// 4. Config-in-parent fallback: model files at `folder`, `config_sentence_transformers.json` one level up -/// (handles `subfolder = "0_StaticEmbedding"` or direct paths into the embedding subfolder). -fn resolve_local(folder: &Path) -> Option { - let t = folder.join("tokenizer.json"); - let m = folder.join("model.safetensors"); - - // 1. Native model2vec: config.json + model.safetensors + tokenizer.json - // (config_sentence_transformers.json must NOT coexist to avoid misidentifying ST exports) - let c = folder.join("config.json"); - let c_st = folder.join("config_sentence_transformers.json"); - if t.exists() && m.exists() && c.exists() && !c_st.exists() { - return Some(ResolvedPaths { tokenizer_path: t, model_path: m, config_path: c, modules_path: None, embedding_key: "embeddings" }); - } - - // 2. Sentence Transformers root: config_sentence_transformers.json + model.safetensors + tokenizer.json - // This also covers model2vec models re-exported via sentence-transformers (both configs present). - if c_st.exists() && t.exists() && m.exists() { - return Some(ResolvedPaths { - tokenizer_path: t, - model_path: m, - config_path: c_st, - modules_path: None, - embedding_key: "embedding.weight", - }); - } +/// Static description of one supported model layout. +struct LayoutSpec { + /// Config file name, relative to the config base directory. + config_file: &'static str, + /// Tokenizer path, relative to the model base directory. + tokenizer_file: &'static str, + /// Model weights path, relative to the model base directory. + model_file: &'static str, + /// `true` if the config lives in the *parent* of the model directory (layout 4). + config_in_parent: bool, + /// Skip this layout when `config_sentence_transformers.json` coexists with the config + /// (prevents misidentifying an ST-exported model2vec model as native). + skip_if_st_config: bool, + layout: ModelLayout, +} - // 3. 0_StaticEmbedding subfolder: config_sentence_transformers.json at root, model files in subfolder - let sub = folder.join("0_StaticEmbedding"); - let t_sub = sub.join("tokenizer.json"); - let m_sub = sub.join("model.safetensors"); - if c_st.exists() && t_sub.exists() && m_sub.exists() { +static LAYOUTS: &[LayoutSpec] = &[ + // 1. Native model2vec + LayoutSpec { + config_file: "config.json", + tokenizer_file: "tokenizer.json", + model_file: "model.safetensors", + config_in_parent: false, + skip_if_st_config: true, + layout: ModelLayout::Native, + }, + // 2. Sentence Transformers root layout + LayoutSpec { + config_file: "config_sentence_transformers.json", + tokenizer_file: "tokenizer.json", + model_file: "model.safetensors", + config_in_parent: false, + skip_if_st_config: false, + layout: ModelLayout::SentenceTransformers, + }, + // 3. Sentence Transformers 0_StaticEmbedding subfolder + LayoutSpec { + config_file: "config_sentence_transformers.json", + tokenizer_file: "0_StaticEmbedding/tokenizer.json", + model_file: "0_StaticEmbedding/model.safetensors", + config_in_parent: false, + skip_if_st_config: false, + layout: ModelLayout::SentenceTransformers, + }, + // 4. Config-in-parent (caller passed subfolder pointing directly at model files) + LayoutSpec { + config_file: "config_sentence_transformers.json", + tokenizer_file: "tokenizer.json", + model_file: "model.safetensors", + config_in_parent: true, + skip_if_st_config: false, + layout: ModelLayout::SentenceTransformers, + }, +]; + +/// Try each `LAYOUTS` entry against a local folder. +fn resolve_local(folder: &Path) -> Option { + for spec in LAYOUTS { + let config_base = if spec.config_in_parent { folder.parent()? } else { folder }; + let config_path = config_base.join(spec.config_file); + if !config_path.exists() { + continue; + } + if spec.skip_if_st_config && folder.join("config_sentence_transformers.json").exists() { + continue; + } + let tokenizer_path = folder.join(spec.tokenizer_file); + let model_path = folder.join(spec.model_file); + if !tokenizer_path.exists() || !model_path.exists() { + continue; + } return Some(ResolvedPaths { - tokenizer_path: t_sub, - model_path: m_sub, - config_path: c_st, + tokenizer_path, + model_path, + config_path, modules_path: None, - embedding_key: "embedding.weight", + layout: spec.layout, }); } + None +} - // 4. Config-in-parent fallback: the caller pointed directly at the embedding subfolder - // (e.g. subfolder="0_StaticEmbedding" or repo_or_path = ".../0_StaticEmbedding"). - // The config lives one level up in the actual ST model root. - if t.exists() && m.exists() { - if let Some(parent) = folder.parent() { - let c_parent = parent.join("config_sentence_transformers.json"); - if c_parent.exists() { - return Some(ResolvedPaths { - tokenizer_path: t, - model_path: m, - config_path: c_parent, - modules_path: None, - embedding_key: "embedding.weight", - }); - } +/// Try each `LAYOUTS` entry against a HuggingFace Hub repo. +/// +/// Config files are fetched first; absent ones skip the layout. Model/tokenizer fetches +/// also silently skip on failure so that layouts 2 and 3 (which share the same config +/// file) can be tried independently without a second config download. +fn resolve_hub(repo: &ApiRepo, prefix: &str) -> Result { + for spec in LAYOUTS { + let config_prefix: String = if spec.config_in_parent { + parent_of_prefix(prefix) + } else { + prefix.to_string() + }; + let Ok(config_path) = repo.get(&format!("{config_prefix}{}", spec.config_file)) else { + continue; + }; + if spec.skip_if_st_config + && repo + .get(&format!("{config_prefix}config_sentence_transformers.json")) + .is_ok() + { + continue; } + let Ok(tokenizer_path) = repo.get(&format!("{prefix}{}", spec.tokenizer_file)) else { + continue; + }; + let Ok(model_path) = repo.get(&format!("{prefix}{}", spec.model_file)) else { + continue; + }; + let modules_path = repo.get(&format!("{config_prefix}modules.json")).ok(); + return Ok(ResolvedPaths { + tokenizer_path, + model_path, + config_path, + modules_path, + layout: spec.layout, + }); } - - None + Err(anyhow!( + "no valid model layout found. Tried config files: {}", + LAYOUTS + .iter() + .map(|s| s.config_file) + .collect::>() + .join(", ") + )) } /// Strip the last path component from a Hub prefix (which always ends with `/`). /// -/// Returns the parent prefix, also ending with `/`, or an empty string for the repo root. -/// /// * `"0_StaticEmbedding/"` → `""` /// * `"some/path/0_StaticEmbedding/"` → `"some/path/"` fn parent_of_prefix(prefix: &str) -> String { @@ -99,75 +180,54 @@ fn parent_of_prefix(prefix: &str) -> String { } } -/// Download the tokenizer and model files for a sentence-transformers Hub repo. -/// -/// Tries the root layout first (`{prefix}tokenizer.json` + `{prefix}model.safetensors`), -/// then falls back to the `0_StaticEmbedding` subfolder. -fn hub_st_files(repo: &ApiRepo, prefix: &str) -> Result<(PathBuf, PathBuf)> { - if let (Ok(t), Ok(m)) = ( - repo.get(&format!("{prefix}tokenizer.json")), - repo.get(&format!("{prefix}model.safetensors")), - ) { - return Ok((t, m)); - } - let t = repo - .get(&format!("{prefix}0_StaticEmbedding/tokenizer.json")) - .context("tokenizer.json not found (tried root and 0_StaticEmbedding/)")?; - let m = repo - .get(&format!("{prefix}0_StaticEmbedding/model.safetensors")) - .context("model.safetensors not found (tried root and 0_StaticEmbedding/)")?; - Ok((t, m)) +// --------------------------------------------------------------------------- +// Normalisation helpers +// --------------------------------------------------------------------------- + +/// Read the `normalize` boolean from a JSON config file, `None` if absent or unreadable. +fn read_config_normalize(config_path: &Path) -> Option { + let f = std::fs::File::open(config_path).ok()?; + let cfg: Value = serde_json::from_reader(f).ok()?; + cfg.get("normalize").and_then(Value::as_bool) } -/// Read the normalize flag from a model's config and optional `modules.json`. -/// -/// Resolution order: +/// Return whether `modules.json` contains a `Normalize` pipeline stage. +/// Returns `None` if the file cannot be read or parsed. +fn has_normalize_module(modules_path: &Path) -> Option { + let f = std::fs::File::open(modules_path).ok()?; + let Value::Array(modules) = serde_json::from_reader::<_, Value>(f).ok()? else { + return None; + }; + Some(modules.iter().any(|module| { + module + .get("type") + .and_then(Value::as_str) + .map(|t| t.contains("Normalize")) + .unwrap_or(false) + })) +} + +/// Resolve the normalize flag: /// 1. `normalize` key in the config file. -/// 2. Presence of a `sentence_transformers.models.Normalize` entry in `modules.json`. -/// For local paths `explicit_modules` is `None` and the file is looked up next to -/// the config; for Hub downloads the already-fetched path is passed explicitly. -/// 3. Default: `true`. +/// 2. Presence of a `Normalize` module in `modules.json` (sibling of config for local; +/// explicitly passed for Hub downloads so the already-fetched path is reused). +/// 3. Default `true`. fn read_normalize(config_path: &Path, explicit_modules: Option<&Path>) -> bool { - // 1. Check config file - if let Ok(f) = std::fs::File::open(config_path) { - if let Ok(cfg) = serde_json::from_reader::<_, Value>(f) { - if let Some(v) = cfg.get("normalize").and_then(Value::as_bool) { - return v; - } - } - } - - // 2. Check modules.json for a Normalize pipeline stage. - // Use explicit path when provided (Hub), otherwise derive from config's directory (local). - let derived; - let modules_path: Option<&Path> = match explicit_modules { - Some(p) => Some(p), - None => { - derived = config_path - .parent() - .unwrap_or_else(|| Path::new("")) - .join("modules.json"); - if derived.exists() { Some(&derived) } else { None } - } - }; - if let Some(mp) = modules_path { - if let Ok(f) = std::fs::File::open(mp) { - if let Ok(Value::Array(modules)) = serde_json::from_reader::<_, Value>(f) { - return modules.iter().any(|module| { - module - .get("type") - .and_then(Value::as_str) - .map(|t| t.contains("Normalize")) - .unwrap_or(false) - }); - } - } + if let Some(v) = read_config_normalize(config_path) { + return v; } - - // 3. Default - true + let derived = config_path + .parent() + .unwrap_or_else(|| Path::new("")) + .join("modules.json"); + let modules_path = explicit_modules.unwrap_or(&derived); + has_normalize_module(modules_path).unwrap_or(true) } +// --------------------------------------------------------------------------- +// Model +// --------------------------------------------------------------------------- + /// Static embedding model for Model2Vec #[derive(Debug, Clone)] pub struct StaticModel { @@ -183,10 +243,11 @@ pub struct StaticModel { impl StaticModel { /// Load a Model2Vec model from a local folder or the HuggingFace Hub. /// - /// Supports three layouts (tried in order): + /// Supports four layouts (tried in order): /// - **model2vec**: `config.json` + `model.safetensors` + `tokenizer.json` - /// - **sentence-transformers**: `config_sentence_transformers.json` + `model.safetensors` + `tokenizer.json` + /// - **sentence-transformers root**: `config_sentence_transformers.json` + model files at same level /// - **0_StaticEmbedding**: `config_sentence_transformers.json` at root, model files under `0_StaticEmbedding/` + /// - **config-in-parent**: model files in current dir, `config_sentence_transformers.json` one level up /// /// # Arguments /// * `repo_or_path` - HuggingFace repo ID or local path to the model folder. @@ -199,94 +260,44 @@ impl StaticModel { normalize: Option, subfolder: Option<&str>, ) -> Result { - // If provided, set HF token for authenticated downloads if let Some(tok) = token { env::set_var("HF_HUB_TOKEN", tok); } - // Locate model files by trying layouts in priority order - let ResolvedPaths { tokenizer_path: tok_path, model_path: mdl_path, config_path: cfg_path, modules_path: mod_path, embedding_key } = { - let base = repo_or_path.as_ref(); - if base.exists() { - let folder = subfolder.map(|s| base.join(s)).unwrap_or_else(|| base.to_path_buf()); - resolve_local(&folder).ok_or_else(|| anyhow!( + let base = repo_or_path.as_ref(); + let ResolvedPaths { + tokenizer_path: tok_path, + model_path: mdl_path, + config_path: cfg_path, + modules_path: mod_path, + layout, + } = if base.exists() { + let folder = subfolder.map(|s| base.join(s)).unwrap_or_else(|| base.to_path_buf()); + resolve_local(&folder).ok_or_else(|| { + anyhow!( "no valid model layout found in {folder:?}. \ Tried: model2vec (config.json), sentence-transformers \ (config_sentence_transformers.json), and 0_StaticEmbedding subfolder." - ))? - } else { - let api = Api::new().context("hf-hub API init failed")?; - let repo = api.model(repo_or_path.as_ref().to_string_lossy().into_owned()); - let prefix = subfolder.map(|s| format!("{s}/")).unwrap_or_default(); - - // modules.json is optional; download it now so read_normalize can inspect it. - let modules = repo.get(&format!("{prefix}modules.json")).ok(); - - // 1. config.json exists — check whether config_sentence_transformers.json also - // exists. If both are present, ST wins (mirrors the local resolver's guard). - if let Ok(c_m2v) = repo.get(&format!("{prefix}config.json")) { - if let Ok(c_st) = repo.get(&format!