{
  "schema_version": 1,
  "repo_id": "Lottolabs/Qwen3.5-9B-TT-BFP4-P150",
  "status": "public experimental",
  "artifact_type": "TTNN quantized weight cache and custom runtime source overlay; not a standalone Transformers checkpoint",
  "license": "apache-2.0",
  "upstream": {
    "repo_id": "Qwen/Qwen3.5-9B",
    "revision": "c202236235762e1c871ad0ccb60c8ee5ba337b9a",
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      "LICENSE",
      "chat_template.jinja",
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      "tokenizer.json",
      "tokenizer_config.json",
      "video_preprocessor_config.json",
      "vocab.json"
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  "hardware": {
    "device": "Tenstorrent Blackhole P150",
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    "host_architecture": "linux/amd64",
    "host_driver_tested": "2.11.0",
    "firmware_bundle_tested": "19.13.2",
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    "dockerfile": "runtime/Dockerfile",
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    "Requires a P150 and the custom runtime; cannot be loaded directly with stock Transformers, stock vLLM CUDA, or llama.cpp.",
    "The unchanged loader still reads the pinned original checkpoint and derives some uncached tensors; this package does not remove that download or host-memory requirement.",
    "The 9.70 GB cache contains runtime-specific representations and mixed precisions; its size is not a uniform 4-bit parameter count.",
    "Sharded norms change numerical results relative to the earlier interleaved-norm configuration.",
    "MTP produced three distinct long-prompt completions across five identical temperature-zero runs; deterministic output and quality equivalence are not established.",
    "Measured speed is specific to hardware, runtime, MTP acceptance, prompt and output length. It is not a speed claim for quantization alone.",
    "Serving launcher exposes an unauthenticated API on the selected host port; use only on a trusted network or behind an authenticated proxy."
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    "python -m pip install huggingface_hub",
    "python qwen-tt/prepare.py --cache-root /absolute/path/cache",
    "docker build --platform linux/amd64 --build-arg BUILD_JOBS=16 -t qwen35-tt-bfp4:hf -f qwen-tt/runtime/Dockerfile qwen-tt/runtime",
    "python qwen-tt/serve.py --cache-root /absolute/path/cache --port 8000",
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