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---
language:
- en
license: llama3
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
- not-for-all-audiences
base_model: unsloth/llama-3-8b-bnb-4bit
datasets:
- grimulkan/LimaRP-augmented
- mpasila/LimaRP-augmented-8k-context
library_name: peft
---
This was made using the Llama 3 Instruct prompt formatting so that it should be easier to be merged with other models using that format.
LoRA trained in 4-bit with 8k context using [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B/) as the base model for 1 epoch.
Dataset used is [a modified](https://huggingface.co/datasets/mpasila/LimaRP-augmented-8k-context) version of [grimulkan/LimaRP-augmented](https://huggingface.co/datasets/grimulkan/LimaRP-augmented).
### Prompt format: Llama 3 Instruct
There might be a slight issue with the prompt formatting since Unsloth decided to leave "gpt" and "user" to the prompts which seem to not be handled correctly all the time.
# Uploaded model
- **Developed by:** mpasila
- **License:** Llama 3 Community License
- **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) |