Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

Agentic AI 智能体开发实战

This is an NVIDIA AI Workbench example project that demonstrates an end-to-end model development workflow using Llamafactory.

llamafactory blog

基于Llamaindex微调qwen2.5-7b

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面向小白的深度学习实践入门教程：本地环境部署指南、Dify应用搭建详解、LLaMA Factory模型微调实战。提供开箱即用的配置脚本和中文图文教程，帮助零基础用户快速构建AI应用。

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LlamaFactory integration with Berkeley Function Calling Leaderboard

Select better SFT training data from big pools. Automatically tunes metric weights so top-ranked samples give the best validation loss. Powered by Optuna and LlamaFactory.

Finetune LLM with LLama-Factory remotely with python or curl.

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Training Quicksviewer2 with CubingModule on LLaMaFactory

Docker container with LLaMA-Factory and Unsloth

记录deepspeed裁剪后的梯度范数并保存到日志中

🎯 Fine-tuning LLMs using LlamaFactory for financial intent understanding | Evaluating open-source models on OpenFinData benchmark | Full implementation with multiple models (Qwen2.5/ChatGLM3/Baichuan2/Llama3)

_LLaMAFactory

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基于摩尔线程S4000的llamafactory微调

(star🌟)对0.9.0的llamafactory适配MLU370，可以在算泥网上直接使用，仅作个人分享。如果需要其他适配MLU的库包，也可以联系我。

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通过LLamaFactory微调模型的案例

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

基于Transformers，unsloth，llamafactory做微调训练

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林北的毕设，基于langchain和llamafactory的rag智能体

使用llamafactory图形化界面lora微调本地模型

⚙️ Build and train flexible generative recommendation models with modular tools, multi-GPU support, and integration with Hugging Face and LlamaFactory.