GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation

Fine-tuning Qwen2.5-VL for vision-language tasks | Optimized for Vision understanding | LoRA & PEFT support.

中文医学多模态大模型 Large Chinese Language-and-Vision Assistant for BioMedicine

This repo is for Amazon ML Challenge 2024. The challenge was to develop a Machine Learning model to extract product details directly from the product images.

使用LLaMA-Factory微调多模态大语言模型的示例代码 Demo of Finetuning Multimodal LLM with LLaMA-Factory

This repo contains the winning code for Amazon ML Challenge 2024. The challenge was to develop a Machine Learning model to extract product entity details directly from the product images.

这是一个很可爱的色妹妹，送给每一个需要的人~

Fine-tune an LLM on your Telegram chats to replicate your writing style using LLaMA-Factory and LoRA

This project enables the model to directly generate structured summaries with fixed fields through PEFT/QLoRA fine-tuning

Sample for Fine-Tuning LLMs & VLMs

A flexible, template-based dataset generator for creating high-quality training data for enterprise AI and RAG (Retrieval-Augmented Generation) systems.

LLaMA-Factory FP8 training environment for NVIDIA Hopper GPUs. Fixes common configuration issues causing 2x slowdown with FP8 mixed precision.

QQ群成员聊天风格大模型LLM微调指引

MultiLingual LLM Finetuning

🛠 Build and customize LLaMA models easily with LLaMA-Factory, streamlining the training and deployment of large language models.

Reproducible ~7B LLM post-training: versioned data manifest, LlamaFactory SFT/DPO, lm-eval benchmarks, optional vLLM serving.

Training framework for the DriveFusion project that fine-tunes and train LLMs and multimodal vision-language models for driving tasks. Built on LLaMAFactory, it adds dataset processing, distributed training workflows, optimization for scalable autonomous-driving model development.