Mistral on NVIDIA Ada
Can I run Mistral 7B v0.3 on an RTX 4070 Super?
Yes. Mistral 7B v0.3 at Q4_K_M uses 5.9 GB of the 10.5 GB available on a RTX 4070 Super, and runs at about 64.7 tokens per second. You can push the context to 32K.
Runs comfortably
5.9 GB of 10.5 GB · 57%010 GB
Weights
4.1 GB
KV cache
1.0 GB
Runtime overhead
0.8 GB
Mistral 7B v0.3 at Q4_K_M leaves 4.5 GB spare on a RTX 4070 Super. There is room to raise the context length or move up a quantisation level.
Generation64.7tok/s
Prompt processing2057tok/s
Max context32Ktokens
KV per 1K tokens0GB
Every quantisation of Mistral 7B v0.3 on a RTX 4070 Super
Highlighted row is the highest quality that still fits at 8K context.
| Quantisation | bpw | Weights | Total | Verdict | Max ctx | tok/s |
|---|---|---|---|---|---|---|
| FP16 / BF16 | 16.00 | 13.5 GB | 15.3 GB | Won't fit | — | 6.01 |
| INT8 / W8A8 | 8.50 | 7.1 GB | 8.9 GB | Runs comfortably | 20K | 39.4 |
| Q8_0 (GGUF) | 8.50 | 7.1 GB | 8.9 GB | Runs comfortably | 20K | 39.4 |
| FP8 (E4M3) | 8.00 | 6.8 GB | 8.6 GB | Runs comfortably | 23K | 41.3 |
| Q6_K | 6.56 | 5.5 GB | 7.4 GB | Runs comfortably | 32K | 49.6 |
| Q5_K_M | 5.67 | 4.8 GB | 6.6 GB | Runs comfortably | 32K | 56.6 |
| Q5_K_S | 5.52 | 4.7 GB | 6.5 GB | Runs comfortably | 32K | 57.9 |
| Q4_K_M | 4.85 | 4.1 GB | 5.9 GB | Runs comfortably | 32K | 64.7 |
| AWQ 4-bit | 4.25 | 4.0 GB | 5.8 GB | Runs comfortably | 32K | 67.0 |
| GPTQ 4-bit | 4.25 | 4.0 GB | 5.8 GB | Runs comfortably | 32K | 67.0 |
| MXFP4 | 4.25 | 4.0 GB | 5.8 GB | Runs comfortably | 32K | 67.0 |
| Q4_K_S | 4.58 | 3.9 GB | 5.7 GB | Runs comfortably | 32K | 67.9 |
| Q4_0 | 4.55 | 3.9 GB | 5.7 GB | Runs comfortably | 32K | 68.3 |
| IQ4_XS | 4.25 | 3.6 GB | 5.4 GB | Runs comfortably | 32K | 72.2 |
| Q3_K_M | 3.91 | 3.3 GB | 5.2 GB | Runs comfortably | 32K | 77.3 |
| IQ3_M | 3.70 | 3.2 GB | 5.0 GB | Runs comfortably | 32K | 80.9 |
| IQ3_XXS | 3.06 | 2.7 GB | 4.5 GB | Runs comfortably | 32K | 94.0 |
| Q2_K | 2.63 | 2.3 GB | 4.1 GB | Runs comfortably | 32K | 105 |
| IQ2_XXS | 2.06 | 1.8 GB | 3.7 GB | Runs comfortably | 32K | 126 |
| IQ1_M | 1.75 | 1.6 GB | 3.4 GB | Runs comfortably | 32K | 140 |