Alibaba/Qwen · open-weights model
Qwen3.6-27B
Qwen3.6-27B is a 27.8B-parameter model by Alibaba/Qwen. Its smallest quant (Q4_K_M) needs at least 19.5GB of GPU-addressable memory at 8K context; it loads cleanly at a quality quant on 20 of the 50 machines we track.
- Parameters
- 27.8B
- Layers
- 64
- Max context
- 256K
- Attention
- HYBRID
- License
- apache-2.0
Config from Qwen/Qwen3.6-27B
Quants and what they need
Measured file sizes; “needs” = weights + KV cache at 8K context + overhead.
| Quant | File size | Needs ≥ |
|---|---|---|
| Q8_0 | 28.6 GB | 31.3 GB |
| Q6_K | 22.5 GB | 25.2 GB |
| Q5_K_M | 19.5 GB | 22.2 GB |
| Q4_K_M | 16.8 GB | 19.5 GB |
What runs Qwen3.6-27B
Every machine we track, graded at its best clean-fit quant.
Verdicts computed from published specs and measured GGUF sizes — how the math works.