Instruction Makes a Difference
Paper • 2402.00453 • Published
LLaDoc (Large Language and Document) model
This is a fine-tuned model of LLaVA1.5 (7B) on the iDocVQA dataset. It is intended to be used as a multimodal system. The dataset it's trained on is limited in scope, as it covers only certain domains.
The accuracy achieved on the validation set is 29.58%.
Please find the information about preprocessing, training and full details of the LLaVA model in the original link
The paper for this work is available on arXiv: https://arxiv.org/abs/2402.00453
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Install from pip and serve model
# Install vLLM from pip: pip install vllm# Start the vLLM server: vllm serve "tosin/LLaDoc"# Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "tosin/LLaDoc", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'