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Cataloged from RedHatAI/Qwen3.8-2.4T-A95B-NVFP4-REAP-25
All models by RedHatAI →This is a quantized version of Qwen/Qwen3.8-2.4T-A95B with MoE layers quantized to NVFP4 and 25% uniform expert sparsity. The model was calibrated using 1024 samples from perfectblend.
This model is intended for deployment with vLLM. You can serve the model using
vllm serve RedHatAI/Qwen3.8-2.4T-A95B-NVFP4-REAP-25 \ --tensor-parallel-size 8 \ --enable-expert-parallel \ --reasoning-parser qwen3inspect eval hf/Idavidrein/gpqa/diamond \ --model vllm/RedHatAI/Qwen3.8-2.4T-A95B-NVFP4-REAP-25 \ --reasoning-effort xhigh \ --model-base-url http://localhost:8000/v1 \ -M client_timeout=2400 \ --token-limit 100000 \ --retry-on-error=2from inspect_ai import evalfrom inspect_ai.model import set_model_info, ModelInfo
set_model_info( "vllm/qwen_model", # model names with `-A` are badly sanitized through docker jobs ModelInfo( context_length=262144, reasoning=True, ),)
eval( "inspect_harbor/datacurve_deep_swe", model="vllm/qwen_model", reasoning_effort="xhigh", model_base_url="http://localhost:8000/v1", max_connections=8, retry_on_error=2,)