Mistral Nemo 12B needs ~13.4 GB VRAM. NVIDIA A30 24GB has 24.0 GB. With Q4_K_M quantization, expect ~99 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
106.9 tok/s
TTFT
1811 ms
Safe context
86K
Memory
13.4 GB / 24.0 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 | 106.9 tok/s | 988 ms | 86K |
| Coding | B | Runs well | 99.4 tok/s | 1947 ms | 86K |
| Agentic Coding | B | Runs well | 106.9 tok/s | 2635 ms | 86K |
| Reasoning | B | Runs well | 106.9 tok/s | 2141 ms | 86K |
| RAG | B | Runs well | 106.9 tok/s | 3294 ms | 86K |
How Mistral Nemo 12B (12B params) fits at each quantization level on NVIDIA A30 24GB (24.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 4.7 GB | Low | B58 |
Q3_K_S | 3 | 5.9 GB | Low | B58 |
NVFP4 | 4 |
Copy-paste commands to run Mistral Nemo 12B on your machine.
Run
ollama run mistral-nemoYes, NVIDIA A30 24GB can run Mistral Nemo 12B with a B grade (Runs well). Expected decode speed: 99.4 tok/s.
Mistral Nemo 12B (12B parameters) requires approximately 13.4 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 A30 24GB, Mistral Nemo 12B achieves approximately 99.4 tokens per second decode speed with a time-to-first-token of 1947ms using Q4_K_M quantization.
For coding workloads, Mistral Nemo 12B on NVIDIA A30 24GB receives a B grade with 99.4 tok/s and 86K context.
On NVIDIA A30 24GB, Mistral Nemo 12B can safely use up to 86K 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-a30-24gb" 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 |
| B59 |
Q4_K_M | 4 | 7.3 GB | Medium | B59 |
Q5_K_M | 5 | 8.6 GB | High | B60 |
Q6_K | 6 | 9.8 GB | High | B61 |
Q8_0Best for your GPU | 8 | 12.8 GB | Very High | B63 |
F16 | 16 | 24.6 GB | Maximum | F0 |