A user on Reddit's r/LocalLLaMA shared their successful configuration for running the unsloth/Qwen3.6-27B-NVFP4 model using vLLM. They encountered Out-Of-Memory (OOM) errors and found that setting `MAX_JOBS=4` and `NVCC_THREADS=4` in their systemd service file resolved the issue for NVFP4 quants. The user also detailed their optimizations for maximum speed on a multi-GPU setup, including limiting GPU memory utilization and adjusting the speculative decoding configuration, achieving impressive token generation speeds. AI
IMPACT Provides practical configuration advice for optimizing local LLM inference performance.
RANK_REASON User-shared configuration and optimization tips for running a specific LLM model with specific software.
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