Initial Rust integration bundle (test F1 0.968, bf16 safetensors, candle-transformers compatible)
Browse files- README.md +125 -0
- calibrator.json +26 -0
- config.json +93 -0
- model.safetensors +3 -0
- spec.json +133 -0
- special_tokens_map.json +37 -0
- tensor_index.json +1200 -0
- tokenizer.json +0 -0
- tokenizer_config.json +944 -0
README.md
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---
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license: apache-2.0
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base_model: answerdotai/ModernBERT-large
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tags:
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- modernbert
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- episodic-ingestion-compiler
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- ingestion-model-spec-v1
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- rust
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- candle
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language:
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- en
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library_name: candle
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---
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# episodic-ingestion-compiler — Rust integration bundle
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Rust-native packaging of the `ingestion-model-spec-v1` encoder
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(ModernBERT-large + 5 heads) for consumers using `candle-transformers`.
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Zero Python runtime needed.
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**Full training checkpoint** (best.pt + calibrator.joblib) lives at
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[`Avifenesh/episodic-ingestion-compiler-modernbert-large-span-5000`](https://huggingface.co/Avifenesh/episodic-ingestion-compiler-modernbert-large-span-5000).
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## Headline metrics (13,786-row held-out test split)
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| Metric | Value |
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|---|---:|
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| schema_validity | **1.000** |
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| abstention_accuracy | **0.986** |
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| claim_present F1 | 0.968 |
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| false_emission_rate | 0.008 |
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| span_token_IoU | 0.970 |
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| predicate_accuracy_macro | 0.960 |
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| subject_type_accuracy_macro | 0.998 |
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## Contents
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```
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model.safetensors — ModernBERT backbone + 5 heads, bf16, 790 MB
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config.json — arch + trained args + head schema
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tokenizer.json — HF tokenizers-crate compatible
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spec.json — spec-v1 contract (predicates, subject_types,
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object_value shapes, literal fields)
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calibrator.json — isotonic regression as piecewise-linear points
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tensor_index.json — per-tensor shape/dtype (debug aid)
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```
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Backbone keys are remapped to `backbone.model.*` so
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`candle_transformers::models::modernbert::ModernBert::load(vb.pp("backbone"), ...)`
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resolves without any glue code.
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## Loading in Rust
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```toml
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[dependencies]
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candle-core = "0.9"
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candle-nn = "0.9"
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candle-transformers = "0.9"
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tokenizers = { version = "0.22", default-features = false, features = ["onig"] }
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safetensors = "0.4"
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```
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Working crate + example at
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https://github.com/avifenesh/episodic-ingestion-compiler/tree/main/rust/ingestion-model
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```rust
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use candle_core::Device;
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use ingestion_model::{Bundle, IngestionEncoder, Role};
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let bundle = Bundle::load("ingestion_model_v1")?;
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let device = Device::cuda_if_available(0).unwrap_or(Device::Cpu);
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let encoder = IngestionEncoder::load(&bundle, device)?;
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let raw = encoder.predict(
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| 75 |
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Role::Assistant,
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| 76 |
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"I edited crates/foo/src/lib.rs and ran cargo test which passed.",
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| 77 |
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)?;
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| 78 |
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// raw = claim_prob, predicate, class_hint, subject_type,
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// confidence_raw, span_char (in original blurb), span_tok
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let calibrated = bundle.calibrator.as_ref()
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.map(|c| c.apply(raw.confidence_raw))
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.unwrap_or(raw.confidence_raw);
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```
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On CPU (single-core gemm), warm-start is ~100 ms/req with bf16 weights
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| 86 |
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automatically upcast to fp32 (candle's CPU matmul doesn't support bf16).
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Batched / CUDA paths exposed via `predict_batch` and `--features cuda`.
