With 80 GB of VRAM, the A100 80GB runs DeepSeek R1 Distill Llama 70B at Q4_K_M entirely on the GPU with an 8K context (about 45.1 GB needed). At Q8_0 it fits entirely.
Q4_K_M · 8K context
The model needs about 45.1 GB and fits in the 77.6 GB available, with 32.5 GB to spare.
~45.1 GB (43.9 GB–46.3 GB) needed · estimate
Fits entirely in VRAM · 32.5 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 70B Q8_08K~76.8 GB · 18–24 tok/s estimate | Compatible with limits |
|---|---|
| DeepSeek R1 Distill Llama 70B Q6_K8K~60.1 GB · 23–31 tok/s estimate | Excellent |
| DeepSeek R1 Distill Llama 70B Q5_K_M8K~52.3 GB · 26–35 tok/s estimate | Excellent |
| DeepSeek R1 Distill Llama 70B Q4_K_M8K~45.1 GB · 29–41 tok/s estimate | Excellent |
| DeepSeek R1 Distill Llama 70B IQ4_XS8K~40.6 GB · 32–45 tok/s estimate | Excellent |
| DeepSeek R1 Distill Llama 70B Q3_K_M8K~37 GB · 35–49 tok/s estimate | Excellent |
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NVIDIA
CompatibleRuns DeepSeek R1 Distill Llama 70B Q4_K_M entirely in memory
AMD
CompatibleRuns DeepSeek R1 Distill Llama 70B Q4_K_M entirely in memory
Unified memory PC
CompatibleRuns DeepSeek R1 Distill Llama 70B Q4_K_M entirely in memory
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