Add detailed quantization environment to model card

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  1. README.md +16 -0
README.md CHANGED
@@ -52,6 +52,22 @@ python3 quantize_quark.py \
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  No calibration dataset is required for this file-to-file quantization path.
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  ### vLLM Loading Note
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  When using this FP8 Eagle3 checkpoint as a vLLM draft model, make sure the exported `config.json` records the excluded layers as regex patterns. If Quark exports:
 
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  No calibration dataset is required for this file-to-file quantization path.
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+ ### Quantization Environment
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+ Quantization was run on a single AMD GPU (ROCm) using the following software stack:
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+ | Component | Version |
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+ | --- | --- |
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+ | OS | Linux (x86_64) |
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+ | Python | 3.11 |
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+ | PyTorch | 2.9.0 (ROCm 6.4 build) |
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+ | `pytorch-triton-rocm` | 3.5.0 |
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+ | Transformers | 4.57.1 |
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+ | `huggingface_hub` | 0.36.0 |
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+ | `accelerate` | 1.11.0 |
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+ | `safetensors` | 0.6.2 |
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+ | `datasets` | 3.6.0 |
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  ### vLLM Loading Note
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  When using this FP8 Eagle3 checkpoint as a vLLM draft model, make sure the exported `config.json` records the excluded layers as regex patterns. If Quark exports: