Evaluation
The model was evaluated on GSM8K benchmarks.
Accuracy
Reproduction
The GSM8K result was obtained using the lm-evaluation-harness framework, based on the Docker image rocm/vllm-dev:nightly_main_20260603.
Install the lm-eval (Version: 0.4.12) in container first.
Evaluating model in a new terminal
export VLLM_ALLOW_LONG_MAX_MODEL_LEN=1
export CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
lm_eval --model vllm
--model_args pretrained=amd/Qwen3.5-397B-A17B-NVFP4,tensor_parallel_size=8,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.