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Fix Qwen3 recipe and update autoquant example cmd #749

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Fix Qwen3 recipe and update autoquant example cmd #749

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2 changes: 1 addition & 1 deletion examples/llm_ptq/README.md
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Expand Up @@ -226,7 +226,7 @@ export HF_PATH=<the downloaded LLaMA checkpoint from the Hugging Face hub, or si
# --auto_quantize_bits specifies the constraint for `AutoQuantize`
# --quant specifies the formats to be searched for `AutoQuantize`
# NOTE: auto_quantize_bits cannot be lower than the number of bits for the smallest quantization format in --quant
scripts/huggingface_example.sh --type llama --model $HF_PATH --quant w4a8_awq,fp8 --auto_quantize_bits 4.8 --tp [1|2|4|8] --calib_batch_size 4
scripts/huggingface_example.sh --model $HF_PATH --quant w4a8_awq,fp8 --auto_quantize_bits 4.8 --calib_batch_size 4
```

The above example perform `AutoQuantize` where the less quantization accuracy sensitive layers are quantized with `w4a8_awq` (specified by `--quant w4a8_awq`) and the more sensitive layers
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12 changes: 6 additions & 6 deletions examples/llm_ptq/example_utils.py
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Expand Up @@ -180,12 +180,12 @@ def build_quant_cfg(
quant_cfg["quant_cfg"]["*image*"] = {"enable": False}
quant_cfg["quant_cfg"]["*vision*"] = {"enable": False}

if model_type in ["qwen3moe", "qwen3next"] and qformat == "nvfp4":
# Disable the attention projection layers to retain accuracy
quant_cfg["quant_cfg"]["model*.*attn*in_proj*"] = {"enable": False}
quant_cfg["quant_cfg"]["model*.*attn*q_proj*"] = {"enable": False}
quant_cfg["quant_cfg"]["model*.*attn*k_proj*"] = {"enable": False}
quant_cfg["quant_cfg"]["model*.*attn*v_proj*"] = {"enable": False}
if model_type in ["qwen3moe", "qwen3next"] and qformat == "nvfp4":
# Disable the attention projection layers to retain accuracy
quant_cfg["quant_cfg"]["model*.*attn*in_proj*"] = {"enable": False}
quant_cfg["quant_cfg"]["model*.*attn*q_proj*"] = {"enable": False}
quant_cfg["quant_cfg"]["model*.*attn*k_proj*"] = {"enable": False}
quant_cfg["quant_cfg"]["model*.*attn*v_proj*"] = {"enable": False}

return quant_cfg

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