Running a 27B Qwen model on RTX 3060: full llama.cpp config hits 10-20 tok/s
SummarizedAnu · reddit · 2026-09-10
A Reddit user shares a complete, working llama.cpp setup for running a Qwen3.8-27B IQ3XXS quant (GSQ-RCO-MTP GGUF) on a 12GB RTX 3060:
- Performance: 10-20 tok/s generation, 334 tok/s prompt processing, with reasoning off and MTP speculative decoding (draft acceptance 0.41); the full model plus 64K KV cache still leaves 1GB VRAM free.
- Key flags: q40 KV cache quantization, --override-tensor pinning layers 10-16 to GPU, --spec-type draft-mtp, flash attention, and more — the full command line is posted.
- Links to a community guide for RTX 3060 deployment and offers troubleshooting help in the thread.
A concrete reference for anyone running 27B-class models locally on consumer GPUs.
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