Mistral AI
Mistral 7B Instruct v0.3
Efficient 7B model from Mistral AI with strong performance for its size.
7.3B parametersmistralapache-2.032K context4.57GB - 15.5GB VRAM
Check Your Hardware
See which quantizations of Mistral 7B Instruct v0.3 your hardware can run.
Quantization Options
| Quantization | Bits | File Size | VRAM Needed | RAM Needed | Quality |
|---|---|---|---|---|---|
| Q4_K_M | 4.5 | 4.072 GB | 4.57 GB | 5.07 GB | 85% |
| Q5_K_M | 5.5 | 4.783 GB | 5.28 GB | 5.78 GB | 90% |
| Q8_0 | 8 | 7.174 GB | 7.67 GB | 8.17 GB | 98% |
| FP16 | 16 | 14.5 GB | 15.5 GB | 18 GB | 100% |
See It In Action
Real model outputs generated via RunThisModel.com — watch responses stream in real time.
Llama 3.3 70B responding...
Outputs generated by real AI models via RunThisModel.com. Generation speed shown is from cloud inference. Local speeds vary by hardware — check your device.
Frequently Asked Questions
How much VRAM do I need to run Mistral 7B Instruct v0.3?
Mistral 7B Instruct v0.3 requires 4.57GB VRAM minimum with Q4_K_M quantization. For full precision, you need 15.5GB VRAM.
What is the best quantization for Mistral 7B Instruct v0.3?
Q4_K_M offers the best balance of quality and VRAM usage. Q8_0 is near-lossless if you have enough VRAM.