Model Training & Fine-Tuning AI Tools
Open-source tools for fine-tuning LLMs, diffusion models, and other AI models using LoRA, QLoRA, and full training methods.
Open-source tools for fine-tuning LLMs, diffusion models, and other AI models using LoRA, QLoRA, and full training methods.
Library for training LLMs with reinforcement learning (RLHF, DPO, PPO).
All-in-one framework for fine-tuning 100+ LLMs with web UI.
Training scripts for Stable Diffusion fine-tuning with LoRA and DreamBooth.
Parameter-efficient fine-tuning technique that adapts large models with minimal trainable parameters.
Efficient fine-tuning method using 4-bit quantized base model with LoRA adapters.
All-in-one Stable Diffusion fine-tuning tool with intuitive GUI.
Generalist fine-tuning toolkit for Stable Diffusion and FLUX models.
Fine-tuning tool for Stable Diffusion focused on training quality.
Video model fine-tuning toolkit by Hugging Face Diffusers team.
Technique for teaching Stable Diffusion new concepts from a few images.
Subject-driven fine-tuning technique for personalizing diffusion models.
Post-training quantization method for compressing large language models.
Low-code framework for building custom AI models by Predibase.
No-code tool by Hugging Face for training ML models automatically.
Efficient LLM quantization preserving important weight channels.