("{prefix}config_sentence_transformers.json")) { - // Both configs → sentence-transformers layout takes precedence - let (t, m) = hub_st_files(&repo, &prefix)?; - ResolvedPaths { tokenizer_path: t, model_path: m, config_path: c_st, modules_path: modules, embedding_key: "embedding.weight" } - } else { - // Only config.json → native model2vec - let t = repo.get(&format!("{prefix}tokenizer.json")).context("tokenizer.json missing")?; - let m = repo.get(&format!("{prefix}model.safetensors")).context("model.safetensors missing")?; - ResolvedPaths { tokenizer_path: t, model_path: m, config_path: c_m2v, modules_path: modules, embedding_key: "embeddings" } - } - } - // 2. Only config_sentence_transformers.json (root or 0_StaticEmbedding subfolder) - else if let Ok(c_st) = repo.get(&format!("{prefix}config_sentence_transformers.json")) { - let (t, m) = hub_st_files(&repo, &prefix)?; - ResolvedPaths { tokenizer_path: t, model_path: m, config_path: c_st, modules_path: modules, embedding_key: "embedding.weight" } - } - // 3. Config-in-parent fallback: the subfolder points directly at the model - // files and the config lives one level up (mirrors resolve_local layout 4). - // Use parent_of_prefix so nested paths like "some/path/0_StaticEmbedding/" - // look in "some/path/", not the repo root. - else if !prefix.is_empty() { - let parent_prefix = parent_of_prefix(&prefix); - let parent_modules = repo.get(&format!("{parent_prefix}modules.json")).ok(); - if let Ok(c) = repo.get(&format!("{parent_prefix}config_sentence_transformers.json")) { - let t = repo.get(&format!("{prefix}tokenizer.json")) - .context("tokenizer.json not found in subfolder")?; - let m = repo.get(&format!("{prefix}model.safetensors")) - .context("model.safetensors not found in subfolder")?; - ResolvedPaths { tokenizer_path: t, model_path: m, config_path: c, modules_path: parent_modules, embedding_key: "embedding.weight" } - } else { - return Err(anyhow!( - "no valid model layout found on HuggingFace Hub for '{}'. \ - Tried: model2vec (config.json), sentence-transformers \ - (config_sentence_transformers.json), 0_StaticEmbedding subfolder, \ - and config-in-parent fallback.", - repo_or_path.as_ref().display() - )); - } - } else { - return Err(anyhow!( - "no valid model layout found on HuggingFace Hub for '{}'. \ - Tried: model2vec (config.json), sentence-transformers \ - (config_sentence_transformers.json), and 0_StaticEmbedding subfolder.", - repo_or_path.as_ref().display() - )); - } - } + ) + })? + } else { + let api = Api::new().context("hf-hub API init failed")?; + let repo = api.model(base.to_string_lossy().into_owned()); + let prefix = subfolder.map(|s| format!("{s}/")).unwrap_or_default(); + resolve_hub(&repo, &prefix) + .with_context(|| format!("could not load '{}' from HuggingFace Hub", base.display()))? }; - // Load the tokenizer - let tokenizer = Tokenizer::from_file(&tok_path).map_err(|e| anyhow!("failed to load tokenizer: {e}"))?; + let tokenizer = + Tokenizer::from_file(&tok_path).map_err(|e| anyhow!("failed to load tokenizer: {e}"))?; - // Median-token-length hack for pre-truncation - let mut lens: Vec = tokenizer.get_vocab(false).keys().map(|tk| tk.len()).collect(); + let mut lens: Vec = + tokenizer.get_vocab(false).keys().map(|tk| tk.len()).collect(); lens.sort_unstable(); let median_token_length = lens.get(lens.len() / 2).copied().unwrap_or(1); - // Read normalize default: config file first, then modules.json, then true. - // Pass the explicitly downloaded modules path for Hub models; local models derive it. let normalize = normalize.unwrap_or_else(|| read_normalize(&cfg_path, mod_path.as_deref())); - // Serialize the tokenizer to JSON, then parse it and get the unk_token let spec_json = tokenizer .to_string(false) .map_err(|e| anyhow!("tokenizer -> JSON failed: {e}"))?; @@ -299,25 +310,26 @@ impl StaticModel { // If the unk token isn't in the vocabulary, treat it as absent rather than erroring. let unk_token_id = tokenizer.token_to_id(unk_token).map(|id| id as usize); - // Load the safetensors let model_bytes = fs::read(&mdl_path).context("failed to read model.safetensors")?; - let safet = SafeTensors::deserialize(&model_bytes).context("failed to parse safetensors")?; + let safet = + SafeTensors::deserialize(&model_bytes).context("failed to parse safetensors")?; // Try the layout-specific key first, then all known fallback keys. + let emb_key = layout.embedding_key(); let tensor = safet - .tensor(embedding_key) + .tensor(emb_key) .or_else(|_| safet.tensor("embeddings")) .or_else(|_| safet.tensor("embedding.weight")) .or_else(|_| safet.tensor("0")) .with_context(|| { - format!("embedding tensor not found (tried '{embedding_key}', 'embeddings', 'embedding.weight', '0')") + format!( + "embedding tensor not found (tried '{emb_key}', 'embeddings', 'embedding.weight', '0')" + ) })?; - let [rows, cols]: [usize; 2] = tensor.shape().try_into().context("embedding tensor is not 2‑D")?; + let [rows, cols]: [usize; 2] = + tensor.shape().try_into().context("embedding tensor is not 2‑D")?; let raw = tensor.data(); - let dtype = tensor.dtype(); - - // Decode into f32 - let floats: Vec = match dtype { + let floats: Vec = match tensor.dtype() { Dtype::F32 => raw .chunks_exact(4) .map(|b| f32::from_le_bytes(b.try_into().unwrap())) @@ -329,9 +341,9 @@ impl StaticModel { Dtype::I8 => raw.iter().map(|&b| f32::from(b as i8)).collect(), other => return Err(anyhow!("unsupported tensor dtype: {other:?}")), }; - let embeddings = Array2::from_shape_vec((rows, cols), floats).context("failed to build embeddings array")?; + let embeddings = + Array2::from_shape_vec((rows, cols), floats).context("failed to build embeddings array")?; - // Load optional weights for vocabulary quantization let weights = match safet.tensor("weights") { Ok(t) => { let raw = t.data(); @@ -355,7 +367,6 @@ impl StaticModel { Err(_) => None, }; - // Load optional token mapping for vocabulary quantization let token_mapping = match safet.tensor("mapping") { Ok(t) => { let raw = t.data(); @@ -379,7 +390,7 @@ impl StaticModel { }) } - /// Char-level truncation to max_tokens * median_token_length + /// Char-level truncation to max_tokens × median_token_length fn truncate_str(s: &str, max_tokens: usize, median_len: usize) -> &str { let max_chars = max_tokens.saturating_mul(median_len); match s.char_indices().nth(max_chars) { @@ -401,10 +412,7 @@ impl StaticModel { batch_size: usize, ) -> Vec> { let mut embeddings = Vec::with_capacity(sentences.len()); - - // Process in batches for batch in sentences.chunks(batch_size) { - // Truncate each sentence to max_length * median_token_length chars let truncated: Vec<&str> = batch .iter() .map(|text| { @@ -413,32 +421,24 @@ impl StaticModel { .unwrap_or(text.as_str()) }) .collect(); - - // Tokenize the batch let encodings = self .tokenizer .encode_batch_fast::( - // Into truncated.into_iter().map(Into::into).collect(), /* add_special_tokens = */ false, ) .expect("tokenization failed"); - - // Pool each token-ID list into a single mean vector for encoding in encodings { let mut token_ids = encoding.get_ids().to_vec(); - // Remove unk tokens if specified if let Some(unk_id) = self.unk_token_id { token_ids.retain(|&id| id as usize != unk_id); } - // Truncate to max_length if specified if let Some(max_tok) = max_length { token_ids.truncate(max_tok); } embeddings.push(self.pool_ids(token_ids)); } } - embeddings } @@ -447,7 +447,7 @@ impl StaticModel { self.encode_with_args(sentences, Some(512), 1024) } - // / Encode a single sentence into a vector + /// Encode a single sentence into a vector. pub fn encode_single(&self, sentence: &str) -> Vec { self.encode(&[sentence.to_string()]) .into_iter() @@ -455,43 +455,35 @@ impl StaticModel { .unwrap_or_default() } - /// Mean-pool a single token-ID list into a vector + /// Mean-pool a token-ID list into a single vector. fn pool_ids(&self, ids: Vec) -> Vec { let dim = self.embeddings.ncols(); - let mut sum = vec![0.0; dim]; + let mut sum = vec![0.0_f32; dim]; let mut cnt = 0usize; - for &id in &ids { let tok = id as usize; - - // Remap: row = token_mapping[id] or id - let row_idx = if let Some(m) = &self.token_mapping { - *m.get(tok).unwrap_or(&tok) - } else { - tok - }; - - // Scale by per-token weight if present - let scale = if let Some(w) = &self.weights { - *w.get(tok).unwrap_or(&1.0) - } else { - 1.0 - }; - + let row_idx = self + .token_mapping + .as_ref() + .and_then(|m| m.get(tok)) + .copied() + .unwrap_or(tok); + let scale = self + .weights + .as_ref() + .and_then(|w| w.get(tok)) + .copied() + .unwrap_or(1.0); let row = self.embeddings.row(row_idx); - for (i, &v) in row.iter().enumerate() { - sum[i] += v * scale; + for (s, &v) in sum.iter_mut().zip(row.iter()) { + *s += v * scale; } cnt += 1; } - - // Mean pool the embeddings - let denom = (cnt.max(1)) as f32; + let denom = cnt.max(1) as f32; for x in &mut sum { *x /= denom; } - - // Normalize the embeddings if required if self.normalize { let norm = sum.iter().map(|&v| v * v).sum::().sqrt().max(1e-12); for x in &mut sum { @@ -507,22 +499,15 @@ mod tests { use super::parent_of_prefix; #[test] - fn test_parent_of_prefix_root_subfolder() { - assert_eq!(parent_of_prefix("0_StaticEmbedding/"), ""); - } - - #[test] - fn test_parent_of_prefix_nested() { - assert_eq!(parent_of_prefix("some/path/0_StaticEmbedding/"), "some/path/"); - } - - #[test] - fn test_parent_of_prefix_single_level() { - assert_eq!(parent_of_prefix("models/"), ""); - } - - #[test] - fn test_parent_of_prefix_two_levels() { - assert_eq!(parent_of_prefix("a/b/"), "a/"); + fn test_parent_of_prefix() { + let cases = [ + ("0_StaticEmbedding/", ""), + ("some/path/0_StaticEmbedding/", "some/path/"), + ("models/", ""), + ("a/b/", "a/"), + ]; + for (prefix, expected) in cases { + assert_eq!(parent_of_prefix(prefix), expected, "parent_of_prefix({prefix:?})"); + } } } diff --git a/tests/common.rs b/tests/common.rs index 38c1983..709e507 100644 --- a/tests/common.rs +++ b/tests/common.rs @@ -1,34 +1,87 @@ #![allow(dead_code)] use model2vec_rs::model::StaticModel; +use std::fs; +use tempfile::TempDir; /// Load the small float32 test model from fixtures pub fn load_test_model() -> StaticModel { - StaticModel::from_pretrained( - "tests/fixtures/test-model-float32", - None, // token - None, // normalize - None, // subfolder - ) - .expect("Failed to load test model") + assert_loads("tests/fixtures/test-model-float32", None) } /// Load the vocab quantized test model from fixtures pub fn load_test_model_vocab_quantized() -> StaticModel { - StaticModel::from_pretrained( - "tests/fixtures/test-model-vocab-quantized", - None, // token - None, // normalize - None, // subfolder - ) - .expect("Failed to load test model") + assert_loads("tests/fixtures/test-model-vocab-quantized", None) } -pub fn encode_with_model(path: &str) -> Vec { - // Helper function to load the model and encode "hello world" - let model = StaticModel::from_pretrained(path, None, None, None) - .unwrap_or_else(|e| panic!("Failed to load model at {path}: {e}")); +/// Load a model from `path` with an optional `subfolder`, panicking on failure. +pub fn assert_loads(path: &str, subfolder: Option<&str>) -> StaticModel { + StaticModel::from_pretrained(path, None, None, subfolder) + .unwrap_or_else(|e| panic!("failed to load model at {path}: {e}")) +} +/// Encode `text` with a model loaded from `path`/`subfolder`, return the embedding. +pub fn encode_with_model(path: &str) -> Vec { + let model = assert_loads(path, None); let out = model.encode(&["hello world".to_string()]); assert_eq!(out.len(), 1); out.into_iter().next().unwrap() } + +/// L2 norm of `model.encode(&[text])`. +pub fn embedding_norm(model: &StaticModel, text: &str) -> f32 { + let emb = model.encode(&[text.to_string()]); + emb[0].iter().map(|&x| x * x).sum::().sqrt() +} + +// --------------------------------------------------------------------------- +// Temp-dir fixture builders +// --------------------------------------------------------------------------- + +const ST_CONFIG: &str = r#"{"normalize": true}"#; +const PLAIN_CONFIG: &str = r#"{"model_type":"model2vec","normalize":true,"hidden_dim":64}"#; + +/// Resolve a source file from the sentence-transformers fixture. +fn st_src(file: &str) -> String { + format!