With 24 GB of VRAM, the Tesla P40 runs QwQ 32B at Q4_K_M entirely on the GPU with an 8K context (about 22.4 GB needed). At Q8_0 it does not fit in VRAM.
Q4_K_M · 8K context
The model needs about 22.4 GB and fits in the 23.3 GB available (0.9 GB left).
~22.4 GB (21.6 GB–23.2 GB) needed · estimate
Fits entirely in VRAM · 0.9 GB left
EstimateData updated 24 days agoSource: Run LLM Locally engine, Hugging Face config.json + model card
What makes this estimate less reliable
| QwQ 32B Q8_08K~37 GB · 1.3–2.5 tok/s estimate | Possible but slow |
|---|---|
| QwQ 32B Q6_K8K~29.3 GB · 2.5–4.5 tok/s estimate | Possible but slow |
| QwQ 32B Q5_K_M8K~25.7 GB · 4.5–8 tok/s estimate | CPU/GPU offload |
| QwQ 32B Q4_K_M8K~22.4 GB · 12–16 tok/s estimate | Compatible |
| QwQ 32B IQ4_XS8K~20.3 GB · 14–18 tok/s estimate | Compatible |
| QwQ 32B Q3_K_M8K~18.5 GB · 15–20 tok/s estimate | Excellent |
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AMD
CompatibleRuns QwQ 32B Q4_K_M entirely in memory
Apple Silicon
CompatibleRuns QwQ 32B Q4_K_M entirely in memory
Unified memory PC
CompatibleRuns QwQ 32B Q4_K_M entirely in memory
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