If you tried Jan Desktop and liked it, please also check out the following awesome collection of open source and/or local AI tools and solutions.
Your contributions are always welcome!
| Repository | Description | Supported model formats | CPU/GPU Support | UI | language | Platform Type |
|---|---|---|---|---|---|---|
| llama.cpp | - Inference of LLaMA model in pure C/C++ | GGML/GGUF | Both | ❌ | C/C++ | Text-Gen |
| Nitro | - 3MB inference engine embeddable in your apps. Uses Llamacpp and more | Both | Both | ❌ | Text-Gen | |
| ollama | - CLI and local server. Uses Llamacpp | Both | Both | ❌ | Text-Gen | |
| koboldcpp | - A simple one-file way to run various GGML models with KoboldAI's UI | GGML | Both | ✅ | C/C++ | Text-Gen |
| LoLLMS | - Lord of Large Language Models Web User Interface. | Nearly ALL | Both | ✅ | Python | Text-Gen |
| ExLlama | - A more memory-efficient rewrite of the HF transformers implementation of Llama | AutoGPTQ/GPTQ | GPU | ✅ | Python/C++ | Text-Gen |
| vLLM | - vLLM is a fast and easy-to-use library for LLM inference and serving. | GGML/GGUF | Both | ❌ | Python | Text-Gen |
| SGLang | - 3-5x higher throughput than vLLM (Control flow, RadixAttention, KV cache reuse) | Safetensor / AWQ / GPTQ | GPU | ❌ | Python | Text-Gen |
| LmDeploy | - LMDeploy is a toolkit for compressing, deploying, and serving LLMs. | Pytorch / Turbomind | Both | ❌ | Python/C++ | Text-Gen |
| Tensorrt-llm | - Inference efficiently on NVIDIA GPUs | Python / C++ runtimes | Both | ❌ | Python/C++ | Text-Gen |
| CTransformers | - Python bindings for the Transformer models implemented in C/C++ using GGML library | GGML/GPTQ | Both | ❌ | C/C++ | Text-Gen |
| llama-cpp-python | - Python bindings for llama.cpp | GGUF | Both | ❌ | Python | Text-Gen |
| llama2.rs | - A fast llama2 decoder in pure Rust | GPTQ | CPU | ❌ | Rust | Text-Gen |
| ExLlamaV2 | - A fast inference library for running LLMs locally on modern consumer-class GPUs | GPTQ/EXL2 | GPU | ❌ | Python/C++ | Text-Gen |
| LoRAX | - Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs | Safetensor / AWQ / GPTQ | GPU | ❌ | Python/Rust | Text-Gen |
- oobabooga - A Gradio web UI for Large Language Models
- LM Studio - Discover, download, and run local LLMs.
- LocalAI - LocalAI is a drop-in replacement REST API that’s compatible with OpenAI API specifications for local inferencing.
- FireworksAI - Experience the world's fastest LLM inference platform deploy your own at no additional cost.
- faradav - Chat with AI Characters Offline, Runs locally, Zero-configuration.
- GPT4All - A free-to-use, locally running, privacy-aware chatbot
- LLMFarm - llama and other large language models on iOS and MacOS offline using GGML library.
- LlamaChat - LlamaChat allows you to chat with LLaMa, Alpaca and GPT4All models1 all running locally on your Mac.
- LLM as a Chatbot Service - LLM as a Chatbot Service
- FuLLMetalAi - Fullmetal.Ai is a distributed network of self-hosted Large Language Models (LLMs)
- Automatic1111 - Stable Diffusion web UI
- ComfyUI - A powerful and modular stable diffusion GUI with a graph/nodes interface.
- petals - Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
- ChatUI - Open source codebase powering the HuggingChat app
- H2OAI - H2OGPT The fastest, most accurate AI Cloud Platform
- BentoML - BentoML is a framework for building reliable, scalable, and cost-efficient AI applications.
- Predibase - Serverless LoRA Fine-Tuning and Serving for LLMs.
- Jan Framework - At its core, Jan is a cross-platform, local-first and AI native application framework that can be used to build anything.
- Pinecone - Long-Term Memory for AI
- PoplarML - PoplarML enables the deployment of production-ready, scalable ML systems with minimal engineering effort.
