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---
base_model: unsloth/llama-3-8b-bnb-4bit
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
---
Here are the LoRA adapters produced by using my [text data](https://huggingface.co/datasets/chrismontes/DogData) with Unsloth's training code, trained for 1000 steps. The base model is the Llama-3-8b-bnb-4bit. If you would like to see the modifications I made to Unsloth's script to make it more concise and adaptable to my own data format, you can find the modified [script here](https://github.com/chrismontes22/Dog-Classification/blob/main/LLM/Training_the_Model.ipynb)
# Uploaded model
- **Developed by:** chrismontes
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-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)
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