# Llama3 Fine-tuning

MiniThinky 1B is an AI assistant model fine-tuned from Llama-3.2-1B-Instruct, featuring thought process visualization before answering

A multimodal biomedical model fine-tuned based on Llama-3-8B-Instruct, supporting text and image processing, suitable for biomedical research and clinical applications.

AI virtual anchor BanBan model, a virtual anchor assistant designed specifically for the NTNU VLSI club, capable of image-text-to-text conversion.

Financial text sentiment analysis model fine-tuned based on Llama-3-8B, supporting positive/neutral/negative three-class classification

nephra v1 is a model specifically designed for roleplay conversations, trained on datasets tailored for roleplay and instructional styles.

TabuLa-8B is a foundational model for table data prediction (classification and binned regression), built on Meta Llama 3.

A Chinese light novel generation model fine-tuned on llama3-8b, trained with 40,000 sets of novel context data

A large language model for the medical domain developed by John Snow Labs, based on supervised fine-tuning (SFT) of Meta-Llama-3-8B

This model is fine-tuned based on meta-llama/Meta-Llama-3-8B-Instruct, specifically designed for function calling and JSON mode.

Copus-2x8B is a Mixture of Experts model based on the Llama-3-8B architecture, combining fine-tuned versions of dreamgen/opus-v1.2-llama-3-8b and NousResearch/Meta-Llama-3-8B-Instruct.