| { |
| "schema": "posttrainllm.specialist.lock.v1", |
| "id": "pace-intent-router-v8", |
| "artifact_type": "tinygpt_checkpoint", |
| "local_path": "runs/pace-intent-router-v8.tinygpt", |
| "public_uri": null, |
| "storage": { |
| "primary": "local_runs_directory", |
| "status": "local-only", |
| "large_weights_published": false, |
| "r2": "not-applicable" |
| }, |
| "base_model": { |
| "id": "posttrainllm-ToolRouterModel-small", |
| "preset": "small", |
| "architecture": "ToolRouterModel", |
| "precision": "float32", |
| "layers": 6, |
| "d_model": 384, |
| "vocab_size": 256, |
| "context_length": 128 |
| }, |
| "compatibility": { |
| "posttrainllm_serve": true, |
| "posttrainllm_sample": true, |
| "mlx_lm": false, |
| "browser_playground": false, |
| "pace_app_integration": false |
| }, |
| "files": [ |
| { |
| "path": "runs/pace-intent-router-v8.tinygpt", |
| "bytes": 593498112, |
| "role": "model_checkpoint" |
| }, |
| { |
| "path": "runs/pace-intent-router-v8.tinygpt.labels.json", |
| "bytes": 200, |
| "role": "label_map" |
| } |
| ], |
| "training": { |
| "method": "train-extractor", |
| "steps": 18000, |
| "batch_size": 32, |
| "learning_rate": 0.0003, |
| "warmup_steps": 100, |
| "val_split": 0.05, |
| "val_every": 100, |
| "seed": 42, |
| "train_rows": 112061, |
| "heldout_rows": 14995, |
| "classes": [ |
| "chitchat", |
| "phoneLargeModel", |
| "pureKnowledge", |
| "research", |
| "screenAction", |
| "screenDescription", |
| "unknown" |
| ], |
| "data_source": "pace/scripts/generate-intent-corpus-v2.py + generate-intent-supplement-v2.py", |
| "data_type": "fully_synthetic" |
| }, |
| "package_files": { |
| "model_card": "model_card.md", |
| "prompt": "prompt.md", |
| "eval_report": "eval_report.json", |
| "loader": "mlx_load.py" |
| }, |
| "notes": [ |
| "Local-only artifact — not published to Hugging Face Hub.", |
| "Use posttrainllm serve or posttrainllm sample to run inference.", |
| "Not wired into the Pace shipping app — Apple FM is the production classifier.", |
| "The v5 checkpoint (12000 steps) slightly outperforms v8 on overall accuracy but v8 has better unknown-class recall." |
| ] |
| } |
|
|
