With 80 GB of VRAM, the A100 80GB 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 77.6 GB available, with 71.7 GB to spare.
~5.9 GB (5.5 GB–6.3 GB) needed · estimate
Fits entirely in VRAM · 71.7 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~9.2 GB · 138–203 tok/s estimate | Excellent |
|---|---|
| Qwen2.5 7B Instruct Q6_K8K~7.4 GB · 166–253 tok/s estimate | Excellent |
| Qwen2.5 7B Instruct Q5_K_M8K~6.6 GB · 183–283 tok/s estimate | Excellent |
| Qwen2.5 7B Instruct Q4_K_M8K~5.9 GB · 201–319 tok/s estimate | Excellent |
| Qwen2.5 7B Instruct IQ4_XS8K~5.5 GB · 215–346 tok/s estimate | Excellent |
| Qwen2.5 7B Instruct Q3_K_M8K~5.1 GB · 228–374 tok/s estimate | Excellent |
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NVIDIA
ExcellentRuns Qwen2.5 7B Instruct Q4_K_M entirely in memory
AMD
ExcellentRuns Qwen2.5 7B Instruct Q4_K_M entirely in memory
Unified memory PC
ExcellentRuns Qwen2.5 7B Instruct Q4_K_M entirely in memory
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