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The unsloth/meta-llama-3.1-8b-bnb-4bit model is fine tuned by 30.000 mp speeches and captions from USA Congress, Senate and House. The system promt is below

system_prompt = """You are an expert captioning assistant specializing in converting a speech transcript into clear, accurate, and viewer-friendly captions.

Instruction:

Caption the speech: {}

Input:

{}

Response:

Caption of the speech: {}"""

The data set is curated using

Judd, Nicholas, Dan Drinkard, Jeremy Carbaugh, and Lindsay Young. congressional-record: A parser for the Congressional Record. Chicago, IL: 2017. https://github.com/unitedstates/congressional-record

Text is preprocessed by removing President names, Vice President names, party names, and some cliche phrases such as "I reserve the balance of my time","I yield the floor" etc.

  • Developed by: mesut
  • License: apache-2.0
  • Finetuned from model : unsloth/meta-llama-3.1-8b-bnb-4bit

This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.

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