biondizzle
b04bff7e8b
Dockerfile: - Removed: C++ CUTLASS extension build, TileLang install, CUTLASS clone - Added: nvidia-cutlass-dsl==4.5.0 install, cutedsl/ copy - Copy nvfp4_cutedsl.py to vllm models dir - Verify step checks cutlass import docker-compose.yml: - Removed stale env vars (MEGA_MOE_DEBUG, MEGA_MOE_STATIC, etc.) deepseek_v4.py: - Fix import: vllm.nvfp4_cutedsl → vllm.model_executor.models.nvfp4_cutedsl README.md: - Updated results: 0% weight loss confirmed (bit-identical view-cast) - 1.1% cosine loss is entirely from activation quantization
30 lines
677 B
YAML
30 lines
677 B
YAML
services:
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vllm:
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build:
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context: .
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dockerfile: Dockerfile
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ports:
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- "8000:8000"
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environment:
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- OMP_NUM_THREADS=128
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- CUDA_LAUNCH_BLOCKING=0
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- TORCH_SHOW_CPP_STACKTRACES=0
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command:
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- /model
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- --trust-remote-code
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- --enable-expert-parallel
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- --tensor-parallel-size=8
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- --enforce-eager
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- --tokenizer-mode=deepseek_v4
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- --host=0.0.0.0
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- --port=8000
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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count: all
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capabilities: [gpu]
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volumes:
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- /root/nvidia-meeting/DeepSeek-V4-Pro-NVFP4:/model:ro
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