Mixtral 8x7B Instruct at Q4_K_M needs about 27.5 GB, more than the 8 GB of the RTX 4060 Ti 8 GB: part of the model runs from system RAM, which slows generation. At Q3_K_M it does not fit in VRAM.
Q4_K_M · 8K context
The model needs about 27.5 GB but only 7.7 GB of VRAM is usable: 19.9 GB must be loaded into system RAM. It runs, 28% on the GPU, but more slowly.
~27.5 GB (26.8 GB–28.3 GB) needed · estimate
19.9 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 · 1.6–3 tok/s estimate | Possible but slow |
|---|---|
| Mixtral 8x7B Instruct Q6_K8K~39.2 GB · 2–4 tok/s estimate | Possible but slow |
| Mixtral 8x7B Instruct Q5_K_M8K~33.2 GB · 2.5–5 tok/s estimate | Possible but slow |
| Mixtral 8x7B Instruct Q4_K_M8K~27.5 GB · 3.5–6.5 tok/s estimate | Possible but slow |
| Mixtral 8x7B Instruct IQ4_XS8K~27.1 GB · 3.5–6.5 tok/s estimate | Possible but slow |
| Mixtral 8x7B Instruct Q3_K_M8K~21.6 GB · 4.5–9 tok/s estimate | Possible but slow |
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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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