Mistral Nemo 12B needs ~14.2 GB VRAM. NVIDIA V100 32GB has 32.0 GB. With Q4_K_M quantization, expect ~89 tok/s.
Operating mode
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Runs well
Decode
88.6 tok/s
TTFT
2186 ms
Safe context
128K
Memory
14.2 GB / 32.0 GB
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | B | Runs well | 88.6 tok/s | 1192 ms | 128K |
| Coding | B | Runs well | 88.6 tok/s | 2186 ms | 128K |
| Agentic Coding | B | Runs well | 88.6 tok/s | 3180 ms | 128K |
| Reasoning | B | Runs well | 88.6 tok/s | 2584 ms | 128K |
| RAG | B | Runs well | 88.6 tok/s | 3975 ms | 128K |
How Mistral Nemo 12B (12B params) fits at each quantization level on NVIDIA V100 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 4.7 GB | Low | B56 |
Q3_K_S | 3 | 5.9 GB | Low | B56 |
NVFP4 | 4 |
Copy-paste commands to run Mistral Nemo 12B on your machine.
Run
ollama run mistral-nemoYes, NVIDIA V100 32GB can run Mistral Nemo 12B with a B grade (Runs well). Expected decode speed: 88.6 tok/s.
Mistral Nemo 12B (12B parameters) requires approximately 14.2 GB of memory with Q4_K_M quantization.
The recommended quantization for Mistral Nemo 12B is Q4_K_M, which balances quality and memory efficiency.
On NVIDIA V100 32GB, Mistral Nemo 12B achieves approximately 88.6 tokens per second decode speed with a time-to-first-token of 2186ms using Q4_K_M quantization.
For coding workloads, Mistral Nemo 12B on NVIDIA V100 32GB receives a B grade with 88.6 tok/s and 128K context.
On NVIDIA V100 32GB, Mistral Nemo 12B can safely use up to 128K tokens of context. The model's official context limit is 128K, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/mistral-nemo-12b-on-v100-32gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
6.7 GB |
| Medium |
| B57 |
Q4_K_M | 4 | 7.3 GB | Medium | B57 |
Q5_K_M | 5 | 8.6 GB | High | B57 |
Q6_K | 6 | 9.8 GB | High | B58 |
Q8_0 | 8 | 12.8 GB | Very High | B59 |
F16Best for your GPU | 16 | 24.6 GB | Maximum | B61 |