File size: 2,132 Bytes
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"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."
]
}
|