With 80 GB of VRAM, the A100 80GB runs DeepSeek R1 Distill Llama 8B at Q4_K_M entirely on the GPU with an 8K context (about 6.7 GB needed). At Q8_0 it fits entirely.
Q4_K_M · 8K context
The model needs about 6.7 GB and fits in the 77.6 GB available, with 70.9 GB to spare.
~6.7 GB (6.2 GB–7.1 GB) needed · estimate
Fits entirely in VRAM · 70.9 GB left
EstimateData updated 24 days agoSource: Run LLM Locally engine, Hugging Face config.json + model card
What makes this estimate less reliable
| DeepSeek R1 Distill Llama 8B Q8_08K~10.2 GB · 125–186 tok/s estimate | Excellent |
|---|---|
| DeepSeek R1 Distill Llama 8B Q6_K8K~8.3 GB · 150–229 tok/s estimate | Excellent |
| DeepSeek R1 Distill Llama 8B Q5_K_M8K~7.5 GB · 164–255 tok/s estimate | Excellent |
| DeepSeek R1 Distill Llama 8B Q4_K_M8K~6.7 GB · 180–286 tok/s estimate | Excellent |
| DeepSeek R1 Distill Llama 8B IQ4_XS8K~6.2 GB · 190–308 tok/s estimate | Excellent |
| DeepSeek R1 Distill Llama 8B Q3_K_M8K~5.8 GB · 201–331 tok/s estimate | Excellent |
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NVIDIA
CompatibleRuns DeepSeek R1 Distill Llama 8B Q4_K_M entirely in memory
AMD
ExcellentRuns DeepSeek R1 Distill Llama 8B Q4_K_M entirely in memory
Unified memory PC
ExcellentRuns DeepSeek R1 Distill Llama 8B Q4_K_M entirely in memory
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