Quantized with AutoAWQ v0.2.8 and transformers v4.49.0.
Example run:
docker run --rm --runtime nvidia --gpus 'all' --ipc=host -e VLLM_WORKER_MULTIPROC_METHOD=spawn -e 'HF_TOKEN' -v '/root/.cache/huggingface:/root/.cache/huggingface' -p 127.0.0.1:8000:8000 "vllm/vllm-openai:v0.7.3" --tensor-parallel-size 4 --enable-chunked-prefill=False --enable-reasoning --reasoning-parser deepseek_r1 --model 'ig1/r1-1776-AWQ' --trust-remote-code --dtype half --served-model-name "R1 1776" --max-model-len 65536 --override-generation-config '{"temperature":0.6,"top_p":0.95}'
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