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cd Quark/examples/torch/language_modeling/llm_ptq/
export exclude_layers="lm_head *self_attn* *mlp.gate"
python3 quantize_quark.py --model_dir $MODEL_DIR \
--quant_scheme mxfp4 \
--num_calib_data 128 \
--exclude_layers $exclude_layers \
--skip_evaluation \
--multi_gpu \
--trust_remote_code \
--model_export hf_format \
--output_dir $output_dir| Benchmark | Qwen/Qwen3-Coder-480B-A35B-Instruct | amd/Qwen3-Coder-480B-A35B-Instruct-MXFP4(this model) | Recovery |
| gsm8k (flexible-extract) | 0.8893 | 0.8954 | 100% |
rocm/vllm:rocm7.0.0_vllm_0.11.2_20251210, and vLLM is installed from source inside the container.# Reinstall vLLM
pip uninstall vllm -y
git clone https://github.com/vllm-project/vllm.git
cd vllm
git checkout v0.13.0
pip install -r requirements/rocm.txt
python setup.py develop
cd ..VLLM_ROCM_USE_AITER=1 \
VLLM_DISABLE_COMPILE_CACHE=1 \
vllm serve "$MODEL" \
--tensor-parallel-size 4 \
--trust-remote-code \
--max-model-len 32768 \
--port 8899 python vllm/tests/evals/gsm8k/gsm8k_eval.py --host http://127.0.0.1 --port 8899 --num-questions 1000 --save-results logs