- Datature - The All-in-One Platform to Build and Deploy Vision AI
- One AI - MAKING GENERATIVE AI BUSINESS-READY
- Gooey.AI - Create Your Own No Code AI Workflows
- Mixo.io - AI website builder
- Safurai - AI Code Assistant that saves you time in changing, optimizing, and searching code.
- GitFluence - The AI-driven solution that helps you quickly find the right command. Get started with Git Command Generator today and save time.
- Haystack - A framework for building NLP applications (e.g. agents, semantic search, question-answering) with language models.
- LangChain - A framework for developing applications powered by language models.
- gpt4all - A chatbot trained on a massive collection of clean assistant data including code, stories and dialogue.
- LMQL - LMQL is a query language for large language models.
- LlamaIndex - A data framework for building LLM applications over external data.
- Phoenix - Open-source tool for ML observability that runs in your notebook environment, by Arize. Monitor and fine tune LLM, CV and tabular models.
- trypromptly - Create AI Apps & Chatbots in Minutes
- BentoML - BentoML is the platform for software engineers to build AI products.
- SuperAGI - Opensource AGI Infrastructure
- Auto-GPT - An experimental open-source attempt to make GPT-4 fully autonomous.
- BabyAGI - Baby AGI is an autonomous AI agent developed using Python that operates through OpenAI and Pinecone APIs.
- AgentGPT -Assemble, configure, and deploy autonomous AI Agents in your browser.
- HyperWrite - HyperWrite helps you work smarter, faster, and with ease.
- AI Agents - AI Agent that Power Up Your Productivity
- AgentRunner.ai - Leverage the power of GPT-4 to create and train fully autonomous AI agents.
- GPT Engineer - Specify what you want it to build, the AI asks for clarification, and then builds it.
- GPT Prompt Engineer - Automated prompt engineering. It generates, tests, and ranks prompts to find the best ones.
- MetaGPT - The Multi-Agent Framework: Given one line requirement, return PRD, design, tasks, repo.
- Open Interpreter - Let language models run code. Have your agent write and execute code.
- FastChat - An open platform for training, serving, and evaluating large language models.
- DeepSpeed - DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
- BMTrain - Efficient Training for Big Models.
- Alpa - Alpa is a system for training and serving large-scale neural networks.
- Megatron-LM - Ongoing research training transformer models at scale
- Ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models.
- Nanotron - Minimalistic large language model 3D-parallelism training
- Open LLM Leaderboard - aims to track, rank and evaluate LLMs and chatbots as they are released.
- Chatbot Arena Leaderboard - a benchmark platform for large language models (LLMs) that features anonymous, randomized battles in a crowdsourced manner.
- AlpacaEval Leaderboard - An Automatic Evaluator for Instruction-following Language Models
- LLM-Leaderboard-streamlit - A joint community effort to create one central leaderboard for LLMs.
- lmsys.org - Benchmarking LLMs in the Wild with Elo Ratings
- Attention Is All You Need (2017): Presents the original transformer model. it helps with sequence-to-sequence tasks, such as machine translation. [Paper]
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (2018): Helps with language modeling and prediction tasks. [Paper]
- FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness (2022): Mechanism to improve transformers. [paper]
- Improving Language Understanding by Generative Pre-Training (2019): Paper is authored by OpenAI on GPT. [paper]
- Cramming: Training a Language Model on a Single GPU in One Day (2022): Paper focus on a way too increase the performance by using minimum computing power. [paper]
- LaMDA: Language Models for Dialog Applications (2022): LaMDA is a family of Transformer-based neural language models by Google. [paper]
- Training language models to follow instructions with human feedback (2022): Use human feedback to align LLMs. [paper]
- TurboTransformers: An Efficient GPU Serving System For Transformer Models (PPoPP'21) [paper]
- Fast Distributed Inference Serving for Large Language Models (arXiv'23) [paper]
- An Efficient Sparse Inference Software Accelerator for Transformer-based Language Models on CPUs (arXiv'23) [paper]
- Accelerating LLM Inference with Staged Speculative Decoding (arXiv'23) [paper]
- ZeRO: Memory optimizations Toward Training Trillion Parameter Models (SC'20) [paper]
- TensorGPT: Efficient Compression of the Embedding Layer in LLMs based on the Tensor-Train Decomposition 2023 [Paper]