microsoft/Phi-3.5-vision-instruct
image-text-to-text model by microsoft
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Model card & documentation
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Phi-3.5-vision is a lightweight, state-of-the-art open multimodal model built upon datasets which include - synthetic data and filtered publicly available websites - with a focus on very high-quality, reasoning dense data both on text and vision. The model belongs to the Phi-3 model family, and the multimodal version comes with 128K context length (in tokens) it can support. The model underwent a rigorous enhancement process, incorporating both supervised fine-tuning and direct preference optimization to ensure precise instruction adherence and robust safety measures. 🏡 Phi-3 Portal 📰 Phi-3 Microsoft Blog 📖 Phi-3 Technical Report 👩🍳 Phi-3 Cookbook 🖥️ Try It Phi-3.5: [[mini-instruct]](https://huggingface.co/microsoft/Phi-3.5-mini-instruct); [[MoE-instruct]](https://huggingface.co/microsoft/Phi-3.5-MoE-instruct) ; [[vision-instruct]](https://huggingface.co/microsoft/Phi-3.5-vision-instruct) The model is intended for broad commercial and research use in English. The model provides uses for general purpose AI systems and applications with visual and text input capabilities which require: 1) Memory/compute constrained environments 2) Latency bound scenarios 3) General image understanding 4) Optical character…
Read the full model card ↗ · Preview checked 2026-10-30T23:23:07.938Z
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- Model Summary
- Intended Uses
- Primary Use Cases
- Use Case Considerations
- Release Notes
- Usage
- Requirements
- Input Formats
- Loading the model locally
- Responsible AI Considerations
- Training
- Models
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Model overview
microsoft/Phi-3.5-vision-instruct is a image-text-to-text model repository published by microsoft on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-text-to-text
- Library
- transformers
- Recent downloads (30 days)
- 647,942
- Cumulative likes
- 746
- Hugging Face trending score
- 7
- Reported safetensors parameters
- 4,146,621,440
- Architecture
- Phi3VForCausalLM
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2024-08-16T23:48:22.000Z
- Last modified
- 2025-12-10T20:24:07.000Z
Compatibility and lineage
Reported languages: multilingual
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-17T06:42:58.539Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.