("tests/fixtures/test-model-sentence-transformers/{file}") +} + +/// Copy the two binary blobs (model + tokenizer) from the ST fixture into `dir`. +fn copy_st_blobs(dir: &std::path::Path) { + for file in ["model.safetensors", "tokenizer.json"] { + fs::copy(st_src(file), dir.join(file)).expect("copy fixture blob"); + } +} + +/// Build a temp dir that looks like a sentence-transformers root layout, +/// using `modules_json` as the content of `modules.json` (pass `None` to omit). +pub fn temp_st_dir(modules_json: Option<&str>) -> TempDir { + let dir = tempfile::tempdir().expect("tempdir"); + copy_st_blobs(dir.path()); + fs::write(dir.path().join("config_sentence_transformers.json"), ST_CONFIG) + .expect("write ST config"); + if let Some(content) = modules_json { + fs::write(dir.path().join("modules.json"), content).expect("write modules.json"); + } + dir +} + +/// Build a temp dir that has BOTH `config.json` and `config_sentence_transformers.json`. +pub fn temp_both_configs_dir() -> TempDir { + let dir = temp_st_dir(None); + fs::write(dir.path().join("config.json"), PLAIN_CONFIG).expect("write config.json"); + dir +} + +/// Build a temp dir with a nested `some/path/0_StaticEmbedding/` layout: +/// - `some/path/config_sentence_transformers.json` +/// - `some/path/0_StaticEmbedding/{model.safetensors,tokenizer.json}` +pub fn temp_nested_st_dir() -> TempDir { + let dir = tempfile::tempdir().expect("tempdir"); + let base = dir.path().join("some/path"); + let emb_dir = base.join("0_StaticEmbedding"); + fs::create_dir_all(&emb_dir).expect("create nested dir"); + copy_st_blobs(&emb_dir); + fs::write(base.join("config_sentence_transformers.json"), ST_CONFIG) + .expect("write nested ST config"); + dir +} diff --git a/tests/fixtures/test-model-both-configs/config.json b/tests/fixtures/test-model-both-configs/config.json deleted file mode 100644 index eeed2b5..0000000 --- a/tests/fixtures/test-model-both-configs/config.json +++ /dev/null @@ -1 +0,0 @@ -{"some": "field"} \ No newline at end of file diff --git a/tests/fixtures/test-model-both-configs/config_sentence_transformers.json b/tests/fixtures/test-model-both-configs/config_sentence_transformers.json deleted file mode 100644 index b7249f7..0000000 --- a/tests/fixtures/test-model-both-configs/config_sentence_transformers.json +++ /dev/null @@ -1 +0,0 @@ -{"normalize": true} \ No newline at end of file diff --git a/tests/fixtures/test-model-both-configs/model.safetensors b/tests/fixtures/test-model-both-configs/model.safetensors deleted file mode 100644 index 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b/tests/fixtures/test-nested-static-embedding/some/path/modules.json deleted file mode 100644 index 7289584..0000000 --- a/tests/fixtures/test-nested-static-embedding/some/path/modules.json +++ /dev/null @@ -1 +0,0 @@ -[{"idx": 0, "name": "0", "path": ".", "type": "sentence_transformers.models.StaticEmbedding"}, {"idx": 1, "name": "1", "path": "1_Normalize", "type": "sentence_transformers.models.Normalize"}] \ No newline at end of file diff --git a/tests/test_model.rs b/tests/test_model.rs index 8945be0..060bcf1 100644 --- a/tests/test_model.rs +++ b/tests/test_model.rs @@ -1,5 +1,6 @@ mod common; -use common::load_test_model; +use common::{assert_loads, embedding_norm, load_test_model, temp_both_configs_dir, + temp_nested_st_dir, temp_st_dir}; use model2vec_rs::model::StaticModel; /// Test that encoding an empty input slice yields an empty output @@ -16,8 +17,7 @@ fn test_encode_empty_sentence() { let model = load_test_model(); let embs = model.encode(&["".to_string()]); assert_eq!(embs.len(), 1); - let vec = &embs[0]; - assert!(vec.iter().all(|&x| x == 0.0), "All entries should be zero"); + assert!(embs[0].iter().all(|&x| x == 0.0), "All entries should be zero"); } /// Test that encoding a single sentence returns the correct shape @@ -25,143 +25,54 @@ fn test_encode_empty_sentence() { fn test_encode_single() { let model = load_test_model(); let sentence = "hello world"; - - // Single-sentence helper → 1-D let one_d = model.encode_single(sentence); - - // Batch call with a 1-element slice → 2-D wrapper let two_d = model.encode(&[sentence.to_string()]); - - // Shape assertions assert!(!one_d.is_empty(), "encode_single must return a non-empty 1-D vector"); - assert_eq!( - two_d.len(), - 1, - "encode(&[..]) should wrap the result in a Vec with length 1" - ); - assert_eq!( - two_d[0].len(), - one_d.len(), - "inner vector dimensionality should match encode_single output" - ); -} - -/// Test loading a model in sentence-transformers root layout (config_sentence_transformers.json) -#[test] -fn test_load_sentence_transformers_layout() { - let model = StaticModel::from_pretrained( - "tests/fixtures/test-model-sentence-transformers", - None, - None, - None, - ) - .expect("should load sentence-transformers layout"); - let emb = model.encode(&["hello world".to_string()]); - assert_eq!(emb.len(), 1); - assert!(!emb[0].is_empty()); -} - -/// Test loading a model in 0_StaticEmbedding subfolder layout -#[test] -fn test_load_static_embedding_layout() { - let model = StaticModel::from_pretrained( - "tests/fixtures/test-model-static-embedding", - None, - None, - None, - ) - .expect("should load 0_StaticEmbedding layout"); - let emb = model.encode(&["hello world".to_string()]); - assert_eq!(emb.len(), 1); - assert!(!emb[0].is_empty()); -} - -/// Fix 1: subfolder pointing directly at the 0_StaticEmbedding directory -/// Config lives one level up; loader should still succeed. -#[test] -fn test_load_static_embedding_via_subfolder() { - // repo_or_path = parent, subfolder = "0_StaticEmbedding" - let model = StaticModel::from_pretrained( - "tests/fixtures/test-model-static-embedding", - None, - None, - Some("0_StaticEmbedding"), - ) - .expect("should load when subfolder='0_StaticEmbedding'"); - assert!(!model.encode(&["hello".to_string()])[0].is_empty()); - - // repo_or_path points directly at the subfolder - let model2 = StaticModel::from_pretrained( - "tests/fixtures/test-model-static-embedding/0_StaticEmbedding", - None, - None, - None, - ) - .expect("should load when path points directly at 0_StaticEmbedding"); - assert!(!model2.encode(&["hello".to_string()])[0].is_empty()); -} - -/// Fix 2: both config.json and config_sentence_transformers.json present — ST wins -/// (embedding.weight key must be found even though config.json is also on disk). -#[test] -fn test_load_both_configs_prefers_sentence_transformers() { - let model = StaticModel::from_pretrained( - "tests/fixtures/test-model-both-configs", - None, - None, - None, - ) - .expect("should load when both config files are present"); - assert!(!model.encode(&["hello".to_string()])[0].is_empty()); -} - -/// Fix 3a: no normalize key in config, but modules.json has a Normalize stage → normalize=true -#[test] -fn test_normalize_from_modules_json_true() { - let model = StaticModel::from_pretrained( - "tests/fixtures/test-model-modules-normalize", - None, - None, - None, - ) - .unwrap(); - let emb = model.encode(&["hello world".to_string()])[0].clone(); - let norm: f32 = emb.iter().map(|&x| x * x).sum::().sqrt(); - assert!((norm - 1.0).abs() < 1e-5, "expected unit norm, got {norm}"); + assert_eq!(two_d.len(), 1); + assert_eq!(two_d[0].len(), one_d.len()); } -/// Fix 3b: no normalize key in config, modules.json has NO Normalize stage → normalize=false +/// All supported model layouts should load and produce non-empty embeddings #[test] -fn test_normalize_from_modules_json_false() { - let model_no_norm = StaticModel::from_pretrained( - "tests/fixtures/test-model-modules-no-normalize", - None, - None, - None, - ) - .unwrap(); - let emb_no = model_no_norm.encode(&["hello world".to_string()])[0].clone(); - let norm_no: f32 = emb_no.iter().map(|&x| x * x).sum::().sqrt(); - - let model_norm = StaticModel::from_pretrained( - "tests/fixtures/test-model-modules-normalize", - None, - None, - None, - ) - .unwrap(); - let emb_norm = model_norm.encode(&["hello world".to_string()])[0].clone(); - let norm_norm: f32 = emb_norm.iter().map(|&x| x * x).sum::().sqrt(); - - assert!((norm_norm - 1.0).abs() < 1e-5, "normalized model should have unit norm"); - assert!(norm_no > norm_norm, "un-normalized model should have larger norm"); +fn test_all_layouts_load() { + let both = temp_both_configs_dir(); + let nested = temp_nested_st_dir(); + + let cases: &[(&str, Option<&str>)] = &[ + // Native model2vec + ("tests/fixtures/test-model-float32", None), + // Sentence-transformers root layout + ("tests/fixtures/test-model-sentence-transformers", None), + // 0_StaticEmbedding subfolder (auto-detected) + ("tests/fixtures/test-model-static-embedding", None), + // 0_StaticEmbedding via explicit subfolder arg + ("tests/fixtures/test-model-static-embedding", Some("0_StaticEmbedding")), + // Direct path into 0_StaticEmbedding + ("tests/fixtures/test-model-static-embedding/0_StaticEmbedding", None), + // Both configs present — ST should win + (both.path().to_str().unwrap(), None), + // Nested subfolder path + (nested.path().to_str().unwrap(), Some("some/path/0_StaticEmbedding")), + // Direct path into nested 0_StaticEmbedding + ( + &format!("{}/some/path/0_StaticEmbedding", nested.path().display()), + None, + ), + ]; + + for &(path, subfolder) in cases { + let model = assert_loads(path, subfolder); + let emb = model.encode(&["hello".to_string()]); + assert!(!emb[0].is_empty(), "empty embedding for path={path:?} subfolder={subfolder:?}"); + } } -/// Sentence-transformers and model2vec layouts with the same weights should give identical embeddings +/// ST and native model2vec layouts with the same weights should give identical embeddings #[test] fn test_sentence_transformers_matches_model2vec() { let model_m2v = - StaticModel::from_pretrained("tests/fixtures/test-model-float32", None, None, None).unwrap(); + StaticModel::from_pretrained("tests/fixtures/test-model-float32", None, None, None) + .unwrap(); let model_st = StaticModel::from_pretrained( "tests/fixtures/test-model-sentence-transformers", None, @@ -170,42 +81,77 @@ fn test_sentence_transformers_matches_model2vec() { ) .unwrap(); let sentences = vec!["hello".to_string(), "world test sentence".to_string()]; - let emb_m2v = model_m2v.encode(&sentences); - let emb_st = model_st.encode(&sentences); - for (a, b) in emb_m2v.iter().zip(emb_st.iter()) { + for (a, b) in model_m2v.encode(&sentences).iter().zip(model_st.encode(&sentences).iter()) { for (&x, &y) in a.iter().zip(b.iter()) { assert!((x - y).abs() < 1e-5, "embeddings should match: {x} vs {y}"); } } } -/// Fix: nested subfolder — config lives in `some/path/`, model files in `some/path/0_StaticEmbedding/`. -/// Both `subfolder = "some/path/0_StaticEmbedding"` and a direct path into the embedding dir -/// must load successfully, mirroring what the Hub branch now does via parent_of_prefix(). +/// modules.json Normalize stage controls normalization when config lacks the key #[test] -fn test_load_nested_static_embedding_subfolder() { - // repo_or_path = root, subfolder points to the nested embedding dir - let model = StaticModel::from_pretrained( - "tests/fixtures/test-nested-static-embedding", - None, - None, - Some("some/path/0_StaticEmbedding"), +fn test_normalize_from_modules_json() { + const WITH_NORMALIZE: &str = r#"[ + {"idx":0,"name":"0","path":".","type":"sentence_transformers.models.StaticEmbedding"}, + {"idx":1,"name":"1","path":"1_Normalize","type":"sentence_transformers.models.Normalize"} + ]"#; + const WITHOUT_NORMALIZE: &str = r#"[ + {"idx":0,"name":"0","path":".","type":"sentence_transformers.models.StaticEmbedding"} + ]"#; + + // config_sentence_transformers.json has no "normalize" key here — use a bare ST dir + // and inject modules.json manually. + let dir_norm = temp_st_dir(Some(WITH_NORMALIZE)); + let dir_no_norm = temp_st_dir(Some(WITHOUT_NORMALIZE)); + + // For a model whose config_sentence_transformers.json has normalize=true already, + // we need configs without a normalize key. Write a fresh one. + let no_key_config = r#"{"model_type":"model2vec"}"#; + std::fs::write( + dir_norm.path().join("config_sentence_transformers.json"), + no_key_config, ) - .expect("should load with nested subfolder='some/path/0_StaticEmbedding'"); - assert!(!model.encode(&["hello".to_string()])[0].is_empty()); - - // Direct path into the nested embedding dir (no subfolder arg) - let model2 = StaticModel::from_pretrained( - "tests/fixtures/test-nested-static-embedding/some/path/0_StaticEmbedding", - None, - None, - None, + .unwrap(); + std::fs::write( + dir_no_norm.path().join("config_sentence_transformers.json"), + no_key_config, ) - .expect("should load when path points directly at nested 0_StaticEmbedding"); - assert!(!model2.encode(&["hello".to_string()])[0].is_empty()); + .unwrap(); + + let model_norm = assert_loads(dir_norm.path().to_str().unwrap(), None); + let model_no_norm = assert_loads(dir_no_norm.path().to_str().unwrap(), None); + + let norm_normalized = embedding_norm(&model_norm, "hello world"); + let norm_unnormalized = embedding_norm(&model_no_norm, "hello world"); + + assert!( + (norm_normalized - 1.0).abs() < 1e-5, + "normalized model should have unit norm, got {norm_normalized}" + ); + assert!( + norm_unnormalized > norm_normalized, + "un-normalized model should have larger norm" + ); +} + +/// Override of the `normalize` flag in from_pretrained works correctly +#[test] +fn test_normalization_flag_override() { + let model_norm = + StaticModel::from_pretrained("tests/fixtures/test-model-float32", None, None, None) + .unwrap(); + let model_no_norm = + StaticModel::from_pretrained("tests/fixtures/test-model-float32", None, Some(false), None) + .unwrap(); + + let norm_norm = embedding_norm(&model_norm, "test sentence"); + let norm_no = embedding_norm(&model_no_norm, "test sentence"); + + assert!((norm_norm - 1.0).abs() < 1e-5, "normalized vector should have unit norm"); + assert!(norm_no > norm_norm, "without normalization override, norm should be larger"); } -/// Test that a path missing all known layouts gives a helpful error +/// A path that matches no known layout returns a helpful error #[test] fn test_load_invalid_path_error() { let result = StaticModel::from_pretrained("tests/fixtures", None, None, None); @@ -213,28 +159,3 @@ fn test_load_invalid_path_error() { let msg = result.unwrap_err().to_string(); assert!