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## Spec-v1 contract
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Closed vocabularies are in `spec.json`:
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- **21 predicates** — Class S (declarative) + Class E (evidence) +
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| 94 |
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reserved (`reverted_file`, `deleted_file`, `created_file`,
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| 95 |
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`committed`, `deployed`, `incident_observed`)
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| 96 |
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- **13 subject_types** — `objective`, `command`, `file`, `pr`,
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| 97 |
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`incident`, `policy`, `person`, `repo`, `team`, `service`, `document`,
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| 98 |
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`ticket`, `thread`
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| 99 |
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- **2 deferred predicates** that the model MUST NEVER emit —
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| 100 |
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`has_current_input`, `has_phase`
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| 101 |
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- **object_value shapes** per predicate family, for the wrapper
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| 102 |
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| 103 |
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The model emits the information-bearing subset; the caller's
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| 104 |
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deterministic wrapper fills in literal fields (`status="candidate"`,
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| 105 |
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`source_authority="model_draft"`, `extraction_method="ingestion_model_v1"`),
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| 106 |
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per-predicate `object_value` dicts, `subject_id` extraction from the
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| 107 |
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span, and spec validation (silent-drop on failure).
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| 108 |
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Python reference implementation:
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[`scripts/ingestion_wrapper.py`](https://github.com/avifenesh/episodic-ingestion-compiler/blob/main/scripts/ingestion_wrapper.py).
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Rust crate ships only the encoder for now; the wrapper lives in the
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caller's crate so it can evolve independently of the model.
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## Calibration
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| 115 |
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`calibrator.json` is a piecewise-linear isotonic map. Raw confidence
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| 117 |
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ECE 0.340 → post-calibration ECE 0.000 on the 2879-row cal split.
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Apply with `(c - x[i]) / (x[i+1] - x[i])` linear interp between the
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| 119 |
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knots, clip to endpoints out of range.
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| 120 |
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## License / lineage
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ModernBERT-large is Apache-2.0. The 5 adapter heads and calibrator are
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derivatives; training code is at
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https://github.com/avifenesh/episodic-ingestion-compiler.
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calibrator.json
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{
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"type": "isotonic_piecewise_linear",
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| 3 |
