Can the NVIDIA RTX 4070 Ti Super run Mistral 7B v0.3?
- 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 7B v0.3 fully in VRAM at Q8_0 (near-lossless), using about 9.4 GB of the 16 GB available, at roughly 52 tokens/second.
Run it with Ollama
With Ollama installed, one command downloads and starts Mistral 7B v0.3:
ollama run mistral:7bOllama's default download is Q4_K_M (about 6.1 GB here). You have room for Q8_0, which is near-lossless: pick that GGUF in LM Studio or from Hugging Face.
New to this? Step-by-step setup for the RTX 4070 Ti Super
Run it in the cloud
No NVIDIA RTX 4070 Ti Super? Run Mistral 7B v0.3 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 | 16.2 GB | Too big | — | |
| Q8_0 | Near-lossless | 9.4 GB | Fits | ~52 tok/s | |
| Q6_K | Excellent | 7.6 GB | Fits | ~68 tok/s | |
| Q5_K_M | Very good | 6.8 GB | Fits | ~78 tok/s | |
| Q4_K_M | Good, most popular | 6.1 GB | Fits | ~92 tok/s | |
| Q3_K_M | Noticeably degraded | 5.2 GB | Fits | ~114 tok/s | |
| Q2_K | Heavily degraded | 4.4 GB | Fits | ~148 tok/s |
GPUs that run Mistral 7B v0.3 comfortably
Models that run well on the NVIDIA RTX 4070 Ti Super
Frequently asked questions
Can NVIDIA RTX 4070 Ti Super run Mistral 7B v0.3?
Yes. The NVIDIA RTX 4070 Ti Super can run Mistral 7B v0.3 fully in VRAM at Q8_0 (near-lossless), using about 9.4 GB of the 16 GB available, at roughly 52 tokens/second.
How much VRAM does Mistral 7B v0.3 need?
About 6.1 GB at Q4_K_M with 8,192 tokens of context, and about 16.2 GB at full FP16 precision.
How fast is Mistral 7B v0.3 on the NVIDIA RTX 4070 Ti Super?
Roughly 52 tokens per second at Q8_0, estimated from the NVIDIA RTX 4070 Ti Super's 672 GB/s memory bandwidth.