Can the NVIDIA RTX 5070 run Mistral Small 24B?
Yes, with heavy quantization
QuantQ2_KHeavily degraded
Memory10.8 GBof 12 GB
Speed~46tokens/s
Only just. Mistral Small 24B fits on the NVIDIA RTX 5070 at Q2_K, which costs noticeable quality. Expect about 46 tokens/second. A card with more memory is a better experience.
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Memory needed by quantization
At 8,192 tokens of context.
| Quant | Quality | Memory | Fits? | Speed |
|---|---|---|---|---|
| FP16 | Full quality | 49.1 GB | Too big | — |
| Q8_0 | Near-lossless | 27 GB | Too big | — |
| Q6_K | Excellent | 21.3 GB | Too big | — |
| Q5_K_M | Very good | 18.7 GB | Too big | — |
| Q4_K_M | Good, most popular | 16.2 GB | Too big | — |
| Q3_K_M | Noticeably degraded | 13.5 GB | Too big | — |
| Q2_K | Heavily degraded | 10.8 GB | Fits | ~46 tok/s |
How to run Mistral Small 24B on the NVIDIA RTX 5070
Ollama's default mistral-small:24b download is Q4_K_M, which needs about 16.2 GB, more than the 12 GB available. Download the Q2_K GGUF instead (LM Studio lists quants per model), or try a smaller context length.
GPUs that run Mistral Small 24B comfortably
- NVIDIA RTX 3090 (24 GB)
- AMD Radeon RX 7900 XTX (24 GB)
- NVIDIA RTX 4090 (24 GB)
- Apple M2 Pro (32GB)
- NVIDIA RTX 5090 (32 GB)