Amd-Qwen3.5-35B-A3B-MXFP4

Model Overview

• Model Architecture: Qwen3_5MoeForConditionalGeneration
  • Input: Text
  • Output: Text
• Supported Hardware Microarchitecture: AMD MI300 MI350/MI355
• ROCm: 7.0.0
• PyTorch: 2.9.1
• Transformers: 5.3.0
• vLLM: 0.16.0rc2
• lm-evaluation-harness: 0.4.11
• Operating System(s): Linux
• Inference Engine: SGLang/vLLM
• Model Optimizer: AMD-Quark (v0.12)
  • Weight quantization: OCP MXFP4, Static
  • Activation quantization: OCP MXFP4, Dynamic

Model Quantization

The model was quantized from Qwen/Qwen3.5-35B-A3B-FP8 using AMD-Quark. The weights are quantized to MXFP4 and activations are quantized to MXFP4.

Quantization scripts:

cd Quark/examples/torch/language_modeling/llm_ptq/
export exclude_layers="lm_head model.visual.* mtp.* *mlp.gate *shared_expert_gate* *.linear_attn.* *.self_attn.* *.shared_expert.*"
python3 quantize_quark.py --model_dir Qwen/Qwen3.5-35B-A3B-FP8 \
                          --quant_scheme mxfp4 \
                          --file2file_quantization \
                          --exclude_layers $exclude_layers \
                          --output_dir amd/Qwen3.5-35B-A3B-MXFP4

For further details or issues, please refer to the AMD-Quark documentation or contact the respective developers.

Evaluation

The model was evaluated on gsm8k benchmarks using the vllm framework.

Accuracy

<table> <tr> <td><strong>Benchmark</strong> </td> <td><strong>Qwen/Qwen3.5-35B-A3B-FP8 </strong> </td> <td><strong>amd/Qwen3.5-35B-A3B-MXFP4(this model)</strong> </td> <td><strong>Recovery</strong> </td> </tr> <tr> <td>gsm8k (flexible-extract) </td> <td>89.39 </td> <td>93.25 </td> <td>104.32% </td> </tr> </table>

Reproduction

The GSM8K results were obtained using the vLLM framework, based on the Docker image [rocm/vllm-dev:nightly_main_20260211], and vLLM is installed inside the container.

docker pull rocm/vllm-dev:nightly_main_20260211

Evaluating model in a new terminal

lm_eval \
  --model vllm \
  --model_args pretrained=amd/Qwen3.5-35B-A3B-MXFP4,tensor_parallel_size=4,max_model_len=262144,gpu_memory_utilization=0.90,max_gen_toks=2048,trust_remote_code=True,reasoning_parser=qwen3 \
  --tasks gsm8k  --num_fewshot 5 \
  --batch_size auto

License

Modifications Copyright(c) 2026 Advanced Micro Devices, Inc. All rights reserved.