Mistral Nemo 12B needs ~12.3 GB VRAM. RTX 4070 Ti Super 16GB has 16.0 GB. With Q4_K_M quantization, expect ~83 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
82.9 tok/s
TTFT
2335 ms
Safe context
41K
Memory
12.3 GB / 16.0 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 | 82.9 tok/s | 1274 ms | 41K |
| Coding | B | Runs well | 82.9 tok/s | 2335 ms | 41K |
| Agentic Coding | B | Tight fit | 82.9 tok/s | 3397 ms | 41K |
| Reasoning | B | Runs well | 82.9 tok/s | 2760 ms | 41K |
| RAG | B | Tight fit | 82.9 tok/s | 4246 ms | 41K |
How Mistral Nemo 12B (12B params) fits at each quantization level on RTX 4070 Ti Super 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 4.7 GB | Low | B61 |
Q3_K_S | 3 | 5.9 GB | Low | B62 |
NVFP4 | 4 | 6.7 GB | Medium | B63 |
Q4_K_M | 4 | 7.3 GB | Medium | B63 |
Q5_K_M | 5 | 8.6 GB | High | B64 |
Q6_KBest for your GPU | 6 | 9.8 GB | High | B63 |
Q8_0 | 8 | 12.8 GB | Very High | F0 |
F16 | 16 | 24.6 GB | Maximum | F0 |
Copy-paste commands to run Mistral Nemo 12B on your machine.
Run
ollama run mistral-nemoYes, RTX 4070 Ti Super 16GB can run Mistral Nemo 12B with a B grade (Runs well). Expected decode speed: 82.9 tok/s.
Mistral Nemo 12B (12B parameters) requires approximately 12.3 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 RTX 4070 Ti Super 16GB, Mistral Nemo 12B achieves approximately 82.9 tokens per second decode speed with a time-to-first-token of 2335ms using Q4_K_M quantization.
For coding workloads, Mistral Nemo 12B on RTX 4070 Ti Super 16GB receives a B grade with 82.9 tok/s and 41K context.
On RTX 4070 Ti Super 16GB, Mistral Nemo 12B can safely use up to 41K 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-rtx-4070-ti-super-16gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
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