Magistral 32B
Mistral's reasoning-specialized fine-tune of a Mistral Small base. Reasoning-token emission similar to Qwen 3 / DeepSeek R1 in a smaller footprint. Research license — non-commercial use is open.
Overview
Mistral's reasoning-specialized fine-tune of a Mistral Small base. Reasoning-token emission similar to Qwen 3 / DeepSeek R1 in a smaller footprint. Research license — non-commercial use is open.
Family & lineage
How this model relates to others in its lineage. Family members share architecture and training-data roots; parent / children edges record direct distillation or fine-tune relationships.
Strengths
- Reasoning-class quality at 32B
- Mistral instruction-following lineage
Weaknesses
- Research license blocks commercial use
Quantization variants
Each quantization trades model quality for file size and VRAM. Q4_K_M is the most popular starting point.
| Quantization | File size | VRAM required |
|---|---|---|
| AWQ-INT4 | 19.0 GB | 22 GB |
Get the model
HuggingFace
Original weights
Source repository — direct quantization required.
Hardware that runs this
Cards with enough VRAM for at least one quantization of Magistral 32B.
Models worth comparing
Same parameter band, plus what's one tier above and below — so you can decide what actually fits your hardware.
Frequently asked
What's the minimum VRAM to run Magistral 32B?
Can I use Magistral 32B commercially?
What's the context length of Magistral 32B?
Source: huggingface.co/mistralai/Magistral-32B
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