(msg.contains("no valid model layout"), "error should mention layout: {msg}"); } - -/// Test override of `normalize` flag in from_pretrained -#[test] -fn test_normalization_flag_override() { - // Load with normalize = true (default in config) - let model_norm = StaticModel::from_pretrained("tests/fixtures/test-model-float32", None, None, None).unwrap(); - let emb_norm = model_norm.encode(&["test sentence".to_string()])[0].clone(); - let norm_norm = emb_norm.iter().map(|&x| x * x).sum::().sqrt(); - - // Load with normalize = false override - let model_no_norm = - StaticModel::from_pretrained("tests/fixtures/test-model-float32", None, Some(false), None).unwrap(); - let emb_no = model_no_norm.encode(&["test sentence".to_string()])[0].clone(); - let norm_no = emb_no.iter().map(|&x| x * x).sum::().sqrt(); - - // Normalized version should have unit length, override should give larger norm - assert!( - (norm_norm - 1.0).abs() < 1e-5, - "Normalized vector should have unit norm" - ); - assert!( - norm_no > norm_norm, - "Without normalization override, norm should be larger" - ); -} From 1570b25a4544afae0d75508cfe81be289cd655a7 Mon Sep 17 00:00:00 2001 From: Pringled Date: Fri, 13 Mar 2026 11:41:05 +0100 Subject: [PATCH 05/16] Update tests --- tests/common.rs | 13 ++++++++++--- tests/test_model.rs | 15 +++++++++++++++ 2 files changed, 25 insertions(+), 3 deletions(-) diff --git a/tests/common.rs b/tests/common.rs index 709e507..50b808b 100644 --- a/tests/common.rs +++ b/tests/common.rs @@ -65,10 +65,17 @@ pub fn temp_st_dir(modules_json: Option<&str>) -> TempDir { dir } -/// Build a temp dir that has BOTH `config.json` and `config_sentence_transformers.json`. +/// Build a temp dir that has BOTH `config.json` and `config_sentence_transformers.json` +/// with **conflicting** normalize values: +/// - `config.json` → `normalize: false` (native layout would give unnormalized output) +/// - `config_sentence_transformers.json` → `normalize: true` (ST layout gives unit norm) +/// +/// This lets callers prove which config was actually used. pub fn temp_both_configs_dir() -> TempDir { - let dir = temp_st_dir(None); - fs::write(dir.path().join("config.json"), PLAIN_CONFIG).expect("write config.json"); + let dir = temp_st_dir(None); // writes config_sentence_transformers.json with normalize=true + // Intentionally different normalize value so a test can detect which config won. + let native_config = r#"{"model_type":"model2vec","normalize":false,"hidden_dim":64}"#; + fs::write(dir.path().join("config.json"), native_config).expect("write config.json"); dir } diff --git a/tests/test_model.rs b/tests/test_model.rs index 060bcf1..5307395 100644 --- a/tests/test_model.rs +++ b/tests/test_model.rs @@ -67,6 +67,21 @@ fn test_all_layouts_load() { } } +/// When both config.json (normalize=false) and config_sentence_transformers.json (normalize=true) +/// are present, the sentence-transformers layout must win. +/// A regression back to "native wins" would produce an unnormalized embedding and fail here. +#[test] +fn test_both_configs_prefers_sentence_transformers() { + let dir = temp_both_configs_dir(); + let model = assert_loads(dir.path().to_str().unwrap(), None); + let norm = embedding_norm(&model, "hello world"); + assert!( + (norm - 1.0).abs() < 1e-5, + "expected unit norm (ST config wins), got {norm} — \ + loader may be preferring config.json (native) over config_sentence_transformers.json" + ); +} + /// ST and native model2vec layouts with the same weights should give identical embeddings #[test] fn test_sentence_transformers_matches_model2vec() { From dc79154601a9e1975aca3b2f86dbf634ef8ae28a Mon Sep 17 00:00:00 2001 From: Pringled Date: Fri, 13 Mar 2026 11:42:43 +0100 Subject: [PATCH 06/16] Changed unk token logic --- src/model.rs | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/src/model.rs b/src/model.rs index 1de16f9..a96471b 100644 --- a/src/model.rs +++ b/src/model.rs @@ -302,13 +302,13 @@ impl StaticModel { .to_string(false) .map_err(|e| anyhow!("tokenizer -> JSON failed: {e}"))?; let spec: Value = serde_json::from_str(&spec_json)?; - let unk_token = spec + // If no unk token is defined, don't filter anything. + // If one is defined but absent from the vocab, fall back to id 0. + let unk_token_id = spec .get("model") .and_then(|m| m.get("unk_token")) .and_then(Value::as_str) - .unwrap_or("[UNK]"); - // If the unk token isn't in the vocabulary, treat it as absent rather than erroring. - let unk_token_id = tokenizer.token_to_id(unk_token).map(|id| id as usize); + .map(|unk| tokenizer.token_to_id(unk).map(|id| id as usize).unwrap_or(0)); let model_bytes = fs::read(&mdl_path).context("failed to read model.safetensors")?; let safet = From ab4c7f4175faa22b50303625be802914ccfd2f07 Mon Sep 17 00:00:00 2001 From: Pringled Date: Fri, 13 Mar 2026 11:51:51 +0100 Subject: [PATCH 07/16] Cleaning up code --- src/model.rs | 95 ++++++++++++--------------------------------- tests/common.rs | 22 +++-------- tests/test_model.rs | 67 +++++++++++++++----------------- 3 files changed, 61 insertions(+), 123 deletions(-) diff --git a/src/model.rs b/src/model.rs index a96471b..fe7dba5 100644 --- a/src/model.rs +++ b/src/model.rs @@ -4,19 +4,16 @@ use hf_hub::api::sync::{Api, ApiRepo}; use ndarray::Array2; use safetensors::{tensor::Dtype, SafeTensors}; use serde_json::Value; -use std::{env, fs, path::{Path, PathBuf}}; +use std::{ + env, fs, + path::{Path, PathBuf}, +}; use tokenizers::Tokenizer; -// --------------------------------------------------------------------------- -// Layout detection -// --------------------------------------------------------------------------- - /// Which embedding-tensor naming convention a model uses. #[derive(Debug, Clone, Copy)] enum ModelLayout { - /// Native model2vec export: tensor key `"embeddings"`. Native, - /// Sentence Transformers export: tensor key `"embedding.weight"`. SentenceTransformers, } @@ -29,35 +26,28 @@ impl ModelLayout { } } -/// Resolved file paths and layout for a detected model. struct ResolvedPaths { tokenizer_path: PathBuf, model_path: PathBuf, config_path: PathBuf, - /// Explicitly located `modules.json`; `None` for local paths (derived at read time). modules_path: Option, layout: ModelLayout, } -/// Static description of one supported model layout. -struct LayoutSpec { - /// Config file name, relative to the config base directory. +struct Layout { config_file: &'static str, - /// Tokenizer path, relative to the model base directory. tokenizer_file: &'static str, - /// Model weights path, relative to the model base directory. model_file: &'static str, - /// `true` if the config lives in the *parent* of the model directory (layout 4). + /// Config lives one level above the model files (layout 4: caller pointed at model dir). config_in_parent: bool, - /// Skip this layout when `config_sentence_transformers.json` coexists with the config - /// (prevents misidentifying an ST-exported model2vec model as native). + /// Skip when `config_sentence_transformers.json` is present alongside `config.json`. skip_if_st_config: bool, layout: ModelLayout, } -static LAYOUTS: &[LayoutSpec] = &[ +static LAYOUTS: &[Layout] = &[ // 1. Native model2vec - LayoutSpec { + Layout { config_file: "config.json", tokenizer_file: "tokenizer.json", model_file: "model.safetensors", @@ -66,7 +56,7 @@ static LAYOUTS: &[LayoutSpec] = &[ layout: ModelLayout::Native, }, // 2. Sentence Transformers root layout - LayoutSpec { + Layout { config_file: "config_sentence_transformers.json", tokenizer_file: "tokenizer.json", model_file: "model.safetensors", @@ -75,7 +65,7 @@ static LAYOUTS: &[LayoutSpec] = &[ layout: ModelLayout::SentenceTransformers, }, // 3. Sentence Transformers 0_StaticEmbedding subfolder - LayoutSpec { + Layout { config_file: "config_sentence_transformers.json", tokenizer_file: "0_StaticEmbedding/tokenizer.json", model_file: "0_StaticEmbedding/model.safetensors", @@ -84,7 +74,7 @@ static LAYOUTS: &[LayoutSpec] = &[ layout: ModelLayout::SentenceTransformers, }, // 4. Config-in-parent (caller passed subfolder pointing directly at model files) - LayoutSpec { + Layout { config_file: "config_sentence_transformers.json", tokenizer_file: "tokenizer.json", model_file: "model.safetensors", @@ -94,10 +84,13 @@ static LAYOUTS: &[LayoutSpec] = &[ }, ]; -/// Try each `LAYOUTS` entry against a local folder. fn resolve_local(folder: &Path) -> Option { for spec in LAYOUTS { - let config_base = if spec.config_in_parent { folder.parent()? } else { folder }; + let config_base = if spec.config_in_parent { + folder.parent()? + } else { + folder + }; let config_path = config_base.join(spec.config_file); if !config_path.exists() { continue; @@ -121,11 +114,6 @@ fn resolve_local(folder: &Path) -> Option { None } -/// Try each `LAYOUTS` entry against a HuggingFace Hub repo. -/// -/// Config files are fetched first; absent ones skip the layout. Model/tokenizer fetches -/// also silently skip on failure so that layouts 2 and 3 (which share the same config -/// file) can be tried independently without a second config download. fn resolve_hub(repo: &ApiRepo, prefix: &str) -> Result { for spec in LAYOUTS { let config_prefix: String = if spec.config_in_parent { @@ -160,18 +148,10 @@ fn resolve_hub(repo: &ApiRepo, prefix: &str) -> Result { } Err(anyhow!( "no valid model layout found. Tried config files: {}", - LAYOUTS - .iter() - .map(|s| s.config_file) - .collect::>() - .join(", ") + LAYOUTS.iter().map(|s| s.config_file).collect::>().join(", ") )) } -/// Strip the last path component from a Hub prefix (which always ends with `/`). -/// -/// * `"0_StaticEmbedding/"` → `""` -/// * `"some/path/0_StaticEmbedding/"` → `"some/path/"` fn parent_of_prefix(prefix: &str) -> String { let trimmed = prefix.trim_end_matches('/'); match Path::new(trimmed).parent() { @@ -180,19 +160,12 @@ fn parent_of_prefix(prefix: &str) -> String { } } -// --------------------------------------------------------------------------- -// Normalisation helpers -// --------------------------------------------------------------------------- - -/// Read the `normalize` boolean from a JSON config file, `None` if absent or unreadable. fn read_config_normalize(config_path: &Path) -> Option { let f = std::fs::File::open(config_path).ok()?; let cfg: Value = serde_json::from_reader(f).ok()?; cfg.get("normalize").and_then(Value::as_bool) } -/// Return whether `modules.json` contains a `Normalize` pipeline stage. -/// Returns `None` if the file cannot be read or parsed. fn has_normalize_module(modules_path: &Path) -> Option { let f = std::fs::File::open(modules_path).ok()?; let Value::Array(modules) = serde_json::from_reader::<_, Value>(f).ok()? else { @@ -207,11 +180,6 @@ fn has_normalize_module(modules_path: &Path) -> Option { })) } -/// Resolve the normalize flag: -/// 1. `normalize` key in the config file. -/// 2. Presence of a `Normalize` module in `modules.json` (sibling of config for local; -/// explicitly passed for Hub downloads so the already-fetched path is reused). -/// 3. Default `true`. fn read_normalize(config_path: &Path, explicit_modules: Option<&Path>) -> bool { if let Some(v) = read_config_normalize(config_path) { return v; @@ -288,11 +256,9 @@ impl StaticModel { .with_context(|| format!("could not load '{}' from HuggingFace Hub", base.display()))? }; - let tokenizer = - Tokenizer::from_file(&tok_path).map_err(|e| anyhow!("failed to load tokenizer: {e}"))?; + let tokenizer = Tokenizer::from_file(&tok_path).map_err(|e| anyhow!("failed to load tokenizer: {e}"))?; - let mut lens: Vec = - tokenizer.get_vocab(false).keys().map(|tk| tk.len()).collect(); + let mut lens: Vec = tokenizer.get_vocab(false).keys().map(|tk| tk.len()).collect(); lens.sort_unstable(); let median_token_length = lens.get(lens.len() / 2).copied().unwrap_or(1); @@ -311,9 +277,7 @@ impl StaticModel { .map(|unk| tokenizer.token_to_id(unk).map(|id| id as usize).unwrap_or(0)); let model_bytes = fs::read(&mdl_path).context("failed to read model.safetensors")?; - let safet = - SafeTensors::deserialize(&model_bytes).context("failed to parse safetensors")?; - // Try the layout-specific key first, then all known fallback keys. + let safet = SafeTensors::deserialize(&model_bytes).context("failed to parse safetensors")?; let emb_key = layout.embedding_key(); let tensor = safet .tensor(emb_key) @@ -321,13 +285,10 @@ impl StaticModel { .or_else(|_| safet.tensor("embedding.weight")) .or_else(|_| safet.tensor("0")) .with_context(|| { - format!( - "embedding tensor not found (tried '{emb_key}', 'embeddings', 'embedding.weight', '0')" - ) + format!("embedding tensor not found (tried '{emb_key}', 'embeddings', 'embedding.weight', '0')") })?; - let [rows, cols]: [usize; 2] = - tensor.shape().try_into().context("embedding tensor is not 2‑D")?; + let [rows, cols]: [usize; 2] = tensor.shape().try_into().context("embedding tensor is not 2-D")?; let raw = tensor.data(); let floats: Vec = match tensor.dtype() { Dtype::F32 => raw @@ -341,8 +302,7 @@ impl StaticModel { Dtype::I8 => raw.iter().map(|&b| f32::from(b as i8)).collect(), other => return Err(anyhow!("unsupported tensor dtype: {other:?