Mixtral 8x7B Instruct at Q4_K_M needs about 27.5 GB, more than the 24 GB of the RTX 4090: part of the model runs from system RAM, which slows generation. At Q3_K_M it fits entirely.
Q4_K_M · 8K context
The model needs about 27.5 GB but only 23.3 GB of VRAM is usable: 4.2 GB must be loaded into system RAM. It runs, 85% on the GPU, but more slowly.
~27.5 GB (26.8 GB–28.3 GB) needed · estimate
4.2 GB must be offloaded to system RAM
EstimateData updated 24 days agoSource: Run LLM Locally engine, Hugging Face config.json + model card
What makes this estimate less reliable
| Mixtral 8x7B Instruct Q8_08K~50.2 GB · 2.5–5 tok/s estimate | Possible but slow |
|---|---|
| Mixtral 8x7B Instruct Q6_K8K~39.2 GB · 4–8 tok/s estimate | CPU/GPU offload |
| Mixtral 8x7B Instruct Q5_K_M8K~33.2 GB · 6.5–12 tok/s estimate | CPU/GPU offload |
| Mixtral 8x7B Instruct Q4_K_M8K~27.5 GB · 13–25 tok/s estimate | CPU/GPU offload |
| Mixtral 8x7B Instruct IQ4_XS8K~27.1 GB · 14–27 tok/s estimate | CPU/GPU offload |
| Mixtral 8x7B Instruct Q3_K_M8K~21.6 GB · 81–117 tok/s estimate | Compatible |
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NVIDIA
CompatibleRuns Mixtral 8x7B Instruct Q4_K_M entirely in memory
AMD
ExcellentRuns Mixtral 8x7B Instruct Q4_K_M entirely in memory
Apple Silicon
ExcellentRuns Mixtral 8x7B Instruct Q4_K_M entirely in memory
Unified memory PC
ExcellentRuns Mixtral 8x7B Instruct Q4_K_M entirely in memory
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