Add TOPLOC honest-noise calibration storage/dispatch and validator divergence reporting for AH-021. Add opt-in HuggingFace marketplace pricing refresh, price-change history, CLI flags, and AH-023 tracking docs. Verification: .venv/bin/python -m pytest tests/ -q -k 'not integration' => 346 passed, 2 skipped, 1 deselected; compileall packages tests passed; focused AH-021/AH-023 tests 32 passed.
44 lines
1.4 KiB
JSON
44 lines
1.4 KiB
JSON
{
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"models": {
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"kimi-k2.7": {
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"layers_start": 0,
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"layers_end": 60,
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"hf_repo": "unsloth/Kimi-K2.7-Code",
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"aliases": [
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"kimi-k2.7",
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"Kimi-K2.7-Code",
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"unsloth/Kimi-K2.7-Code"
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],
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"recommended": true,
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"deployment_status": "recommended",
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"hf_aliases": [],
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"hf_verified_match_note": "Pending human curation (issue 23) — no HF inference-marketplace listing has been confirmed as a comparable params/quantization match for this preset yet. Leave empty until a human signs off; an empty hf_aliases list keeps this model on the static default price.",
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"required_model_bytes": 638876385280,
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"download_size_bytes": 638876385280,
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"native_quantization": "int4",
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"canonical_audit_dtype": "bfloat16",
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"canonical_audit_quantization": "bfloat16",
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"bytes_per_layer": {
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"int4": 10473383366
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},
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"metadata": {
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"architecture": "Mixture-of-Experts (MoE)",
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"total_parameters": "1T",
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"activated_parameters": "32B",
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"num_layers": 61,
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"context_length": 256000,
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"native_quantization": "int4",
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"canonical_audit_dtype": "bfloat16",
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"canonical_audit_quantization": "bfloat16",
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"download_size_gb": 595,
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"recommended_short_name": "kimi-k2.7",
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"recommended_engines": [
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"vLLM",
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"SGLang",
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"KTransformers"
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]
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}
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}
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}
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}
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