Alibaba/Qwen · open-weights model
Qwen3-8B
Qwen3-8B is a 8.2B-parameter model by Alibaba/Qwen. Its smallest quant (Q4_K_M) needs at least 6.7GB of GPU-addressable memory at 8K context; it loads cleanly at a quality quant on 50 of the 50 machines we track.
- Parameters
- 8.2B
- Layers
- 36
- Max context
- 40K
- Attention
- GQA
- License
- apache-2.0
Config from Qwen/Qwen3-8B
Quants and what they need
Measured file sizes; “needs” = weights + KV cache at 8K context + overhead.
| Quant | File size | Needs ≥ |
|---|---|---|
| Q8_0 | 8.7 GB | 10.4 GB |
| Q6_K | 6.7 GB | 8.4 GB |
| Q5_K_M | 5.8 GB | 7.5 GB |
| Q4_K_M | 5.0 GB | 6.7 GB |
What runs Qwen3-8B
Every machine we track, graded at its best clean-fit quant.
Verdicts computed from published specs and measured GGUF sizes — how the math works.