Model Overview

  • Model Architecture: GLM-4.7
    • Input: Text
    • Output: Text
  • Supported Hardware Microarchitecture: AMD MI350/MI355
  • ROCm: 7.0
  • Operating System(s): Linux
  • Inference Engine: vLLM
  • Model Optimizer: AMD-Quark (V0.11.1)
    • moe
      • Weight quantization: MOE-only, OCP MXFP4, Static
      • Activation quantization: MOE-only, OCP MXFP4, Dynamic
  • Calibration Dataset: Pile

This model was built with GLM-4.7 model by applying AMD-Quark for MXFP4 quantization.

Model Quantization

The model was quantized from zai-org/GLM-4.7 using AMD-Quark. The weights and activations are quantized to MXFP4.

Quantization scripts:

export CUDA_VISIBLE_DEVICES=0,1,2,3
export MODEL_DIR=zai-org/GLM-4.7
export output_dir=amd/GLM-4.7-MXFP4

exclude_layers="*self_attn* *mlp.gate lm_head *mlp.gate_proj *mlp.up_proj *mlp.down_proj *shared_experts.*"
python3 quantize_quark.py --model_dir $MODEL_DIR \
                          --quant_scheme mxfp4 \
                          --num_calib_data 128 \
                          --exclude_layers $exclude_layers \
                          --model_export hf_format \
                          --output_dir $output_dir \
                          --multi_gpu

Deployment

Use with vLLM

This model can be deployed efficiently using the vLLM backend.

Evaluation

The model was evaluated on GSM8K benchmarks.

Accuracy

Benchmark GLM-4.7 GLM-4.7-MXFP4(this model) Recovery
GSM8K (strict-match) 94.16 93.63 99.44%

Reproduction

The GSM8K results were obtained using the lm-evaluation-harness framework, based on the Docker image rocm/vllm-private:vllm_dev_base_mxfp4_20260122, with vLLM, lm-eval compiled and installed from source inside the image. The Docker image contains the necessary vLLM code modifications to support this model.

Launching server

vllm serve amd/GLM-4.7-MXFP4 \
    --tensor-parallel-size 4 \
    --tool-call-parser glm47 \
    --reasoning-parser glm45 \
    --enable-auto-tool-choice

Evaluating model in a new terminal

lm_eval \
  --model local-completions \
  --model_args "model=amd/GLM-4.7-MXFP4,base_url=http://0.0.0.0:8000/v1/completions,tokenized_requests=False,tokenizer_backend=None,num_concurrent=32" \
  --tasks gsm8k \
  --num_fewshot 5 \
  --batch_size 1

License

Modifications Copyright(c) 2025 Advanced Micro Devices, Inc. All rights reserved.

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