Bunny-Llama-3-8B-V
| Property | Value |
|---|---|
| Parameter Count | 8.48B |
| Model Type | Multimodal Language Model |
| License | Apache-2.0 |
| Paper | Technical Report |
| Tensor Type | FP16 |
What is Bunny-Llama-3-8B-V?
Bunny-Llama-3-8B-V is part of the Bunny family of lightweight yet powerful multimodal models developed by BAAI. It uniquely combines a SigLIP vision encoder with the Llama-3-8B language model, creating an efficient architecture for processing both images and text. The model supports high-resolution images up to 1152x1152 in its v1.1 version, making it versatile for various visual-language tasks.
Implementation Details
The model is implemented using the transformers library and can be deployed using either CPU or GPU hardware. It utilizes float16 precision for efficient memory usage and includes custom code for image processing and text generation.
- Built on SigLIP vision encoder and Llama-3-8B-Instruct backbone
- Supports both text and image inputs with specialized processing
- Implements efficient token handling with custom image processing pipeline
Core Capabilities
- High-resolution image processing up to 1152x1152
- Multimodal conversation and reasoning
- Plug-and-play compatibility with various vision encoders
- Efficient memory usage through FP16 precision
Frequently Asked Questions
Q: What makes this model unique?
The model stands out for its lightweight yet powerful architecture, combining SigLIP vision processing with Llama-3-8B language capabilities, while using curated training data to maintain high performance despite its relatively small size.
Q: What are the recommended use cases?
The model is ideal for multimodal applications requiring image understanding and natural language interaction, such as visual question answering, image description, and interactive visual reasoning tasks.
