Phi-3.5 Vision
Multimodal Phi 3.5. Document and chart understanding at edge size. MIT licensed.
Overview
Multimodal Phi 3.5. Document and chart understanding at edge size. MIT licensed.
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
- MIT license
- Vision in 4B
Weaknesses
- Patchy runner support outside Transformers
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 | 2.5 GB | 4 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 Phi-3.5 Vision.
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 Phi-3.5 Vision?
Can I use Phi-3.5 Vision commercially?
What's the context length of Phi-3.5 Vision?
Does Phi-3.5 Vision support images?
Source: huggingface.co/microsoft/Phi-3.5-vision-instruct
Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify model claims.
Related — keep moving
Verify Phi-3.5 Vision runs on your specific hardware before committing money.