The simplest, fastest repository for training/finetuning medium-sized GPTs.

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

GUI for ChatGPT API and many LLMs. Supports agents, file-based QA, GPT finetuning and query with web search. All with a neat UI.

AirLLM 70B inference with single 4GB GPU

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more.

QLoRA: Efficient Finetuning of Quantized LLMs

The ultimate training toolkit for finetuning diffusion models

The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, vLLM, DeepSpeed, Axolotl, etc.

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

SD-Trainer. LoRA & Dreambooth training scripts & GUI use kohya-ss's trainer, for diffusion model.

FineTune, a macOS menu bar app for per-app volume control, multi-device output, audio routing, and 10-band EQ. Free and open-source alternative to SoundSource.

This repo is a pipeline of VITS finetuning for fast speaker adaptation TTS, and many-to-many voice conversion

The simplest, fastest repository for training/finetuning small-sized VLMs.

CSGHub is a brand-new open-source platform for managing LLMs, developed by the OpenCSG team. It offers both open-source and on-premise/SaaS solutions, with features comparable to Hugging Face. Gain full control over the lifecycle of LLMs, datasets, and agents, with Python SDK compatibility with Hugging Face. Join us! ⭐️

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

A quick guide (especially) for trending instruction finetuning datasets

No description available

LLM Finetuning with peft

Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

Lora beYond Conventional methods, Other Rank adaptation Implementations for Stable diffusion.

AllTalk is based on the Coqui TTS engine, similar to the Coqui_tts extension for Text generation webUI, however supports a variety of advanced features, such as a settings page, low VRAM support, DeepSpeed, narrator, model finetuning, custom models, wav file maintenance. It can also be used with 3rd Party software via JSON calls.

Olive: Simplify ML Model Finetuning, Conversion, Quantization, and Optimization for CPUs, GPUs and NPUs.

Code and model for the paper "Improving Language Understanding by Generative Pre-Training"

Simple UI for LLM Model Finetuning

[ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings

An open-source implementaion for fine-tuning Qwen-VL series by Alibaba Cloud.

Stanford NLP Python library for Representation Finetuning (ReFT)

chatglm 6b finetuning and alpaca finetuning