}")), }; - let embeddings = - Array2::from_shape_vec((rows, cols), floats).context("failed to build embeddings array")?; + let embeddings = Array2::from_shape_vec((rows, cols), floats).context("failed to build embeddings array")?; let weights = match safet.tensor("weights") { Ok(t) => { @@ -468,12 +428,7 @@ impl StaticModel { .and_then(|m| m.get(tok)) .copied() .unwrap_or(tok); - let scale = self - .weights - .as_ref() - .and_then(|w| w.get(tok)) - .copied() - .unwrap_or(1.0); + let scale = self.weights.as_ref().and_then(|w| w.get(tok)).copied().unwrap_or(1.0); let row = self.embeddings.row(row_idx); for (s, &v) in sum.iter_mut().zip(row.iter()) { *s += v * scale; diff --git a/tests/common.rs b/tests/common.rs index 50b808b..6524c4b 100644 --- a/tests/common.rs +++ b/tests/common.rs @@ -52,43 +52,31 @@ fn copy_st_blobs(dir: &std::path::Path) { } } -/// Build a temp dir that looks like a sentence-transformers root layout, -/// using `modules_json` as the content of `modules.json` (pass `None` to omit). pub fn temp_st_dir(modules_json: Option<&str>) -> TempDir { let dir = tempfile::tempdir().expect("tempdir"); copy_st_blobs(dir.path()); - fs::write(dir.path().join("config_sentence_transformers.json"), ST_CONFIG) - .expect("write ST config"); + fs::write(dir.path().join("config_sentence_transformers.json"), ST_CONFIG).expect("write ST config"); if let Some(content) = modules_json { fs::write(dir.path().join("modules.json"), content).expect("write modules.json"); } dir } -/// Build a temp dir that has BOTH `config.json` and `config_sentence_transformers.json` -/// with **conflicting** normalize values: -/// - `config.json` → `normalize: false` (native layout would give unnormalized output) -/// - `config_sentence_transformers.json` → `normalize: true` (ST layout gives unit norm) -/// -/// This lets callers prove which config was actually used. +/// Temp dir with both configs present. `config.json` has `normalize: false`, +/// `config_sentence_transformers.json` has `normalize: true`, so tests can detect which won. pub fn temp_both_configs_dir() -> TempDir { - let dir = temp_st_dir(None); // writes config_sentence_transformers.json with normalize=true - // Intentionally different normalize value so a test can detect which config won. + let dir = temp_st_dir(None); let native_config = r#"{"model_type":"model2vec","normalize":false,"hidden_dim":64}"#; fs::write(dir.path().join("config.json"), native_config).expect("write config.json"); dir } -/// Build a temp dir with a nested `some/path/0_StaticEmbedding/` layout: -/// - `some/path/config_sentence_transformers.json` -/// - `some/path/0_StaticEmbedding/{model.safetensors,tokenizer.json}` pub fn temp_nested_st_dir() -> TempDir { let dir = tempfile::tempdir().expect("tempdir"); let base = dir.path().join("some/path"); let emb_dir = base.join("0_StaticEmbedding"); fs::create_dir_all(&emb_dir).expect("create nested dir"); copy_st_blobs(&emb_dir); - fs::write(base.join("config_sentence_transformers.json"), ST_CONFIG) - .expect("write nested ST config"); + fs::write(base.join("config_sentence_transformers.json"), ST_CONFIG).expect("write nested ST config"); dir } diff --git a/tests/test_model.rs b/tests/test_model.rs index 5307395..502051d 100644 --- a/tests/test_model.rs +++ b/tests/test_model.rs @@ -1,6 +1,5 @@ mod common; -use common::{assert_loads, embedding_norm, load_test_model, temp_both_configs_dir, - temp_nested_st_dir, temp_st_dir}; +use common::{assert_loads, embedding_norm, load_test_model, temp_both_configs_dir, temp_nested_st_dir, temp_st_dir}; use model2vec_rs::model::StaticModel; /// Test that encoding an empty input slice yields an empty output @@ -63,13 +62,14 @@ fn test_all_layouts_load() { for &(path, subfolder) in cases { let model = assert_loads(path, subfolder); let emb = model.encode(&["hello".to_string()]); - assert!(!emb[0].is_empty(), "empty embedding for path={path:?} subfolder={subfolder:?}"); + assert!( + !emb[0].is_empty(), + "empty embedding for path={path:?} subfolder={subfolder:?}" + ); } } -/// When both config.json (normalize=false) and config_sentence_transformers.json (normalize=true) -/// are present, the sentence-transformers layout must win. -/// A regression back to "native wins" would produce an unnormalized embedding and fail here. +/// config_sentence_transformers.json (normalize=true) must win over config.json (normalize=false). #[test] fn test_both_configs_prefers_sentence_transformers() { let dir = temp_both_configs_dir(); @@ -77,26 +77,22 @@ fn test_both_configs_prefers_sentence_transformers() { let norm = embedding_norm(&model, "hello world"); assert!( (norm - 1.0).abs() < 1e-5, - "expected unit norm (ST config wins), got {norm} — \ - loader may be preferring config.json (native) over config_sentence_transformers.json" + "expected unit norm (ST config wins), got {norm}" ); } /// ST and native model2vec layouts with the same weights should give identical embeddings #[test] fn test_sentence_transformers_matches_model2vec() { - let model_m2v = - StaticModel::from_pretrained("tests/fixtures/test-model-float32", None, None, None) - .unwrap(); - let model_st = StaticModel::from_pretrained( - "tests/fixtures/test-model-sentence-transformers", - None, - None, - None, - ) - .unwrap(); + let model_m2v = StaticModel::from_pretrained("tests/fixtures/test-model-float32", None, None, None).unwrap(); + let model_st = + StaticModel::from_pretrained("tests/fixtures/test-model-sentence-transformers", None, None, None).unwrap(); let sentences = vec!["hello".to_string(), "world test sentence".to_string()]; - for (a, b) in model_m2v.encode(&sentences).iter().zip(model_st.encode(&sentences).iter()) { + for (a, b) in model_m2v + .encode(&sentences) + .iter() + .zip(model_st.encode(&sentences).iter()) + { for (&x, &y) in a.iter().zip(b.iter()) { assert!((x - y).abs() < 1e-5, "embeddings should match: {x} vs {y}"); } @@ -114,19 +110,12 @@ fn test_normalize_from_modules_json() { {"idx":0,"name":"0","path":".","type":"sentence_transformers.models.StaticEmbedding"} ]"#; - // config_sentence_transformers.json has no "normalize" key here — use a bare ST dir - // and inject modules.json manually. let dir_norm = temp_st_dir(Some(WITH_NORMALIZE)); let dir_no_norm = temp_st_dir(Some(WITHOUT_NORMALIZE)); - // For a model whose config_sentence_transformers.json has normalize=true already, - // we need configs without a normalize key. Write a fresh one. + // Overwrite with a config that has no "normalize" key so modules.json is the source of truth. let no_key_config = r#"{"model_type":"model2vec"}"#; - std::fs::write( - dir_norm.path().join("config_sentence_transformers.json"), - no_key_config, - ) - .unwrap(); + std::fs::write(dir_norm.path().join("config_sentence_transformers.json"), no_key_config).unwrap(); std::fs::write( dir_no_norm.path().join("config_sentence_transformers.json"), no_key_config, @@ -152,18 +141,21 @@ fn test_normalize_from_modules_json() { /// Override of the `normalize` flag in from_pretrained works correctly #[test] fn test_normalization_flag_override() { - let model_norm = - StaticModel::from_pretrained("tests/fixtures/test-model-float32", None, None, None) - .unwrap(); + let model_norm = StaticModel::from_pretrained("tests/fixtures/test-model-float32", None, None, None).unwrap(); let model_no_norm = - StaticModel::from_pretrained("tests/fixtures/test-model-float32", None, Some(false), None) - .unwrap(); + StaticModel::from_pretrained("tests/fixtures/test-model-float32", None, Some(false), None).unwrap(); let norm_norm = embedding_norm(&model_norm, "test sentence"); let norm_no = embedding_norm(&model_no_norm, "test sentence"); - assert!((norm_norm - 1.0).abs() < 1e-5, "normalized vector should have unit norm"); - assert!(norm_no > norm_norm, "without normalization override, norm should be larger"); + assert!( + (norm_norm - 1.0).abs() < 1e-5, + "normalized vector should have unit norm" + ); + assert!( + norm_no > norm_norm, + "without normalization override, norm should be larger" + ); } /// A path that matches no known layout returns a helpful error @@ -172,5 +164,8 @@ fn test_load_invalid_path_error() { let result = StaticModel::from_pretrained("tests/fixtures", None, None, None); assert!(result.is_err()); let msg = result.unwrap_err().to_string(); - assert!(msg.contains("no valid model layout"), "error should mention layout: {msg}"); + assert!( + msg.contains("no valid model layout"), + "error should mention layout: {msg}" + ); } From 31859f8c40c4372497d95cef9a78f6dc8ec6820e Mon Sep 17 00:00:00 2001 From: Pringled Date: Fri, 13 Mar 2026 11:56:04 +0100 Subject: [PATCH 08/16] Cleaning up code --- src/model.rs | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/src/model.rs b/src/model.rs index fe7dba5..c69eac1 100644 --- a/src/model.rs +++ b/src/model.rs @@ -34,7 +34,7 @@ struct ResolvedPaths { layout: ModelLayout, } -struct Layout { +struct LayoutSpec { config_file: &'static str, tokenizer_file: &'static str, model_file: &'static str, @@ -45,9 +45,9 @@ struct Layout { layout: ModelLayout, } -static LAYOUTS: &[Layout] = &[ +static LAYOUTS: &[LayoutSpec] = &[ // 1. Native model2vec - Layout { + LayoutSpec { config_file: "config.json", tokenizer_file: "tokenizer.json", model_file: "model.safetensors", @@ -56,7 +56,7 @@ static LAYOUTS: &[Layout] = &[ layout: ModelLayout::Native, }, // 2. Sentence Transformers root layout - Layout { + LayoutSpec { config_file: "config_sentence_transformers.json", tokenizer_file: "tokenizer.json", model_file: "model.safetensors", @@ -65,7 +65,7 @@ static LAYOUTS: &[Layout] = &[ layout: ModelLayout::SentenceTransformers, }, // 3. Sentence Transformers 0_StaticEmbedding subfolder - Layout { + LayoutSpec { config_file: "config_sentence_transformers.json", tokenizer_file: "0_StaticEmbedding/tokenizer.json", model_file: "0_StaticEmbedding/model.safetensors", @@ -74,7 +74,7 @@ static LAYOUTS: &[Layout] = &[ layout: ModelLayout::SentenceTransformers, }, // 4. Config-in-parent (caller passed subfolder pointing directly at model files) - Layout { + LayoutSpec { config_file: "config_sentence_transformers.json", tokenizer_file: "tokenizer.json", model_file: "model.safetensors", From 554b7dfcf3f0855d971f7d2ebd7d2a2b03cb7600 Mon Sep 17 00:00:00 2001 From: Pringled Date: Fri, 13 Mar 2026 11:59:43 +0100 Subject: [PATCH 09/16] Cleaning up code --- src/model.rs | 10 ---------- 1 file changed, 10 deletions(-) diff --git a/src/model.rs b/src/model.rs index c69eac1..4d37add 100644 --- a/src/model.rs +++ b/src/model.rs @@ -192,10 +192,6 @@ fn read_normalize(config_path: &Path, explicit_modules: Option<&Path>) -> bool { has_normalize_module(modules_path).unwrap_or(true) } -// --------------------------------------------------------------------------- -// Model -// --------------------------------------------------------------------------- - /// Static embedding model for Model2Vec #[derive(Debug, Clone)] pub struct StaticModel { @@ -211,12 +207,6 @@ pub struct StaticModel { impl StaticModel { /// Load a Model2Vec model from a local folder or the HuggingFace Hub. /// - /// Supports four layouts (tried in order): - /// - **model2vec**: `config.json` + `model.safetensors` + `tokenizer.json` - /// - **sentence-transformers root**: `config_sentence_transformers.json` + model files at same level - /// - **0_StaticEmbedding**: `config_sentence_transformers.json` at root, model files under `0_StaticEmbedding/` - /// - **config-in-parent**: model files in current dir, `config_sentence_transformers.json` one level up - /// /// # Arguments /// * `repo_or_path` - HuggingFace repo ID or local path to the model folder. /// * `token` - Optional HuggingFace token for authenticated downloads. From c27d7b680f44cf89af997b52270a0c8754911a72 Mon Sep 17 00:00:00 2001 From: Pringled Date: Fri, 13 Mar 2026 12:10:27 +0100 Subject: [PATCH 10/16] Refactoring logic --- src/model.rs | 284 ++++++++++++++++++++++----------------------------- 1 file changed, 124 insertions(+), 160 deletions(-) diff --git a/src/model.rs b/src/model.rs index 4d37add..20aea6c 100644 --- a/src/model.rs +++ b/src/model.rs @@ -34,162 +34,121 @@ struct ResolvedPaths { layout: ModelLayout, } -struct LayoutSpec { - config_file: &'static str, - tokenizer_file: &'static str, - model_file: &'static str, - /// Config lives one level above the model files (layout 4: caller pointed at model dir). - config_in_parent: bool, - /// Skip when `config_sentence_transformers.json` is present alongside `config.json`. - skip_if_st_config: bool, - layout: ModelLayout, +/// Check whether `config_base/config_file`, `model_base/tokenizer.json`, and +/// `model_base/model.safetensors` all exist, and if so return a `ResolvedPaths`. +fn local_probe(config_base: &Path, model_base: &Path, config_file: &str, layout: ModelLayout) -> Option { + let config_path = config_base.join(config_file); + let tokenizer_path = model_base.join("tokenizer.json"); + let model_path = model_base.join("model.safetensors"); + (config_path.exists() && tokenizer_path.exists() && model_path.exists()).then_some(ResolvedPaths { + config_path, + tokenizer_path, + model_path, + modules_path: None, + layout, + }) } -static LAYOUTS: &[LayoutSpec] = &[ - // 1. Native model2vec - LayoutSpec { - config_file: "config.json", - tokenizer_file: "tokenizer.json", - model_file: "model.safetensors", - config_in_parent: false, - skip_if_st_config: true, - layout: ModelLayout::Native, - }, - // 2. Sentence Transformers root layout - LayoutSpec { - config_file: "config_sentence_transformers.json", - tokenizer_file: "tokenizer.json", - model_file: "model.safetensors", - config_in_parent: false, - skip_if_st_config: false, - layout: ModelLayout::SentenceTransformers, - }, - // 3. Sentence Transformers 0_StaticEmbedding subfolder - LayoutSpec { - config_file: "config_sentence_transformers.json", - tokenizer_file: "0_StaticEmbedding/tokenizer.json", - model_file: "0_StaticEmbedding/model.safetensors", - config_in_parent: false, - skip_if_st_config: false, - layout: ModelLayout::SentenceTransformers, - }, - // 4. Config-in-parent (caller passed subfolder pointing directly at model files) - LayoutSpec { - config_file: "config_sentence_transformers.json", - tokenizer_file: "tokenizer.json", - model_file: "model.safetensors", - config_in_parent: true, - skip_if_st_config: false, - layout: ModelLayout::SentenceTransformers, - }, -]; +/// Fetch `config_prefix/config_file`, `model_prefix/tokenizer.json`, and +/// `model_prefix/model.safetensors` from the Hub; return `None` if any is missing. +fn hub_probe( + repo: &ApiRepo, + config_prefix: &str, + model_prefix: &str, + config_file: &str, + layout: ModelLayout, +) -> Option { + let config_path = repo.get(&format!