Pixtral 12B
Mistral's multimodal entry. 12B parameters, vision + text, Apache 2.0. Good document and chart understanding.
Overview
Mistral's multimodal entry. 12B parameters, vision + text, Apache 2.0. Good document and chart understanding.
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
- Apache 2.0
- Multimodal
- 12B fits 16GB
Weaknesses
- Vision quality below Qwen-VL family
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 |
|---|---|---|
| Q4_K_M | 7.0 GB | 10 GB |
| Q8_0 | 13.0 GB | 16 GB |
Get the model
Ollama
One-line install
ollama run pixtral:12bRead our Ollama review →HuggingFace
Original weights
Source repository — direct quantization required.
Hardware that runs this
Cards with enough VRAM for at least one quantization of Pixtral 12B.
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 Pixtral 12B?
Can I use Pixtral 12B commercially?
What's the context length of Pixtral 12B?
How do I install Pixtral 12B with Ollama?
Does Pixtral 12B support images?
Source: huggingface.co/mistralai/Pixtral-12B-2409
Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify model claims.
Related — keep moving
Verify Pixtral 12B runs on your specific hardware before committing money.