Mistral on NVIDIA Ampere
Can I run Mistral 7B v0.3 on an RTX 3080 10GB?
Yes. Mistral 7B v0.3 at Q4_K_M uses 5.9 GB of the 8.6 GB available on a RTX 3080 10GB, and runs at about 101 tokens per second. You can push the context to 29K.
Runs comfortably
5.9 GB of 8.6 GB · 69%09 GB
Weights
4.1 GB
KV cache
1.0 GB
Runtime overhead
0.8 GB
Mistral 7B v0.3 at Q4_K_M leaves 2.7 GB spare on a RTX 3080 10GB. There is room to raise the context length or move up a quantisation level.
Generation101tok/s
Prompt processing1738tok/s
Max context29Ktokens
KV per 1K tokens0GB
Every quantisation of Mistral 7B v0.3 on a RTX 3080 10GB
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 | — | 5.26 |
| INT8 / W8A8 | 8.50 | 7.1 GB | 8.9 GB | Won't fit | 5K | 36.9 |
| Q8_0 (GGUF) | 8.50 | 7.1 GB | 8.9 GB | Won't fit | 5K | 36.9 |
| FP8 (E4M3) | 8.00 | 6.8 GB | 8.6 GB | Fits, but tight | 8K | 64.8 |
| Q6_K | 6.56 | 5.5 GB | 7.4 GB | Runs comfortably | 18K | 77.6 |
| Q5_K_M | 5.67 | 4.8 GB | 6.6 GB | Runs comfortably | 24K | 88.5 |
| Q5_K_S | 5.52 | 4.7 GB | 6.5 GB | Runs comfortably | 25K | 90.6 |
| Q4_K_M | 4.85 | 4.1 GB | 5.9 GB | Runs comfortably | 29K | 101 |
| AWQ 4-bit | 4.25 | 4.0 GB | 5.8 GB | Runs comfortably | 31K | 105 |
| GPTQ 4-bit | 4.25 | 4.0 GB | 5.8 GB | Runs comfortably | 31K | 105 |
| MXFP4 | 4.25 | 4.0 GB | 5.8 GB | Runs comfortably | 31K | 105 |
| Q4_K_S | 4.58 | 3.9 GB | 5.7 GB | Runs comfortably | 31K | 106 |
| Q4_0 | 4.55 | 3.9 GB | 5.7 GB | Runs comfortably | 31K | 107 |
| IQ4_XS | 4.25 | 3.6 GB | 5.4 GB | Runs comfortably | 32K | 113 |
| Q3_K_M | 3.91 | 3.3 GB | 5.2 GB | Runs comfortably | 32K | 121 |
| IQ3_M | 3.70 | 3.2 GB | 5.0 GB | Runs comfortably | 32K | 126 |
| IQ3_XXS | 3.06 | 2.7 GB | 4.5 GB | Runs comfortably | 32K | 146 |
| Q2_K | 2.63 | 2.3 GB | 4.1 GB | Runs comfortably | 32K | 164 |
| IQ2_XXS | 2.06 | 1.8 GB | 3.7 GB | Runs comfortably | 32K | 195 |
| IQ1_M | 1.75 | 1.6 GB | 3.4 GB | Runs comfortably | 32K | 218 |