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"x": [
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| 4 |
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0.384765625,
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| 5 |
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0.6875,
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| 6 |
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0.69140625,
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| 7 |
+
0.71875,
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| 8 |
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0.72265625,
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| 9 |
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0.80078125,
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| 10 |
+
0.80859375
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| 11 |
+
],
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| 12 |
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"y": [
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| 13 |
+
0.9716874292185731,
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| 14 |
+
0.9716874292185731,
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| 15 |
+
0.9957081545064378,
|
| 16 |
+
0.9957081545064378,
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| 17 |
+
0.9977246871444824,
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| 18 |
+
0.9977246871444824,
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| 19 |
+
1.0
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| 20 |
+
],
|
| 21 |
+
"x_min": 0.384765625,
|
| 22 |
+
"x_max": 0.80859375,
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| 23 |
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"out_of_bounds": "clip",
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| 24 |
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"y_min": 0.0,
|
| 25 |
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"y_max": 1.0
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| 26 |
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}
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config.json
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{
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| 2 |
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"schema_version": "ingestion_model_v1",
|
| 3 |
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"backbone": "answerdotai/ModernBERT-large",
|
| 4 |
+
"backbone_type": "modernbert",
|
| 5 |
+
"weights_dtype": "bf16",
|
| 6 |
+
"hidden_size": 1024,
|
| 7 |
+
"max_position_embeddings": 8192,
|
| 8 |
+
"vocab_size": 50368,
|
| 9 |
+
"pad_token_id": 50283,
|
| 10 |
+
"cls_token_id": 50281,
|
| 11 |
+
"sep_token_id": 50282,
|
| 12 |
+
"trained_args": {
|
| 13 |
+
"backbone": "answerdotai/ModernBERT-large",
|
| 14 |
+
"train_file": "data/bakeoff/splits/span_slot.train.jsonl",
|
| 15 |
+
"val_file": "data/bakeoff/splits/span_slot.val.jsonl",
|
| 16 |
+
"out_dir": "models/phase2/modernbert-large-mh-span",
|
| 17 |
+
"summary": "runs/phase2/modernbert-large-mh-span/summary.json",
|
| 18 |
+
"max_length": 512,
|
| 19 |
+
"batch_size": 16,
|
| 20 |
+
"eval_batch_size": 32,
|
| 21 |
+
"lr": 3e-05,
|
| 22 |
+
"warmup_steps": 300,
|
| 23 |
+
"max_steps": 5000,
|
| 24 |
+
"eval_every": 1000,
|
| 25 |
+
"seed": 42,
|
| 26 |
+
"precision": "bf16",
|
| 27 |
+
"max_train_rows": null,
|
| 28 |
+
"subsample_abstain": null
|
| 29 |
+
},
|
| 30 |
+
"trained_steps": 5000,
|
| 31 |
+
"eval_at_save": {
|
| 32 |
+
"n": 13179,
|
| 33 |
+
"claim_precision": 0.9758007117437723,
|
| 34 |
+
"claim_recall": 0.961767800771659,
|
| 35 |
+
"claim_accuracy": 0.9865695424539039,
|
| 36 |
+
"false_emission_rate": 0.006584043377226956,
|
| 37 |
+
"tp": 2742,
|
| 38 |
+
"fp": 68,
|
| 39 |
+
"fn": 109,
|
| 40 |
+
"tn": 10260,
|
| 41 |
+
"predicate_accuracy": 0.9772009821115398,
|
| 42 |
+
"subject_type_accuracy": 0.9950894423009471,
|
| 43 |
+
"confidence_mae": 0.023038378998673784,
|
| 44 |
+
"span_token_iou": 0.9711311681571608,
|
| 45 |
+
"span_exact_match": 0.9013883944464223,
|
| 46 |
+
"span_seen": 2809,
|
| 47 |
+
"predicate_recall_by_class": {
|
| 48 |
+
"decided": 0.7777777777777778,
|
| 49 |
+
"blocked_by": 0.9692307692307692,
|
| 50 |
+
"has_next_action": 0.9215686274509803,
|
| 51 |
+
"has_status": 1.0,
|
| 52 |
+
"has_goal": 0.9938524590163934,
|
| 53 |
+
"touched_file": 0.985594237695078,
|
| 54 |
+
"ran_command": 1.0,
|
| 55 |
+
"has_constraint": 0.9733520336605891,
|
| 56 |
+
"has_open_question": 0.9681818181818181,
|
