1 request, prose prompt, no speculative decoding Source
Local AI · Recipe · 1× RTX 3090
Qwen3.6 27B Q4_K_M with llama.cpp on 1× RTX 3090
Qwen3.6 27B Q4_K_M with llama.cpp on 1× RTX 3090: 50.3 tok/s according to github.com (dataset as of Nov 3, 2026).
by noonghunna
Engine
- Engine
- llama.cpp server-cuda-b9246
- Quantization
- GGUF Q4_K_M MTP
- Model family
- Qwen3.6
- Context
- 200,000
- Parameters
- 27B dense
- Creator
- noonghunna
- GitHub stars
- 2,471
- Repo updated
- Nov 2, 2026
Measurements
Every sourced value of this recipe, each with its condition and source. Bars relative to the largest value in the group.
Decode · 1 request
Prefill by context
What you need
- Hardware
- 1 × NVIDIA RTX 3090
- Weights
- Main weightsunsloth/Qwen3.6-27B-MTP-GGUF Apache-2.0
- Engine
- llama.cpp server-cuda-b9246
- Context
- 200,000 tokens
Related recipes
1 request, prose prompt, no speculative decoding Source
- License unclear
1 request, prose prompt, no speculative decoding Source
- License unclear
1 request, prose prompt, with MTP Source
1 request, prose prompt, with MTP (per recipe) Source
1 request, prose prompt, with MTP (per recipe) Source
Local AI in your company?
In a workshop we work out which models and which hardware fit your tasks, and build the first agent on your infrastructure.