("{config_prefix}{config_file}")).ok()?; + let tokenizer_path = repo.get(&format!("{model_prefix}tokenizer.json")).ok()?; + let model_path = repo.get(&format!("{model_prefix}model.safetensors")).ok()?; + let modules_path = repo.get(&format!("{config_prefix}modules.json")).ok(); + Some(ResolvedPaths { + config_path, + tokenizer_path, + model_path, + modules_path, + layout, + }) +} fn resolve_local(folder: &Path) -> Option { - for spec in LAYOUTS { - let config_base = if spec.config_in_parent { - folder.parent()? - } else { - folder - }; - let config_path = config_base.join(spec.config_file); - if !config_path.exists() { - continue; + // Native model2vec — skip when a sentence-transformers config is also present. + if !folder.join("config_sentence_transformers.json").exists() { + if let r @ Some(_) = local_probe(folder, folder, "config.json", ModelLayout::Native) { + return r; } - if spec.skip_if_st_config && folder.join("config_sentence_transformers.json").exists() { - continue; - } - let tokenizer_path = folder.join(spec.tokenizer_file); - let model_path = folder.join(spec.model_file); - if !tokenizer_path.exists() || !model_path.exists() { - continue; - } - return Some(ResolvedPaths { - tokenizer_path, - model_path, - config_path, - modules_path: None, - layout: spec.layout, - }); } - None + // Sentence Transformers root layout. + if let r @ Some(_) = local_probe( + folder, + folder, + "config_sentence_transformers.json", + ModelLayout::SentenceTransformers, + ) { + return r; + } + // Sentence Transformers with model files in 0_StaticEmbedding/. + let sub = folder.join("0_StaticEmbedding"); + if let r @ Some(_) = local_probe( + folder, + &sub, + "config_sentence_transformers.json", + ModelLayout::SentenceTransformers, + ) { + return r; + } + // Config lives one level up (caller pointed directly at the model-files directory). + let parent = folder.parent()?; + local_probe( + parent, + folder, + "config_sentence_transformers.json", + ModelLayout::SentenceTransformers, + ) } fn resolve_hub(repo: &ApiRepo, prefix: &str) -> Result { - for spec in LAYOUTS { - let config_prefix: String = if spec.config_in_parent { - parent_of_prefix(prefix) - } else { - prefix.to_string() - }; - let Ok(config_path) = repo.get(&format!("{config_prefix}{}", spec.config_file)) else { - continue; - }; - if spec.skip_if_st_config - && repo - .get(&format!("{config_prefix}config_sentence_transformers.json")) - .is_ok() - { - continue; + // Native model2vec — skip when a sentence-transformers config is also present. + if repo.get(&format!("{prefix}config_sentence_transformers.json")).is_err() { + if let Some(r) = hub_probe(repo, prefix, prefix, "config.json", ModelLayout::Native) { + return Ok(r); } - let Ok(tokenizer_path) = repo.get(&format!("{prefix}{}", spec.tokenizer_file)) else { - continue; - }; - let Ok(model_path) = repo.get(&format!("{prefix}{}", spec.model_file)) else { - continue; - }; - let modules_path = repo.get(&format!("{config_prefix}modules.json")).ok(); - return Ok(ResolvedPaths { - tokenizer_path, - model_path, - config_path, - modules_path, - layout: spec.layout, - }); } - Err(anyhow!( - "no valid model layout found. Tried config files: {}", - LAYOUTS.iter().map(|s| s.config_file).collect::>().join(", ") - )) -} - -fn parent_of_prefix(prefix: &str) -> String { + // Sentence Transformers root layout. + if let Some(r) = hub_probe( + repo, + prefix, + prefix, + "config_sentence_transformers.json", + ModelLayout::SentenceTransformers, + ) { + return Ok(r); + } + // Sentence Transformers with model files in 0_StaticEmbedding/. + let sub_prefix = format!("{prefix}0_StaticEmbedding/"); + if let Some(r) = hub_probe( + repo, + prefix, + &sub_prefix, + "config_sentence_transformers.json", + ModelLayout::SentenceTransformers, + ) { + return Ok(r); + } + // Config lives one level up. let trimmed = prefix.trim_end_matches('/'); - match Path::new(trimmed).parent() { + let parent = match Path::new(trimmed).parent() { Some(p) if !p.as_os_str().is_empty() => format!("{}/", p.display()), _ => String::new(), - } -} - -fn read_config_normalize(config_path: &Path) -> Option { - let f = std::fs::File::open(config_path).ok()?; - let cfg: Value = serde_json::from_reader(f).ok()?; - cfg.get("normalize").and_then(Value::as_bool) -} - -fn has_normalize_module(modules_path: &Path) -> Option { - let f = std::fs::File::open(modules_path).ok()?; - let Value::Array(modules) = serde_json::from_reader::<_, Value>(f).ok()? else { - return None; }; - Some(modules.iter().any(|module| { - module - .get("type") - .and_then(Value::as_str) - .map(|t| t.contains("Normalize")) - .unwrap_or(false) - })) -} - -fn read_normalize(config_path: &Path, explicit_modules: Option<&Path>) -> bool { - if let Some(v) = read_config_normalize(config_path) { - return v; - } - let derived = config_path - .parent() - .unwrap_or_else(|| Path::new("")) - .join("modules.json"); - let modules_path = explicit_modules.unwrap_or(&derived); - has_normalize_module(modules_path).unwrap_or(true) + hub_probe( + repo, + &parent, + prefix, + "config_sentence_transformers.json", + ModelLayout::SentenceTransformers, + ) + .ok_or_else(|| anyhow!("no valid model layout found in '{prefix}'")) } /// Static embedding model for Model2Vec @@ -252,7 +211,30 @@ impl StaticModel { lens.sort_unstable(); let median_token_length = lens.get(lens.len() / 2).copied().unwrap_or(1); - let normalize = normalize.unwrap_or_else(|| read_normalize(&cfg_path, mod_path.as_deref())); + let normalize = normalize.unwrap_or_else(|| { + // 1. explicit key in config file + if let Some(v) = std::fs::File::open(&cfg_path) + .ok() + .and_then(|f| serde_json::from_reader::<_, Value>(f).ok()) + .and_then(|cfg| cfg.get("normalize").and_then(Value::as_bool)) + { + return v; + } + // 2. Normalize stage in modules.json; default true + let derived = cfg_path.parent().unwrap_or_else(|| Path::new("")).join("modules.json"); + let modules_path = mod_path.as_deref().unwrap_or(&derived); + let Ok(f) = std::fs::File::open(modules_path) else { + return true; + }; + let Ok(Value::Array(modules)) = serde_json::from_reader::<_, Value>(f) else { + return true; + }; + modules.iter().any(|m| { + m.get("type") + .and_then(Value::as_str) + .is_some_and(|t| t.contains("Normalize")) + }) + }); let spec_json = tokenizer .to_string(false) @@ -438,21 +420,3 @@ impl StaticModel { sum } } - -#[cfg(test)] -mod tests { - use super::parent_of_prefix; - - #[test] - fn test_parent_of_prefix() { - let cases = [ - ("0_StaticEmbedding/", ""), - ("some/path/0_StaticEmbedding/", "some/path/"), - ("models/", ""), - ("a/b/", "a/"), - ]; - for (prefix, expected) in cases { - assert_eq!(parent_of_prefix(prefix), expected, "parent_of_prefix({prefix:?})"); - } - } -} From 72d61ab8ffb34437feb056539d9c9ad50bc0cc61 Mon Sep 17 00:00:00 2001 From: Pringled Date: Sat, 21 Mar 2026 17:03:35 +0100 Subject: [PATCH 11/16] Simplified code --- src/model.rs | 9 ++------- tests/common.rs | 33 ++++++++++++--------------------- tests/test_model.rs | 8 -------- 3 files changed, 14 insertions(+), 36 deletions(-) diff --git a/src/model.rs b/src/model.rs index 20aea6c..538cb8f 100644 --- a/src/model.rs +++ b/src/model.rs @@ -10,7 +10,6 @@ use std::{ }; use tokenizers::Tokenizer; -/// Which embedding-tensor naming convention a model uses. #[derive(Debug, Clone, Copy)] enum ModelLayout { Native, @@ -34,8 +33,6 @@ struct ResolvedPaths { layout: ModelLayout, } -/// Check whether `config_base/config_file`, `model_base/tokenizer.json`, and -/// `model_base/model.safetensors` all exist, and if so return a `ResolvedPaths`. fn local_probe(config_base: &Path, model_base: &Path, config_file: &str, layout: ModelLayout) -> Option { let config_path = config_base.join(config_file); let tokenizer_path = model_base.join("tokenizer.json"); @@ -49,8 +46,6 @@ fn local_probe(config_base: &Path, model_base: &Path, config_file: &str, layout: }) } -/// Fetch `config_prefix/config_file`, `model_prefix/tokenizer.json`, and -/// `model_prefix/model.safetensors` from the Hub; return `None` if any is missing. fn hub_probe( repo: &ApiRepo, config_prefix: &str, @@ -72,7 +67,7 @@ fn hub_probe( } fn resolve_local(folder: &Path) -> Option { - // Native model2vec — skip when a sentence-transformers config is also present. + // Native model2vec, skip if sentence-transformers config is also present. if !folder.join("config_sentence_transformers.json").exists() { if let r @ Some(_) = local_probe(folder, folder, "config.json", ModelLayout::Native) { return r; @@ -108,7 +103,7 @@ fn resolve_local(folder: &Path) -> Option { } fn resolve_hub(repo: &ApiRepo, prefix: &str) -> Result { - // Native model2vec — skip when a sentence-transformers config is also present. + // Native model2vec, skip if sentence-transformers config is also present. if repo.get(&format!("{prefix}config_sentence_transformers.json")).is_err() { if let Some(r) = hub_probe(repo, prefix, prefix, "config.json", ModelLayout::Native) { return Ok(r); diff --git a/tests/common.rs b/tests/common.rs index 6524c4b..fd999b3 100644 --- a/tests/common.rs +++ b/tests/common.rs @@ -3,23 +3,19 @@ use model2vec_rs::model::StaticModel; use std::fs; use tempfile::TempDir; -/// Load the small float32 test model from fixtures pub fn load_test_model() -> StaticModel { assert_loads("tests/fixtures/test-model-float32", None) } -/// Load the vocab quantized test model from fixtures pub fn load_test_model_vocab_quantized() -> StaticModel { assert_loads("tests/fixtures/test-model-vocab-quantized", None) } -/// Load a model from `path` with an optional `subfolder`, panicking on failure. pub fn assert_loads(path: &str, subfolder: Option<&str>) -> StaticModel { StaticModel::from_pretrained(path, None, None, subfolder) .unwrap_or_else(|e| panic!("failed to load model at {path}: {e}")) } -/// Encode `text` with a model loaded from `path`/`subfolder`, return the embedding. pub fn encode_with_model(path: &str) -> Vec { let model = assert_loads(path, None); let out = model.encode(&["hello world".to_string()]); @@ -27,28 +23,20 @@ pub fn encode_with_model(path: &str) -> Vec { out.into_iter().next().unwrap() } -/// L2 norm of `model.encode(&[text])`. pub fn embedding_norm(model: &StaticModel, text: &str) -> f32 { let emb = model.encode(&[text.to_string()]); emb[0].iter().map(|&x| x * x).sum::().sqrt() } -// --------------------------------------------------------------------------- -// Temp-dir fixture builders -// --------------------------------------------------------------------------- - const ST_CONFIG: &str = r#"{"normalize": true}"#; -const PLAIN_CONFIG: &str = r#"{"model_type":"model2vec","normalize":true,"hidden_dim":64}"#; - -/// Resolve a source file from the sentence-transformers fixture. -fn st_src(file: &str) -> String { - format!("tests/fixtures/test-model-sentence-transformers/{file}") -} -/// Copy the two binary blobs (model + tokenizer) from the ST fixture into `dir`. fn copy_st_blobs(dir: &std::path::Path) { for file in ["model.safetensors", "tokenizer.json"] { - fs::copy(st_src(file), dir.join(file)).expect("copy fixture blob"); + fs::copy( + format!