Can the NVIDIA RTX 4070 Ti Super run Mistral Nemo 12B?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- Q2_K
Yes. The NVIDIA RTX 4070 Ti Super can run Mistral Nemo 12B fully in VRAM at Q8_0 (near-lossless), using about 14.9 GB of the 16 GB available, at roughly 31 tokens/second.
Run it with Ollama
With Ollama installed, one command downloads and starts Mistral Nemo 12B:
ollama run mistral-nemo:12bOllama's default download is Q4_K_M (about 9.3 GB here). You have room for Q8_0, which is near-lossless: pick that GGUF in LM Studio or from Hugging Face.
Run it in the cloud
No NVIDIA RTX 4070 Ti Super? Run Mistral Nemo 12B in the cloud.
Rent a cloud GPU by the hour. No upfront cost, stop any time.
Memory needed by quantization
At 8,192 tokens of context. The black line marks the 16 GB the NVIDIA RTX 4070 Ti Super can use.
| Quant | Quality | Memory | Fits? | Speed | |
|---|---|---|---|---|---|
| FP16 | Full quality | 26.3 GB | Too big | — | |
| Q8_0 | Near-lossless | 14.9 GB | Fits | ~31 tok/s | |
| Q6_K | Excellent | 11.9 GB | Fits | ~40 tok/s | |
| Q5_K_M | Very good | 10.6 GB | Fits | ~46 tok/s | |
| Q4_K_M | Good, most popular | 9.3 GB | Fits | ~55 tok/s | |
| Q3_K_M | Noticeably degraded | 7.9 GB | Fits | ~68 tok/s | |
| Q2_K | Heavily degraded | 6.5 GB | Fits | ~88 tok/s |
GPUs that run Mistral Nemo 12B comfortably
Models that run well on the NVIDIA RTX 4070 Ti Super
Frequently asked questions
Can NVIDIA RTX 4070 Ti Super run Mistral Nemo 12B?
Yes. The NVIDIA RTX 4070 Ti Super can run Mistral Nemo 12B fully in VRAM at Q8_0 (near-lossless), using about 14.9 GB of the 16 GB available, at roughly 31 tokens/second.
How much VRAM does Mistral Nemo 12B need?
About 9.3 GB at Q4_K_M with 8,192 tokens of context, and about 26.3 GB at full FP16 precision.
How fast is Mistral Nemo 12B on the NVIDIA RTX 4070 Ti Super?
Roughly 31 tokens per second at Q8_0, estimated from the NVIDIA RTX 4070 Ti Super's 672 GB/s memory bandwidth.