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Yes. Mistral Nemo 12B fits in fast memory on RTX 3080 10GB at Q4_K_M (8.7 GB needed, 9.5 GB usable), about 61 tok/s (estimate).
Hardware: RTX 3080 10GB · Model: Mistral Nemo 12B
RTX 3080 10GB has 10 GB of VRAM and 760 GB/s of memory bandwidth. The checker holds back 0.5 GB of VRAM for the driver and assumes 16 GB of system RAM, so fast memory usable by Ollama is 9.5 GB. Partial offload may also use 60% of that system RAM. Mistral Nemo 12B (12.2B, Mistral) at Q4_K_M is a 7.5 GB download and needs 8.7 GB with headroom for about 8k tokens.
| Best quant | Q4_K_M |
|---|---|
| Download size | 7.5 GB |
| Memory needed | 8.7 GB |
| Usable fast memory | 9.5 GB |
| Fit | fits in fast memory |
| Estimated speed | ~61 tok/s (estimate) |
| Command | ollama run mistral-nemo:12b-instruct-2407-q4_K_M |
Estimates, not benchmarks. Model sizes are ollama.com download sizes; memory needed adds headroom for ~8k tokens of context; speeds are rough figures from memory bandwidth. Data updated 2026-10-23.
A project by OnDevice Labs · llms.txt