| 57 |
+
"has_quality_finding": 0.9090909090909091,
|
| 58 |
+
"created_file": 0.9701492537313433
|
| 59 |
+
},
|
| 60 |
+
"claim_f1": 0.9687334393216747
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| 61 |
+
},
|
| 62 |
+
"heads": {
|
| 63 |
+
"claim_present": {
|
| 64 |
+
"kind": "linear",
|
| 65 |
+
"out": 1,
|
| 66 |
+
"pool": "cls"
|
| 67 |
+
},
|
| 68 |
+
"predicate": {
|
| 69 |
+
"kind": "linear",
|
| 70 |
+
"out": 21,
|
| 71 |
+
"pool": "cls"
|
| 72 |
+
},
|
| 73 |
+
"subject_type": {
|
| 74 |
+
"kind": "linear",
|
| 75 |
+
"out": 13,
|
| 76 |
+
"pool": "cls"
|
| 77 |
+
},
|
| 78 |
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"confidence": {
|
| 79 |
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"kind": "linear",
|
| 80 |
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"out": 1,
|
| 81 |
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"pool": "cls",
|
| 82 |
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"activation": "sigmoid"
|
| 83 |
+
},
|
| 84 |
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"span": {
|
| 85 |
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"kind": "linear",
|
| 86 |
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"out": 2,
|
| 87 |
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"pool": "per_token",
|
| 88 |
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"interpretation": "start/end logits; softmax over seq"
|
| 89 |
+
}
|
| 90 |
+
},
|
| 91 |
+
"role_prefix": "required: '[USER] ', '[ASSISTANT] ', '[TOOL_RESULT] ' prepended to blurb text before tokenization",
|
| 92 |
+
"max_length": 512
|
| 93 |
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:cfe23736fb7afda1cf325401b1ae5dd73d5b19729cb9d7bfef13aef48df015a2
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| 3 |
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size 789661668
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spec.json
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "ingestion_model_v1",
|
| 3 |
+
"predicates": [
|
| 4 |
+
"validated_by",
|
| 5 |
+
"had_outcome",
|
| 6 |
+
"failed_because",
|
| 7 |
+
"worked_because",
|
| 8 |
+
"decided",
|
| 9 |
+
"blocked_by",
|
| 10 |
+
"has_next_action",
|
| 11 |
+
"has_status",
|
| 12 |
+
"has_goal",
|
| 13 |
+
"touched_file",
|
| 14 |
+
"ran_command",
|
| 15 |
+
"logged_event",
|
| 16 |
+
"has_constraint",
|
| 17 |
+
"has_open_question",
|
| 18 |
+
"has_quality_finding",
|
| 19 |
+
"reverted_file",
|
| 20 |
+
"deleted_file",
|
| 21 |
+
"created_file",
|
| 22 |
+
"committed",
|
| 23 |
+
"deployed",
|
| 24 |
+
"incident_observed"
|
| 25 |
+
],
|
| 26 |
+
"class_s": [
|
| 27 |
+
"blocked_by",
|
| 28 |
+
"decided",
|
| 29 |
+
"failed_because",
|
| 30 |
+
"had_outcome",
|
| 31 |
+
"has_goal",
|
| 32 |
+
"has_next_action",
|
| 33 |
+
"has_status",
|
| 34 |
+
"validated_by",
|
| 35 |
+
"worked_because"
|
| 36 |
+
],
|
| 37 |
+
"class_e": [
|
| 38 |
+
"touched_file",
|
| 39 |
+
"ran_command",
|
| 40 |
+
"logged_event",
|
| 41 |
+
"has_constraint",
|
| 42 |
+
"has_open_question",
|
| 43 |
+
"has_quality_finding",
|
| 44 |
+
"reverted_file",
|
| 45 |
+
"deleted_file",
|
| 46 |
+
"created_file",
|
| 47 |
+
"committed",
|
| 48 |
+
"deployed",
|
| 49 |
+
"incident_observed"
|
| 50 |
+
],
|
| 51 |
+
"subject_types": [
|
| 52 |
+
"objective",
|
| 53 |
+
"command",
|
| 54 |
+
"file",
|
| 55 |
+
"pr",
|
| 56 |
+
"incident",
|
| 57 |
+
"policy",
|
| 58 |
+
"person",
|
| 59 |
+
"repo",
|
| 60 |
+
"team",
|
| 61 |
+
"service",
|
| 62 |
+
"document",
|
| 63 |
+
"ticket",
|
| 64 |
+
"thread"
|
| 65 |
+
],
|
| 66 |
+
"deferred_predicates_never_emit": [
|
| 67 |
+
"has_current_input",
|
| 68 |
+
"has_phase"
|
| 69 |
+
],
|
| 70 |
+
"required_literal_fields": {
|
| 71 |
+
"status": "candidate",
|
| 72 |
+
"source_authority": "model_draft",
|
| 73 |
+
"extraction_method": "ingestion_model_v1"
|
| 74 |
+
},
|
| 75 |
+
"thresholds": {
|
| 76 |
+
"claim_present_default": 0.5,
|
| 77 |
+
"low_confidence_band": [
|
| 78 |
+
0.5,
|
| 79 |
+
0.7
|
| 80 |
+
],
|
| 81 |
+
"low_confidence_flag": "qualifiers.low_confidence = true",
|
| 82 |
+
"below_low_confidence_drop": 0.5
|
| 83 |
+
},
|
| 84 |
+
"object_value_shapes": {
|
| 85 |
+
"validated_by / had_outcome / failed_because / worked_because": {
|
| 86 |
+
"command": "str",
|
| 87 |
+
"success": "bool",
|
| 88 |
+
"outcome_polarity": "positive | negative",
|
| 89 |
+
"detail": "str (optional)"
|
| 90 |
+
},
|
| 91 |
+
"decided": {
|
| 92 |
+
"decision_topic": "str (slug)",
|
| 93 |
+
"decision": "str",
|
| 94 |
+
"rationale": "str (optional)"
|
