community pool / model answer
Qwen3.8-9B-Distill-GGUF
chat · empero-ai/Qwen3.8-9B-Distill-GGUF
58.1 tok/s · model median · 4 runs in the model record.
| Reference rig | Quantization | Median result | Basis | TTFT (ms) | Peak VRAM | Max context | Engines |
|---|---|---|---|---|---|---|---|
| RTX 2060 Super 8GB | 4-bit | 60.4 tok/s | reported | - | 5.4 GB | 8,192 | llama.cpp |
| RTX 2060 Super 8GB | 5-bit | 55.8 tok/s | reported | - | 6 GB | 8,192 | llama.cpp |
| RTX 2060 Super 8GB | 6-bit | 46.4 tok/s | reported | - | 6.7 GB | 8,192 | llama.cpp |
| RTX 3060 12GB | 4-bit | 76.4 tok/s | reported | 59 | - GB | 131,072 | llama.cpp |
Context tested
The table above is the tested context for each exact rig and quantization cell. Empty fields remain empty rather than being filled with an estimate.