File size: 1,413 Bytes
7512342 77406e5 e6ffb3f f4137a5 77406e5 7512342 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 |
---
base_model: unsloth/meta-llama-3.1-8b-bnb-4bit
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
---
# Uploaded model
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](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
|