("tests/fixtures/test-model-sentence-transformers/{file}"), + dir.join(file), + ) + .expect("copy fixture blob"); } } @@ -62,12 +50,15 @@ pub fn temp_st_dir(modules_json: Option<&str>) -> TempDir { dir } -/// Temp dir with both configs present. `config.json` has `normalize: false`, -/// `config_sentence_transformers.json` has `normalize: true`, so tests can detect which won. +/// Both configs present: `config.json` has `normalize: false`, +/// `config_sentence_transformers.json` has `normalize: true`. pub fn temp_both_configs_dir() -> TempDir { let dir = temp_st_dir(None); - let native_config = r#"{"model_type":"model2vec","normalize":false,"hidden_dim":64}"#; - fs::write(dir.path().join("config.json"), native_config).expect("write config.json"); + fs::write( + dir.path().join("config.json"), + r#"{"model_type":"model2vec","normalize":false}"#, + ) + .expect("write config.json"); dir } diff --git a/tests/test_model.rs b/tests/test_model.rs index 502051d..bacc70c 100644 --- a/tests/test_model.rs +++ b/tests/test_model.rs @@ -38,21 +38,13 @@ fn test_all_layouts_load() { let nested = temp_nested_st_dir(); let cases: &[(&str, Option<&str>)] = &[ - // Native model2vec ("tests/fixtures/test-model-float32", None), - // Sentence-transformers root layout ("tests/fixtures/test-model-sentence-transformers", None), - // 0_StaticEmbedding subfolder (auto-detected) ("tests/fixtures/test-model-static-embedding", None), - // 0_StaticEmbedding via explicit subfolder arg ("tests/fixtures/test-model-static-embedding", Some("0_StaticEmbedding")), - // Direct path into 0_StaticEmbedding ("tests/fixtures/test-model-static-embedding/0_StaticEmbedding", None), - // Both configs present — ST should win (both.path().to_str().unwrap(), None), - // Nested subfolder path (nested.path().to_str().unwrap(), Some("some/path/0_StaticEmbedding")), - // Direct path into nested 0_StaticEmbedding ( &format!("{}/some/path/0_StaticEmbedding", nested.path().display()), None, From 002f69793f7f894a6b594c0fdfe3ed9f7da9533e Mon Sep 17 00:00:00 2001 From: Pringled Date: Sat, 21 Mar 2026 17:39:37 +0100 Subject: [PATCH 12/16] Simplified code --- src/model.rs | 25 +++++++++++++++---------- 1 file changed, 15 insertions(+), 10 deletions(-) diff --git a/src/model.rs b/src/model.rs index 538cb8f..2136221 100644 --- a/src/model.rs +++ b/src/model.rs @@ -33,7 +33,12 @@ struct ResolvedPaths { layout: ModelLayout, } -fn local_probe(config_base: &Path, model_base: &Path, config_file: &str, layout: ModelLayout) -> Option { +fn match_local_layout( + config_base: &Path, + model_base: &Path, + config_file: &str, + layout: ModelLayout, +) -> Option { let config_path = config_base.join(config_file); let tokenizer_path = model_base.join("tokenizer.json"); let model_path = model_base.join("model.safetensors"); @@ -46,7 +51,7 @@ fn local_probe(config_base: &Path, model_base: &Path, config_file: &str, layout: }) } -fn hub_probe( +fn match_hub_layout( repo: &ApiRepo, config_prefix: &str, model_prefix: &str, @@ -69,12 +74,12 @@ fn hub_probe( fn resolve_local(folder: &Path) -> Option { // Native model2vec, skip if sentence-transformers config is also present. if !folder.join("config_sentence_transformers.json").exists() { - if let r @ Some(_) = local_probe(folder, folder, "config.json", ModelLayout::Native) { + if let r @ Some(_) = match_local_layout(folder, folder, "config.json", ModelLayout::Native) { return r; } } // Sentence Transformers root layout. - if let r @ Some(_) = local_probe( + if let r @ Some(_) = match_local_layout( folder, folder, "config_sentence_transformers.json", @@ -84,7 +89,7 @@ fn resolve_local(folder: &Path) -> Option { } // Sentence Transformers with model files in 0_StaticEmbedding/. let sub = folder.join("0_StaticEmbedding"); - if let r @ Some(_) = local_probe( + if let r @ Some(_) = match_local_layout( folder, &sub, "config_sentence_transformers.json", @@ -94,7 +99,7 @@ fn resolve_local(folder: &Path) -> Option { } // Config lives one level up (caller pointed directly at the model-files directory). let parent = folder.parent()?; - local_probe( + match_local_layout( parent, folder, "config_sentence_transformers.json", @@ -105,12 +110,12 @@ fn resolve_local(folder: &Path) -> Option { fn resolve_hub(repo: &ApiRepo, prefix: &str) -> Result { // Native model2vec, skip if sentence-transformers config is also present. if repo.get(&format!("{prefix}config_sentence_transformers.json")).is_err() { - if let Some(r) = hub_probe(repo, prefix, prefix, "config.json", ModelLayout::Native) { + if let Some(r) = match_hub_layout(repo, prefix, prefix, "config.json", ModelLayout::Native) { return Ok(r); } } // Sentence Transformers root layout. - if let Some(r) = hub_probe( + if let Some(r) = match_hub_layout( repo, prefix, prefix, @@ -121,7 +126,7 @@ fn resolve_hub(repo: &ApiRepo, prefix: &str) -> Result { } // Sentence Transformers with model files in 0_StaticEmbedding/. let sub_prefix = format!("{prefix}0_StaticEmbedding/"); - if let Some(r) = hub_probe( + if let Some(r) = match_hub_layout( repo, prefix, &sub_prefix, @@ -136,7 +141,7 @@ fn resolve_hub(repo: &ApiRepo, prefix: &str) -> Result { Some(p) if !p.as_os_str().is_empty() => format!("{}/", p.display()), _ => String::new(), }; - hub_probe( + match_hub_layout( repo, &parent, prefix, From 039d7f3611ffa73468ac360746cda19dd9cc1333 Mon Sep 17 00:00:00 2001 From: Pringled Date: Sun, 22 Mar 2026 11:40:22 +0100 Subject: [PATCH 13/16] Ensure Python parity --- src/model.rs | 52 +++++++++++++-------------------------------- tests/common.rs | 7 ++---- tests/test_model.rs | 51 ++++++-------------------------------------- 3 files changed, 24 insertions(+), 86 deletions(-) diff --git a/src/model.rs b/src/model.rs index 2136221..308a700 100644 --- a/src/model.rs +++ b/src/model.rs @@ -29,7 +29,6 @@ struct ResolvedPaths { tokenizer_path: PathBuf, model_path: PathBuf, config_path: PathBuf, - modules_path: Option, layout: ModelLayout, } @@ -46,7 +45,6 @@ fn match_local_layout( config_path, tokenizer_path, model_path, - modules_path: None, layout, }) } @@ -61,22 +59,18 @@ fn match_hub_layout( let config_path = repo.get(&format!("{config_prefix}{config_file}")).ok()?; let tokenizer_path = repo.get(&format!("{model_prefix}tokenizer.json")).ok()?; let model_path = repo.get(&format!("{model_prefix}model.safetensors")).ok()?; - let modules_path = repo.get(&format!("{config_prefix}modules.json")).ok(); Some(ResolvedPaths { config_path, tokenizer_path, model_path, - modules_path, layout, }) } fn resolve_local(folder: &Path) -> Option { - // Native model2vec, skip if sentence-transformers config is also present. - if !folder.join("config_sentence_transformers.json").exists() { - if let r @ Some(_) = match_local_layout(folder, folder, "config.json", ModelLayout::Native) { - return r; - } + // Native model2vec — tried first, matching Python model2vec layout resolution order. + if let r @ Some(_) = match_local_layout(folder, folder, "config.json", ModelLayout::Native) { + return r; } // Sentence Transformers root layout. if let r @ Some(_) = match_local_layout( @@ -108,11 +102,9 @@ fn resolve_local(folder: &Path) -> Option { } fn resolve_hub(repo: &ApiRepo, prefix: &str) -> Result { - // Native model2vec, skip if sentence-transformers config is also present. - if repo.get(&format!("{prefix}config_sentence_transformers.json")).is_err() { - if let Some(r) = match_hub_layout(repo, prefix, prefix, "config.json", ModelLayout::Native) { - return Ok(r); - } + // Native model2vec — tried first, matching Python model2vec layout resolution order. + if let Some(r) = match_hub_layout(repo, prefix, prefix, "config.json", ModelLayout::Native) { + return Ok(r); } // Sentence Transformers root layout. if let Some(r) = match_hub_layout( @@ -186,7 +178,6 @@ impl StaticModel { tokenizer_path: tok_path, model_path: mdl_path, config_path: cfg_path, - modules_path: mod_path, layout, } = if base.exists() { let folder = subfolder.map(|s| base.join(s)).unwrap_or_else(|| base.to_path_buf()); @@ -212,41 +203,28 @@ impl StaticModel { let median_token_length = lens.get(lens.len() / 2).copied().unwrap_or(1); let normalize = normalize.unwrap_or_else(|| { - // 1. explicit key in config file - if let Some(v) = std::fs::File::open(&cfg_path) + std::fs::File::open(&cfg_path) .ok() .and_then(|f| serde_json::from_reader::<_, Value>(f).ok()) .and_then(|cfg| cfg.get("normalize").and_then(Value::as_bool)) - { - return v; - } - // 2. Normalize stage in modules.json; default true - let derived = cfg_path.parent().unwrap_or_else(|| Path::new("")).join("modules.json"); - let modules_path = mod_path.as_deref().unwrap_or(&derived); - let Ok(f) = std::fs::File::open(modules_path) else { - return true; - }; - let Ok(Value::Array(modules)) = serde_json::from_reader::<_, Value>(f) else { - return true; - }; - modules.iter().any(|m| { - m.get("type") - .and_then(Value::as_str) - .is_some_and(|t| t.contains("Normalize")) - }) + .unwrap_or(false) }); let spec_json = tokenizer .to_string(false) .map_err(|e| anyhow!("tokenizer -> JSON failed: {e}"))?; let spec: Value = serde_json::from_str(&spec_json)?; - // If no unk token is defined, don't filter anything. - // If one is defined but absent from the vocab, fall back to id 0. let unk_token_id = spec .get("model") .and_then(|m| m.get("unk_token")) .and_then(Value::as_str) - .map(|unk| tokenizer.token_to_id(unk).map(|id| id as usize).unwrap_or(0)); + .map(|unk| { + tokenizer + .token_to_id(unk) + .map(|id| id as usize) + .ok_or_else(|| anyhow!("unk_token '{unk}' not found in vocabulary")) + }) + .transpose()?; let model_bytes = fs::read(&mdl_path).context("failed to read model.safetensors")?; let safet = SafeTensors::deserialize(&model_bytes).context("failed to parse safetensors")?; diff --git a/tests/common.rs b/tests/common.rs index fd999b3..ddbfb76 100644 --- a/tests/common.rs +++ b/tests/common.rs @@ -40,20 +40,17 @@ fn copy_st_blobs(dir: &std::path::Path) { } } -pub fn temp_st_dir(modules_json: Option<&str>) -> TempDir { +fn temp_st_dir() -> TempDir { let dir = tempfile::tempdir().expect("tempdir"); copy_st_blobs(dir.path()); fs::write(dir.path().join("config_sentence_transformers.json"), ST_CONFIG).expect("write ST config"); - if let Some(content) = modules_json { - fs::write(dir.path().join("modules.json"), content).expect("write modules.json"); - } dir } /// Both configs present: `config.json` has `normalize: false`, /// `config_sentence_transformers.json` has `normalize: true`. pub fn temp_both_configs_dir() -> TempDir { - let dir = temp_st_dir(None); + let dir = temp_st_dir(); fs::write( dir.path().join("config.json"), r#"{"model_type":"model2vec","normalize":false}"#, diff --git a/tests/test_model.rs b/tests/test_model.rs index bacc70c..bc01e56 100644 --- a/tests/test_model.rs +++ b/tests/test_model.rs @@ -1,5 +1,5 @@ mod common; -use common::{assert_loads, embedding_norm, load_test_model, temp_both_configs_dir, temp_nested_st_dir, temp_st_dir}; +use common::{assert_loads, embedding_norm, load_test_model, temp_both_configs_dir, temp_nested_st_dir}; use model2vec_rs::model::StaticModel; /// Test that encoding an empty input slice yields an empty output @@ -61,15 +61,17 @@ fn test_all_layouts_load() { } } -/// config_sentence_transformers.json (normalize=true) must win over config.json (normalize=false). +/// When both config.json and config_sentence_transformers.json are present, native wins +/// (config.json), matching Python model2vec layout resolution order. +/// config.json has normalize=false so embeddings should not be unit-normalized. #[test] -fn test_both_configs_prefers_sentence_transformers() { +fn test_both_configs_prefers_native() { let dir = temp_both_configs_dir(); let model = assert_loads(dir.path().to_str().unwrap(), None); let norm = embedding_norm(&model, "hello world"); assert!( - (norm - 1.0).abs() < 1e-5, - "expected unit norm (ST config wins), got {norm}" + (norm - 1.0).abs() > 1e-3, + "expected non-unit norm (native config.json wins with normalize=false), got {norm}" ); } @@ -91,45 +93,6 @@ fn test_sentence_transformers_matches_model2vec() { } } -/// modules.json Normalize stage controls normalization when config lacks the key -#[test] -fn test_normalize_from_modules_json() { - const WITH_NORMALIZE: &str = r#"[ - {"idx":0,"name":"0","path":".","type":"sentence_transformers.models.StaticEmbedding"}, - {"idx":1,"name":"1","path":"1_Normalize","type":"sentence_transformers.models.Normalize"} - ]"#; - const WITHOUT_NORMALIZE: &str = r#"[ - {"idx":0,"name":"0","path":".","type":"sentence_transformers.models.StaticEmbedding"} - ]"#; - - let dir_norm = temp_st_dir(Some(WITH_NORMALIZE)); - let dir_no_norm = temp_st_dir(Some(WITHOUT_NORMALIZE)); - - // Overwrite with a config that has no "normalize" key so modules.json is the source of truth. - let no_key_config = r#"{"model_type":"model2vec"}"#; - std::fs::write(dir_norm.path().join("config_sentence_transformers.json"), no_key_config).unwrap(); - std::fs::write( - dir_no_norm.path().join("config_sentence_transformers.json"), - no_key_config, - ) - .unwrap(); - - let model_norm = assert_loads(dir_norm.path().to_str().unwrap(), None); - let model_no_norm = assert_loads(dir_no_norm.path().to_str().unwrap(), None); - - let norm_normalized = embedding_norm(&model_norm, "hello world"); - let norm_unnormalized = embedding_norm(&model_no_norm, "hello world"); - - assert!( - (norm_normalized - 1.0).abs() < 1e-5, - "normalized model should have unit norm, got {norm_normalized}" - ); - assert!