Open LLM List
idefics2 8b
HuggingFaceM4IDEFICS2-8B Model Documentation
Introduction
Idefics2 is an open multimodal model that processes sequences of images and text to generate text outputs. It excels at tasks like visual question answering and document understanding, offering enhanced OCR capabilities. The model comes in several versions, each fine-tuned for specific applications like long conversations or multimodal tasks.
Architecture
Idefics2 features improvements over its predecessor, Idefics1, including enhanced image processing at native resolutions and better OCR abilities. It employs a simplified architecture for integrating visual features with a language backbone, using a vision encoder followed by Perceiver pooling and MLP projection.
Training
The model undergoes a two-stage training process. Initially, images are processed at a fixed resolution, followed by processing at native resolutions for OCR tasks. Instruction fine-tuning occurs on a mixture of vision-language and text-only datasets, enhancing the model's ability to follow user instructions and handle multimodal inputs.
Guide: Running Locally
To run Idefics2 locally:
- Install dependencies: Ensure you have
torch,transformers, and other necessary libraries installed. - Load the model: Use
AutoProcessorandAutoModelForVision2Seqto load the desired Idefics2 model. - Prepare inputs: Format your text and image inputs as required by the model.
- Generate outputs: Use the model's
generatemethod to produce text outputs from your inputs.
For optimal performance, consider using cloud GPUs like AWS or Google Cloud.
License
Idefics2 is released under the Apache 2.0 license, consistent with its parent models, google/siglip-so400m-patch14-384 and mistralai/Mistral-7B-v0.1. This permissive license allows for wide usage and modification of the model.
