README.md

---
language:
- en
license: llama3
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
- sft
- not-for-all-audiences
base_model: unsloth/llama-3-8b-bnb-4bit
datasets:
- mpasila/LimaRP-PIPPA-Mix-8K-Context
- grimulkan/LimaRP-augmented
- KaraKaraWitch/PIPPA-ShareGPT-formatted
---
This is an ExLlamaV2 quantized model in 4.7bpw of [mpasila/Llama-3-LiPPA-8B](https://huggingface.co/mpasila/Llama-3-LiPPA-8B) using the default calibration dataset with 8192 context length.

# Original Model card:

This is a merge of [mpasila/Llama-3-LiPPA-LoRA-8B](https://huggingface.co/mpasila/Llama-3-LiPPA-LoRA-8B).

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 [mpasila/LimaRP-PIPPA-Mix-8K-Context](https://huggingface.co/datasets/mpasila/LimaRP-PIPPA-Mix-8K-Context) which was made using [grimulkan/LimaRP-augmented](https://huggingface.co/datasets/grimulkan/LimaRP-augmented) and [KaraKaraWitch/PIPPA-ShareGPT-formatted](https://huggingface.co/datasets/KaraKaraWitch/PIPPA-ShareGPT-formatted).

This has been trained on the base model and not the instruct model. The model trained with the instruct model using the same dataset is here: [mpasila/Llama-3-Instruct-LiPPA-8B](https://huggingface.co/mpasila/Llama-3-Instruct-LiPPA-8B)

From quick testing it appears to work fairly well for chatting.

### Prompt format: Llama 3 Instruct

Unsloth changed assistant to gpt and user to human.

# 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)