inference: false
pipeline_tag: image-text-to-text
datasets:
- yifanzhang114/SMR
SliME Model Card
Model details
Model type: SliME is an open-source chatbot trained by fine-tuning LLM on multimodal instruction-following data. It is an auto-regressive language model, based on the transformer architecture. Base LLM: lmsys/vicuna-13b-v1.5
Paper or resources for more information: https://github.com/yfzhang114/SliME
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/yfzhang114/SliME/issues
Intended use
Primary intended uses: The primary use of SliME 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
- SharedGPT4v sft data
- SMR data
Evaluation dataset
A collection of 15 benchmarks, including 5 academic VQA benchmarks and 10 recent benchmarks specifically proposed for instruction-following LMMs.
