Mistral 7B v0.3
Mistral AI · Mistral
The model that proved 7B parameters can match much larger models on reasoning tasks when trained carefully. Apache 2.0 licensed, so it is fully free to use commercially with no restrictions.
Params
7B
License
Apache 2.0
Context
32K
Min VRAM
4 GB
Min RAM
8 GB
Tier
Light
Run locally with Ollama
ollama run mistral:7bOnce running, Ollama exposes an OpenAI-compatible endpoint at localhost:11434/v1.
Will it run on my hardware?
Mistral 7B v0.3 needs about 4 GB of fast memory at Q4. Here is what in our hardware database clears that bar.
Runs at full speed · 12
Runs, but slower on shared memory · 3
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Specifications
| Parameters | 7B |
|---|---|
| Context window | 32K |
| License | Apache 2.0 |
| Min VRAM (Q4) | 4 GB |
| Min RAM | 8 GB |
| Recommended tier | Light |
| Best for | chatanalysissummarization |
Variants on Ollama
Ollama serves the Q4_K_M quantization by default. Higher-precision tags exist for users with more memory.
Mistral 7B v0.3
ollama run mistral:7bollama pull mistral:q8_0ollama pull mistral:fp16Exact quantization tags vary per model — run ollama show mistral or check the tags page for the full list.
Popularity trend (illustrative)
Illustrative adoption trend, not actual download counts. We do not publish a download number for any model because we have no honest source for it.
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