48 lines
1.4 KiB
Markdown
48 lines
1.4 KiB
Markdown
|
---
|
||
|
|
inference: false
|
||
|
|
tags:
|
||
|
|
- llamafile
|
||
|
|
- GGUF
|
||
|
|
license: llama2
|
||
|
|
---
|
||
|
|
|
||
|
|
*Software Last Updated: 2025-03-31*
|
||
|
|
|
||
|
|
*Llamafile Version: 0.9.2*
|
||
|
|
|
||
|
|
# LLaVA Model Card
|
||
|
|
|
||
|
|
## Model details
|
||
|
|
|
||
|
|
**Model type:**
|
||
|
|
LLaVA is an open-source chatbot trained by fine-tuning LLaMA/Vicuna on GPT-generated multimodal instruction-following data.
|
||
|
|
It is an auto-regressive language model, based on the transformer architecture.
|
||
|
|
|
||
|
|
**Model date:**
|
||
|
|
LLaVA-v1.5-7B was trained in September 2023.
|
||
|
|
|
||
|
|
**Paper or resources for more information:**
|
||
|
|
https://llava-vl.github.io/
|
||
|
|
|
||
|
|
## License
|
||
|
|
Llama 2 is licensed under the LLAMA 2 Community License,
|
||
|
|
Copyright (c) Meta Platforms, Inc. All Rights Reserved.
|
||
|
|
|
||
|
|
**Where to send questions or comments about the model:**
|
||
|
|
https://github.com/haotian-liu/LLaVA/issues
|
||
|
|
|
||
|
|
## Intended use
|
||
|
|
**Primary intended uses:**
|
||
|
|
The primary use of LLaVA is research on large multimodal models and chatbots.
|
||
|
|
|
||
|
|
**Primary intended users:**
|
||
|
|
The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.
|
||
|
|
|
||
|
|
## Training dataset
|
||
|
|
- 558K filtered image-text pairs from LAION/CC/SBU, captioned by BLIP.
|
||
|
|
- 158K GPT-generated multimodal instruction-following data.
|
||
|
|
- 450K academic-task-oriented VQA data mixture.
|
||
|
|
- 40K ShareGPT data.
|
||
|
|
|
||
|
|
## Evaluation dataset
|
||
|
|
A collection of 12 benchmarks, including 5 academic VQA benchmarks and 7 recent benchmarks specifically proposed for instruction-following LMMs.
|