Tools tagged with "LoRA"

NeMo Automodel is a Python library for researchers and developers who want to train or adapt AI models on their own GPU workstations or clusters. Its PyTorch-based training works with Hugging Face models without converting checkpoints.

LazyLLM is a Python framework for developers building applications with multiple AI agents. It brings application workflows, model training and evaluation together so teams can refine a prototype using task-specific data.

Open Instruct is AllenAI's toolkit for researchers and developers adapting pretrained language models with public datasets. It includes the training recipes behind TÜLU and downloadable checkpoints for comparing training stages.

Sana is a local AI image and video generation framework for creators and developers who want to generate media on their own hardware. It includes training and inference tools for working with its diffusion models.

LLaMA-Factory is a local model training platform for developers and researchers who want to adapt pretrained models to their own tasks. Its web UI lets you fine-tune models without writing code.

torchtune is a Python library for developers and researchers who want to adapt LLMs on their own hardware with editable PyTorch training code. The project is no longer actively maintained.

LLaVA is a vision-language model project for researchers and developers who want to ask questions about images on their own hardware.

FluxGym is a browser interface for training FLUX LoRAs on your own images. It's for people who want to customize image models locally, with support for GPUs with 12GB, 16GB or 20GB of VRAM.

TorchAO is a PyTorch library for developers who want to train and run models on their own hardware with less memory. It supports language models and image or video generation, and works with torch.compile and FSDP2 across most Hugging Face PyTorch models.

MiniCPM-V is a family of local vision-language models for developers building applications that interpret images and video. It can run on phones and other hardware you control.

Phosphene is a generative media studio for people creating videos on their own Mac. It combines video, still images, music and character training in one interface, with generation running on-device.

Sonar serves language and multimodal models for developers and teams running AI applications on their own hardware. It builds on vLLM and works with Hugging Face-compatible models.

TensorRT-LLM is an inference library for developers serving LLMs on their own NVIDIA GPUs. It supports application-level inference and server deployments, with performance optimizations for workloads spread across one or several machines.

PhotoMaker generates personalized portraits and artwork from reference images and text prompts. It's for people creating photos or avatars that retain a person's recognizable features across different settings and styles.

ACE-Step Studio is a desktop AI music generator for musicians and anyone who wants to create songs on their own hardware. It turns a short idea, or a description with lyrics, into a full vocal track or instrumental.

Soup is a local LLM fine-tuning tool for developers and teams adapting models to their own datasets. It brings training, evaluation and export into one workflow that runs on your own hardware without requiring a cloud service.

SD.Next is a self-hosted web interface for artists and researchers who want to create and edit AI images and videos on their own hardware. It supports Stable Diffusion and other diffusion models.

Axolotl is a free, open-source LLM fine-tuning framework for developers and researchers adapting models to their own data. It supports training on local hardware or cloud infrastructure you control.

OneTrainer trains diffusion models on your own machine for people adapting image or video models to their own datasets. Its graphical interface brings dataset preparation, training and output previews into one application.

OpenRLHF is a self-hosted Python framework for researchers and teams training language models with human feedback or custom rewards. It supports fine-tuning and reinforcement learning on your own GPU hardware, including training agents that interact with an environment.

Ludwig is a framework for developers and researchers training custom AI models without writing their own training loops. It handles preprocessing, training and evaluation from a model definition, covering LLMs as well as tabular and multimodal tasks.

FastChat is a self-hosted LLM platform for developers and researchers who want to serve chat models on their own hardware and compare their responses. It powers Chatbot Arena and includes a locally hosted side-by-side comparison interface. The Python code is open source under Apache 2.0; model licenses apply separately, including Llama's license for Vicuna.

lm-evaluation-harness is a Python framework for researchers and developers comparing language models on shared benchmarks. Public prompts help make results comparable across model checkpoints and research papers.

Fooocus generates images on your computer for people who want to work from prompts without extensive settings adjustments. It uses Stable Diffusion XL and works offline after the required models are downloaded.

AgileRL is an open-source Python framework for teams training AI agents on their own tasks, including LLM agents and agents for robotics, finance or logistics. Its evolutionary hyperparameter tuning adjusts training settings during a run, reducing the need for separate tuning trials. The framework uses the Apache 2.0 license.

Step1X Edit edits existing images from written requests. It's for developers and researchers who want to run image editing on their own hardware, with control over the model and specialized training.

Krita AI Diffusion adds AI image generation to the painting workspace for artists who want to refine artwork without leaving Krita. It lets you direct changes through selections and visual input.

PEFT is a library for developers adapting pretrained AI models on their own hardware. It trains a small portion of a model's parameters to reduce the compute and storage costs of full fine-tuning.

biniou brings AI chat and media creation into one browser interface on your own computer or server. It's for people who want to work with several kinds of generative AI without switching between separate apps.

FinGPT is a financial LLM framework for researchers and developers building tools that interpret market news and company information. It includes trained models, financial datasets, and tools for adapting models to specific finance tasks.

Stability Matrix is a desktop app for people who want to use several Stable Diffusion interfaces with one model library. It manages local Web UI packages and includes its own interface for generating images.

Gemma is Google DeepMind's family of open-weight AI models for developers building applications on their own hardware. It includes compact models for mobile and IoT devices and larger models for reasoning on personal computers and servers.

GPTQModel is a Python toolkit for developers compressing LLMs and running them on their own hardware or servers. It combines model preparation, quality evaluation and inference so you can assess compression choices within one workflow.

Kohya's GUI is a browser interface for training image generation models, aimed at artists and model makers who want to teach a model a style or subject. It builds on Kohya's Stable Diffusion training scripts and also provides a command-line interface.