Text model · mistral
Mistral 7B requirements
mistral family · 7B params · released May 2024 · 26.1M Ollama pulls · LMArena Elo 1149. Minimum to run at Q4_K_M: Nvidia GeForce RTX 3060 (12GB).
Quantization sizes
| Quantization | Size on disk |
|---|---|
| Q2_K | 2.9 GB est |
| Q3_K_M | 3.4 GB est |
| Q4_K_M (default) | 4.37 GB |
| Q5_K_M | 5 GB est |
| Q6_K | 5.7 GB est |
| Q8_0 | 7.7 GB |
| FP16 | 14 GB est |
Lower quant = smaller and faster, slightly lower quality. Q4_K_M is the common default.
Run it
ollama run mistral:7b llama-cli -hf bartowski/Mistral-7B-Instruct-v0.3-GGUF:Q4_K_M lms get bartowski/Mistral-7B-Instruct-v0.3-GGUF Which devices can run Mistral 7B?
Apple Silicon Macs
RAM-only laptops
iPhone & iPad
Android
NVIDIA GPUs
AMD GPUs
FAQ
How much VRAM or RAM does Mistral 7B need?
At Q4_K_M, Mistral 7B needs about 5.8 GB (weights ~4.37 GB + KV cache + overhead) at a 4k context. At Q8_0 budget ~9.1 GB.
Can Mistral 7B run on a laptop?
Yes, Mistral 7B fits on a 16 GB machine at Q4_K_M and runs on Apple Silicon or a 12 GB+ GPU comfortably.
Can I use Mistral 7B commercially?
Yes. Mistral 7B is licensed Apache-2.0, which permits commercial use.
Latest is v0.3 (released May 2024), adds function calling and extended vocabulary. Ollama default tag shows 4.4GB; bartowski HF repo gives precise 4.37GB Q4_K_M and 7.70GB Q8_0 for v0.3.
Sources
Memory figures are estimates. See methodology.