With 12 GB of VRAM, the Arc B580 runs Qwen2.5 7B Instruct at Q4_K_M entirely on the GPU with an 8K context (about 5.9 GB needed). At Q8_0 it fits entirely.
Q4_K_M · 8K context
The model needs about 5.9 GB and fits in the 11.6 GB available, with 5.7 GB to spare.
~5.9 GB (5.5 GB–6.4 GB) needed · estimate
Fits entirely in VRAM · 5.7 GB left
EstimateData updated 24 days agoSource: Run LLM Locally engine, Hugging Face config.json + model card
What makes this estimate less reliable
| Qwen2.5 7B Instruct Q8_08K~9.3 GB · 21–32 tok/s estimate | Excellent |
|---|---|
| Qwen2.5 7B Instruct Q6_K8K~7.5 GB · 26–41 tok/s estimate | Excellent |
| Qwen2.5 7B Instruct Q5_K_M8K~6.7 GB · 30–47 tok/s estimate | Excellent |
| Qwen2.5 7B Instruct Q4_K_M8K~5.9 GB · 35–55 tok/s estimate | Excellent |
| Qwen2.5 7B Instruct IQ4_XS8K~5.5 GB · 38–60 tok/s estimate | Excellent |
| Qwen2.5 7B Instruct Q3_K_M8K~5.1 GB · 42–67 tok/s estimate | Excellent |
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12 GB GDDR6 · 456 GB/s · 190 W
ExcellentRuns Qwen2.5 7B Instruct Q4_K_M entirely in memory
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