1 request, prose prompt, no speculative decoding Source
Local AI · Recipe · 2× RTX 3090
Qwen3.6 27B Q4_K_M with llama.cpp on 2× RTX 3090
Qwen3.6 27B Q4_K_M with llama.cpp on 2× RTX 3090: 65.3 tok/s according to github.com (dataset as of Nov 3, 2026).
by alesha-pro
Engine
- Engine
- llama.cpp mainline build 10013 (a4ce2595c)
- Quantization
- GGUF Q4_K_M + q4_0 KV
- Model family
- Qwen3.6
- Context
- 262,144
- Parameters
- 27B dense
- Creator
- alesha-pro
- GitHub stars
- 0
- Repo updated
- Aug 4, 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
- 2 × NVIDIA RTX 3090
- Weights
- Main weightsunsloth/Qwen3.6-27B-MTP-GGUF Apache-2.0
- Engine
- llama.cpp mainline build 10013 (a4ce2595c)
- Context
- 262,144 tokens
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