( - norm_unnormalized > norm_normalized, - "un-normalized model should have larger norm" - ); -} - /// Override of the `normalize` flag in from_pretrained works correctly #[test] fn test_normalization_flag_override() { From 123a06a988eb94ee65b08c7a2d1d878de5da16e7 Mon Sep 17 00:00:00 2001 From: Pringled Date: Sun, 22 Mar 2026 12:55:08 +0100 Subject: [PATCH 14/16] Fixes --- Cargo.lock | 1 + Cargo.toml | 1 + src/model.rs | 69 ++++++++++++++++++++++++++++--------------------- tests/common.rs | 28 ++++++++++---------- 4 files changed, 54 insertions(+), 45 deletions(-) diff --git a/Cargo.lock b/Cargo.lock index d6a31f8..8a152f8 100644 --- a/Cargo.lock +++ b/Cargo.lock @@ -792,6 +792,7 @@ dependencies = [ "serde_json", "tempfile", "tokenizers", + "ureq", ] [[package]] diff --git a/Cargo.toml b/Cargo.toml index b685056..b71bef1 100644 --- a/Cargo.toml +++ b/Cargo.toml @@ -30,6 +30,7 @@ tokenizers = { version = "0.21", default-features = false } safetensors = "0.5" ndarray = "0.15" hf-hub = { version = "0.4", default-features = false, features = ["ureq"] } +ureq = "2" clap = { version = "4.0", features = ["derive"] } anyhow = "1.0" serde_json = "1.0" diff --git a/src/model.rs b/src/model.rs index 6381f8c..c201fd8 100644 --- a/src/model.rs +++ b/src/model.rs @@ -50,26 +50,44 @@ fn match_local_layout( }) } +fn is_not_found(e: &hf_hub::api::sync::ApiError) -> bool { + use hf_hub::api::sync::ApiError; + matches!(e, ApiError::RequestError(e) if matches!(e.as_ref(), ureq::Error::Status(404, _))) +} + fn match_hub_layout( repo: &ApiRepo, config_prefix: &str, model_prefix: &str, config_file: &str, layout: ModelLayout, -) -> Option { - let config_path = repo.get(&format!("{config_prefix}{config_file}")).ok()?; - let tokenizer_path = repo.get(&format!("{model_prefix}tokenizer.json")).ok()?; - let model_path = repo.get(&format!("{model_prefix}model.safetensors")).ok()?; - Some(ResolvedPaths { - config_path, - tokenizer_path, - model_path, - layout, - }) +) -> Option> { + // Probe whether this layout exists: only a 404 means "not this layout". + // Any other error (auth, network) is a real failure and must propagate. + let config_path = match repo.get(&format!("{config_prefix}{config_file}")) { + Ok(path) => path, + Err(e) if is_not_found(&e) => return None, + Err(e) => return Some(Err(e.into())), + }; + // Config present — layout matched. Any further error is a real failure. + Some((|| { + let tokenizer_path = repo + .get(&format!("{model_prefix}tokenizer.json")) + .context("failed to download tokenizer.json")?; + let model_path = repo + .get(&format!("{model_prefix}model.safetensors")) + .context("failed to download model.safetensors")?; + Ok(ResolvedPaths { + config_path, + tokenizer_path, + model_path, + layout, + }) + })()) } fn resolve_local(folder: &Path) -> Option { - // Native model2vec — tried first, matching Python model2vec layout resolution order. + // Native model2vec, tried first to match Python model2vec layout resolution order. if let r @ Some(_) = match_local_layout(folder, folder, "config.json", ModelLayout::Native) { return r; } @@ -103,9 +121,9 @@ fn resolve_local(folder: &Path) -> Option { } fn resolve_hub(repo: &ApiRepo, prefix: &str) -> Result { - // Native model2vec — tried first, matching Python model2vec layout resolution order. + // Native model2vec, tried first to match Python model2vec layout resolution order. if let Some(r) = match_hub_layout(repo, prefix, prefix, "config.json", ModelLayout::Native) { - return Ok(r); + return r; } // Sentence Transformers root layout. if let Some(r) = match_hub_layout( @@ -115,7 +133,7 @@ fn resolve_hub(repo: &ApiRepo, prefix: &str) -> Result { "config_sentence_transformers.json", ModelLayout::SentenceTransformers, ) { - return Ok(r); + return r; } // Sentence Transformers with model files in 0_StaticEmbedding/. let sub_prefix = format!("{prefix}0_StaticEmbedding/"); @@ -126,7 +144,7 @@ fn resolve_hub(repo: &ApiRepo, prefix: &str) -> Result { "config_sentence_transformers.json", ModelLayout::SentenceTransformers, ) { - return Ok(r); + return r; } // Config lives one level up. let trimmed = prefix.trim_end_matches('/'); @@ -141,7 +159,7 @@ fn resolve_hub(repo: &ApiRepo, prefix: &str) -> Result { "config_sentence_transformers.json", ModelLayout::SentenceTransformers, ) - .ok_or_else(|| anyhow!("no valid model layout found in '{prefix}'")) + .unwrap_or_else(|| Err(anyhow!("no valid model layout found in '{prefix}'"))) } /// Static embedding model for Model2Vec @@ -199,25 +217,16 @@ impl StaticModel { let tokenizer = Tokenizer::from_file(&tok_path).map_err(|e| anyhow!("failed to load tokenizer: {e}"))?; - let normalize = normalize.unwrap_or_else(|| { - std::fs::File::open(&cfg_path) - .ok() - .and_then(|f| serde_json::from_reader::<_, Value>(f).ok()) - .and_then(|cfg| cfg.get("normalize").and_then(Value::as_bool)) - .unwrap_or(false) - }); + let f = std::fs::File::open(&cfg_path).context("failed to read config")?; + let cfg: Value = serde_json::from_reader(f).context("failed to parse config")?; + let normalize = normalize.unwrap_or_else(|| cfg.get("normalize").and_then(Value::as_bool).unwrap_or(false)); let model_bytes = fs::read(&mdl_path).context("failed to read model.safetensors")?; let safet = SafeTensors::deserialize(&model_bytes).context("failed to parse safetensors")?; let emb_key = layout.embedding_key(); let tensor = safet .tensor(emb_key) - .or_else(|_| safet.tensor("embeddings")) - .or_else(|_| safet.tensor("embedding.weight")) - .or_else(|_| safet.tensor("0")) - .with_context(|| { - format!("embedding tensor not found (tried '{emb_key}', 'embeddings', 'embedding.weight', '0')") - })?; + .with_context(|| format!("embedding tensor '{emb_key}' not found"))?; let [rows, cols]: [usize; 2] = tensor.shape().try_into().context("embedding tensor is not 2-D")?; let raw = tensor.data(); @@ -386,7 +395,7 @@ impl StaticModel { Ok((median_token_length, unk_token_id)) } - /// Char-level truncation to max_tokens × median_token_length + /// Char-level truncation to max_tokens * median_token_length fn truncate_str(s: &str, max_tokens: usize, median_len: usize) -> &str { let max_chars = max_tokens.saturating_mul(median_len); match s.char_indices().nth(max_chars) { diff --git a/tests/common.rs b/tests/common.rs index ddbfb76..5185786 100644 --- a/tests/common.rs +++ b/tests/common.rs @@ -30,27 +30,19 @@ pub fn embedding_norm(model: &StaticModel, text: &str) -> f32 { const ST_CONFIG: &str = r#"{"normalize": true}"#; -fn copy_st_blobs(dir: &std::path::Path) { +fn copy_native_blobs(dir: &std::path::Path) { for file in ["model.safetensors", "tokenizer.json"] { - fs::copy( - format!("tests/fixtures/test-model-sentence-transformers/{file}"), - dir.join(file), - ) - .expect("copy fixture blob"); + fs::copy(format!("tests/fixtures/test-model-float32/{file}"), dir.join(file)).expect("copy fixture blob"); } } -fn temp_st_dir() -> TempDir { - let dir = tempfile::tempdir().expect("tempdir"); - copy_st_blobs(dir.path()); - fs::write(dir.path().join("config_sentence_transformers.json"), ST_CONFIG).expect("write ST config"); - dir -} - /// Both configs present: `config.json` has `normalize: false`, /// `config_sentence_transformers.json` has `normalize: true`. +/// Uses native weights (embeddings tensor) so no cross-layout fallback is needed. pub fn temp_both_configs_dir() -> TempDir { - let dir = temp_st_dir(); + let dir = tempfile::tempdir().expect("tempdir"); + copy_native_blobs(dir.path()); + fs::write(dir.path().join("config_sentence_transformers.json"), ST_CONFIG).expect("write ST config"); fs::write( dir.path().join("config.json"), r#"{"model_type":"model2vec","normalize":false}"#, @@ -64,7 +56,13 @@ pub fn temp_nested_st_dir() -> TempDir { let base = dir.path().join("some/path"); let emb_dir = base.join("0_StaticEmbedding"); fs::create_dir_all(&emb_dir).expect("create nested dir"); - copy_st_blobs(&emb_dir); + for file in ["model.safetensors", "tokenizer.json"] { + fs::copy( + format!("tests/fixtures/test-model-sentence-transformers/{file}"), + emb_dir.join(file), + ) + .expect("copy fixture blob"); + } fs::write(base.join("config_sentence_transformers.json"), ST_CONFIG).expect("write nested ST config"); dir } From 0c9cd700e98610ee29eecc790589eed7fd92b691 Mon Sep 17 00:00:00 2001 From: Pringled Date: Sun, 22 Mar 2026 13:01:56 +0100 Subject: [PATCH 15/16] Updated comments --- src/model.rs | 40 ++++++++++++++++++++-------------------- 1 file changed, 20 insertions(+), 20 deletions(-) diff --git a/src/model.rs b/src/model.rs index c201fd8..80f36a2 100644 --- a/src/model.rs +++ b/src/model.rs @@ -62,32 +62,32 @@ fn match_hub_layout( config_file: &str, layout: ModelLayout, ) -> Option> { - // Probe whether this layout exists: only a 404 means "not this layout". - // Any other error (auth, network) is a real failure and must propagate. + // 404 = not this layout; other errors (auth, network) propagate. let config_path = match repo.get(&format!("{config_prefix}{config_file}")) { Ok(path) => path, Err(e) if is_not_found(&e) => return None, Err(e) => return Some(Err(e.into())), }; - // Config present — layout matched. Any further error is a real failure. - Some((|| { - let tokenizer_path = repo - .get(&format!("{model_prefix}tokenizer.json")) - .context("failed to download tokenizer.json")?; - let model_path = repo - .get(&format!("{model_prefix}model.safetensors")) - .context("failed to download model.safetensors")?; - Ok(ResolvedPaths { - config_path, - tokenizer_path, - model_path, - layout, - }) - })()) + let tokenizer_path = match repo.get(&format!("{model_prefix}tokenizer.json")) { + Ok(path) => path, + Err(e) if is_not_found(&e) => return None, + Err(e) => return Some(Err(e.into())), + }; + let model_path = match repo.get(&format!("{model_prefix}model.safetensors")) { + Ok(path) => path, + Err(e) if is_not_found(&e) => return None, + Err(e) => return Some(Err(e.into())), + }; + Some(Ok(ResolvedPaths { + config_path, + tokenizer_path, + model_path, + layout, + })) } fn resolve_local(folder: &Path) -> Option { - // Native model2vec, tried first to match Python model2vec layout resolution order. + // Native model2vec. if let r @ Some(_) = match_local_layout(folder, folder, "config.json", ModelLayout::Native) { return r; } @@ -110,7 +110,7 @@ fn resolve_local(folder: &Path) -> Option { ) { return r; } - // Config lives one level up (caller pointed directly at the model-files directory). + // Config lives one level up. let parent = folder.parent()?; match_local_layout( parent, @@ -121,7 +121,7 @@ fn resolve_local(folder: &Path) -> Option { } fn resolve_hub(repo: &ApiRepo, prefix: &str) -> Result { - // Native model2vec, tried first to match Python model2vec layout resolution order. + // Native model2vec. if let Some(r) = match_hub_layout(repo, prefix, prefix, "config.json", ModelLayout::Native) { return r; } From 9e02042a9c6da0f0b1c2a4ff205422cf0d465caf Mon Sep 17 00:00:00 2001 From: Pringled Date: Sun, 22 Mar 2026 13:18:14 +0100 Subject: [PATCH 16/16] Simplified code --- src/model.rs | 36 +++++++++++------------------------- 1 file changed, 11 insertions(+), 25 deletions(-) diff --git a/src/model.rs b/src/model.rs index 80f36a2..a6c1967 100644 --- a/src/model.rs +++ b/src/model.rs @@ -87,11 +87,9 @@ fn match_hub_layout( } fn resolve_local(folder: &Path) -> Option { - // Native model2vec. if let r @ Some(_) = match_local_layout(folder, folder, "config.json", ModelLayout::Native) { return r; } - // Sentence Transformers root layout. if let r @ Some(_) = match_local_layout( folder, folder, @@ -121,11 +119,9 @@ fn resolve_local(folder: &Path) -> Option { } fn resolve_hub(repo: &ApiRepo, prefix: &str) -> Result { - // Native model2vec. if let Some(r) = match_hub_layout(repo, prefix, prefix, "config.json", ModelLayout::Native) { return r; } - // Sentence Transformers root layout. if let Some(r) = match_hub_layout( repo, prefix, @@ -291,6 +287,13 @@ impl StaticModel { /// * `normalize` - Whether to L2-normalize output embeddings /// * `weights` - Optional per-token weights for quantized models /// * `token_mapping` - Optional token ID mapping for quantized models + fn check_shape(len: usize, rows: usize, cols: usize) -> Result<()> { + if len != rows * cols { + return Err(anyhow!("embeddings length {} != rows {} * cols {}", len, rows, cols)); + } + Ok(()) + } + pub fn from_owned( tokenizer: Tokenizer, embeddings: Vec, @@ -300,14 +303,7 @@ impl StaticModel { weights: Option>, token_mapping: Option>, ) -> Result { - if embeddings.len() != rows * cols { - return Err(anyhow!( - "embeddings length {} != rows {} * cols {}", - embeddings.len(), - rows, - cols - )); - } + Self::check_shape(embeddings.len(), rows, cols)?; let (median_token_length, unk_token_id) = Self::compute_metadata(&tokenizer)?; @@ -345,14 +341,7 @@ impl StaticModel { weights: Option<&'static [f32]>, token_mapping: Option<&'static [usize]>, ) -> Result { - if embeddings.len() != rows * cols { - return Err(anyhow!( - "embeddings length {} != rows {} * cols {}", - embeddings.len(), - rows, - cols - )); - } + Self::check_shape(embeddings.len(), rows, cols)?; let (median_token_length, unk_token_id) = Self::compute_metadata(&tokenizer)?; @@ -375,10 +364,7 @@ impl StaticModel { lens.sort_unstable(); let median_token_length = lens.get(lens.len() / 2).copied().unwrap_or(1); - let spec_json = tokenizer - .to_string(false) - .map_err(|e| anyhow!("tokenizer -> JSON failed: {e}"))?; - let spec: Value = serde_json::from_str(&spec_json)?; + let spec: Value = serde_json::to_value(tokenizer).context("failed to serialize tokenizer")?; let unk_token = spec .get("model") .and_then(|m| m.get("unk_token")) @@ -430,7 +416,7 @@ impl StaticModel { .tokenizer .encode_batch_fast::( truncated.into_iter().map(Into::into).collect(), - /* add_special_tokens = */ false, + false, ) .expect("tokenization failed"); for encoding in encodings {