mpasila/Llama-3-Instruct-LiPPA-8B-exl2-4.7bpw

This is an ExLlamaV2 quantized model in 4.7bpw of mpasila/Llama-3-Instruct-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.

LoRA trained in 4-bit with 8k context using meta-llama/Meta-Llama-3-8B-Instruct as the base model for 1 epoch.

Dataset used is mpasila/LimaRP-PIPPA-Mix-8K-Context which was made using grimulkan/LimaRP-augmented and KaraKaraWitch/PIPPA-ShareGPT-formatted.

This has been trained on the instruct model and not the base model. The model trained with the base model using the same dataset is here: mpasila/Llama-3-LiPPA-8B

This also seems 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-Instruct-bnb-4bit

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