Qwen3.6 Q6 quantization makes local coding agents viable on dual 3090s
Moving from Q4 to Q6 delivers production-grade quality at 20–50 tokens/sec
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Deep Dive
A Reddit user reports switching from Ollama to llama.cpp's built-in server, noting outstanding quality improvement from Q4 to Q6 quantization. On a dual RTX 3090 setup (undervolted, limited to 65°C), the model generates 20–50 tokens per second with minimal heat. Multi-token prediction (MTP) provides a big performance gain, making local coding agents finally work.
Key Points
- Transition from Ollama to llama.cpp server improved reliability and performance
- Q6 quantization of Qwen3.6 delivers near-API quality for coding, versus Q4's lower fidelity
- Dual RTX 3090 (undervolted, 65°C) achieves 20–50 t/s with MTP enabled, minimal heat
Why It Matters
Local coding agents become practical—cutting API costs while keeping sensitive code private on consumer GPUs.