Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4.1, MiniMax-H3, Gemma 4, FLUX and more.
- fine-tuning
- llama
- llms
- gemma
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Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4.1, MiniMax-H3, Gemma 4, FLUX and more.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
The simplest, fastest repository for training/finetuning medium-sized GPTs.
LlamaIndex is the document processing platform for AI
AirLLM 2.8T LLM inference with single 4GB GPU
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations
GUI for ChatGPT API and many LLMs. Supports agents, file-based QA, GPT finetuning and query with web search. All with a neat UI.
A powerful tool for creating datasets for LLM fine-tuning 、RAG and Eval
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Go ahead and axolotl questions
Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
BISHENG is an open-source enterprise Agent platform for building, deploying, and managing AI applications. It combines AI agents, workflows, RAG and knowledge management, desktop agent integration, and vibecoding app hosting with unified model management, evaluation, observability, access control, and enterprise administration.
Low-code framework for building custom LLMs, neural networks, and other AI models
QLoRA: Efficient Finetuning of Quantized LLMs
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.
Easily fine-tune (SFT/RL), evaluate, and deploy Qwen, Gemma, or any open agentic LLM/VLM!
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
TranslatedBELLE: Be Everyone's Large Language model Engine (open-source Chinese conversational large language model)
Home of StarCoder: fine-tuning & inference!
Optimize prompts, code, and more with AI-powered Reflective Optimization
Official release of InternLM series (InternLM, InternLM2, InternLM2.5, InternLM3).