| 95 |
+
},
|
| 96 |
+
"blocked_by": {
|
| 97 |
+
"blocker": "str",
|
| 98 |
+
"text": "str"
|
| 99 |
+
},
|
| 100 |
+
"has_next_action / has_status / has_goal": {
|
| 101 |
+
"value": "str",
|
| 102 |
+
"text": "str"
|
| 103 |
+
},
|
| 104 |
+
"touched_file / reverted_file / deleted_file / created_file": {
|
| 105 |
+
"path": "str",
|
| 106 |
+
"kind": "modified | created | deleted | reverted"
|
| 107 |
+
},
|
| 108 |
+
"ran_command": {
|
| 109 |
+
"command": "str",
|
| 110 |
+
"exit_code": "int",
|
| 111 |
+
"detail": "str"
|
| 112 |
+
},
|
| 113 |
+
"logged_event": {
|
| 114 |
+
"event": "str",
|
| 115 |
+
"detail": "str"
|
| 116 |
+
},
|
| 117 |
+
"has_constraint / has_open_question / has_quality_finding": {
|
| 118 |
+
"text": "str"
|
| 119 |
+
},
|
| 120 |
+
"committed": {
|
| 121 |
+
"commit": "str",
|
| 122 |
+
"message": "str"
|
| 123 |
+
},
|
| 124 |
+
"deployed": {
|
| 125 |
+
"target": "str",
|
| 126 |
+
"detail": "str"
|
| 127 |
+
},
|
| 128 |
+
"incident_observed": {
|
| 129 |
+
"incident": "str",
|
| 130 |
+
"detail": "str"
|
| 131 |
+
}
|
| 132 |
+
}
|
| 133 |
+
}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"cls_token": {
|
| 3 |
+
"content": "[CLS]",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"mask_token": {
|
| 10 |
+
"content": "[MASK]",
|
| 11 |
+
"lstrip": true,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "[PAD]",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"sep_token": {
|
| 24 |
+
"content": "[SEP]",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
},
|
| 30 |
+
"unk_token": {
|
| 31 |
+
"content": "[UNK]",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false
|
| 36 |
+
}
|
| 37 |
+
}
|
tensor_index.json
ADDED
|
@@ -0,0 +1,1200 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
| 1 |
+
{
|
| 2 |
+
"backbone.model.embeddings.tok_embeddings.weight": {
|
| 3 |
+
"shape": [
|
| 4 |
+
50368,
|
| 5 |
+
1024
|
| 6 |
+
],
|
| 7 |
+
"dtype": "bfloat16"
|
| 8 |
+
},
|
| 9 |
+
"backbone.model.embeddings.norm.weight": {
|
| 10 |
+
"shape": [
|
| 11 |
+
1024
|
| 12 |
+
],
|
| 13 |
+
"dtype": "bfloat16"
|
| 14 |
+
},
|
| 15 |
+
"backbone.model.layers.0.attn.Wqkv.weight": {
|
| 16 |
+
"shape": [
|
| 17 |
+
3072,
|
| 18 |
+
1024
|
| 19 |
+
],
|
| 20 |
+
"dtype": "bfloat16"
|
| 21 |
+
},
|
| 22 |
+
"backbone.model.layers.0.attn.Wo.weight": {
|
| 23 |
+
"shape": [
|
| 24 |
+
1024,
|
| 25 |
+
1024
|
| 26 |
+
],
|
| 27 |
+
"dtype": "bfloat16"
|
| 28 |
+
},
|
| 29 |
+
"backbone.model.layers.0.mlp_norm.weight": {
|
| 30 |
+
"shape": [
|
| 31 |
+
1024
|
| 32 |
+
],
|
| 33 |
+
"dtype": "bfloat16"
|
| 34 |
+
},
|
| 35 |
+
"backbone.model.layers.0.mlp.Wi.weight": {
|
| 36 |
+
"shape": [
|
| 37 |
+
5248,
|
| 38 |
+
1024
|
| 39 |
+
],
|
| 40 |
+
"dtype": "bfloat16"
|
| 41 |
+
},
|
| 42 |
+
"backbone.model.layers.0.mlp.Wo.weight": {
|
| 43 |
+
"shape": [
|
| 44 |
+
1024,
|
| 45 |
+
2624
|
| 46 |
+
],
|
| 47 |
+
"dtype": "bfloat16"
|
| 48 |
+
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|
| 1199 |
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|
| 1200 |
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}
|
tokenizer.json
ADDED
|
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|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,944 @@
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| 1 |
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{
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| 2 |
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| 18 |
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| 22 |
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| 23 |
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| 25 |
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| 26 |
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| 30 |
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|
| 36 |
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| 37 |
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| 38 |
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| 39 |
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| 50 |
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| 70 |
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| 77 |
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| 78 |
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| 80 |
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| 82 |
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| 105 |
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| 106 |
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