Tools tagged with "llama.cpp backend"

SmolChat is an Android app for people who want to chat with language models running on their own phone. It uses llama.cpp to run GGUF models on-device, including small language models. Inference stays on your device.

llama.rn brings llama.cpp into React Native apps so developers can run local LLM inference on iOS and Android. It's an MIT-licensed library for building AI features into a mobile app, with model processing on the device. It uses GGUF models and requires React Native's New Architecture.

Augmentoolkit turns your documents into training data for a custom LLM that learns a particular subject. It's for researchers, developers and hobbyists who want models trained on their own material, such as research papers or fictional lore. The Python toolkit is open source under the MIT license and runs on macOS and Linux, with WSL recommended for Windows.

jetson-containers is a Docker container build system for developers running local AI and robotics workloads on NVIDIA Jetson hardware. It supplies prebuilt images and lets you combine AI packages into custom containers, reducing the work of assembling compatible GPU software for JetPack/L4T.

Home-LLM connects Home Assistant to language models running on your own hardware, so you can control smart devices through voice or chat. It's for Home Assistant users who want natural language control without relying on a cloud service or subscription. The project pairs a custom integration with small models trained specifically for smart home commands.

GOT-OCR2.0 is an OCR model for developers and researchers who want to extract text from images on their own hardware. It handles both plain text and formatted output through a single model, with recognition modes for selected regions and documents spanning multiple pages. The Python codebase builds on Vary.

Maid is an Android AI chat app for people who want to run models on their phone and access remote models in the same app. It runs GGUF models locally through llama.cpp without an internet connection. It's open source under the MIT license, with no ads or telemetry.

text-generation-webui, also called TextGen, runs language models on your own hardware through a desktop app or a self-hosted browser interface. It's for people who want private chat and writing tools, and developers who need a local model API. It works offline without telemetry; web search and page fetching use the internet.

llamafile puts an LLM and the software that runs it into a single executable. It’s for people who want to run models locally or share them with others without asking each recipient to set up a separate runtime. The project is open source under Apache 2.0.

kotaemon is a self-hosted document chat app for people who want to ask questions across their files and check where the answers came from. It runs in a browser on Windows, macOS or Linux, with Docker also supported. The project uses the Apache 2.0 license.

llama-cpp-python brings llama.cpp model inference into Python applications and exposes it through a self-hosted OpenAI-compatible server. It's for developers building local AI applications or connecting existing API clients to models on their own hardware. The package is open source under the MIT license.

RamaLama runs and serves AI models on your own hardware using OCI containers. It's aimed at developers who want local chat or a self-hosted inference API with a container workflow they can also use in production. The project uses the MIT license.

KoboldCpp pairs local model inference with a browser interface built for chat, creative writing and roleplay. A fork of llama.cpp, it bundles KoboldAI Lite with tools for keeping character details and story context alongside your conversations. It's open source under AGPL-3.0.

PocketPal AI is an open source assistant for people who want to run language models on a phone or tablet. It works on iOS, iPadOS and Android. Once you've downloaded a model, you can chat offline without an account, and your prompts, replies and documents stay on your device. The app is licensed under MIT.

Guidance is an MIT-licensed, open source Python library for developers who need language model output to follow a defined format. It works with local LLM backends including Transformers and llama.cpp, as well as OpenAI's cloud service. It's for application code.

DocsGPT is an MIT-licensed, open-source platform for teams that want AI search, assistants and agents over their own documents. It can run on your servers with local models, including fully air-gapped deployments where documents and questions stay inside your network. Answers include the source title and page number so readers can check the evidence.

Garak is an open-source LLM vulnerability scanner for developers and security teams assessing models or dialogue systems. It tests local models as well as cloud services, so you can assess a model running on your own hardware or an application exposed through an API. The Python tool uses the Apache 2.0 license.

PrivateGPT is a self-hosted API layer for developers building AI applications around local models. It adds document retrieval, database access and agent tools to an existing model server. Local workflows can work offline and keep data within your environment; web search and connections to online providers need internet access.

Lemonade is an open source local AI server for people who want to use models on their own hardware or connect them to apps and agents. It handles chat, coding, image generation, speech, transcription, and embeddings. A built-in interface lets you use those capabilities directly, while its server makes them available to other software.

Local Deep Research is a self-hosted AI research assistant for people who need cited answers drawn from academic papers, the web and their own documents. It can produce a quick summary or pursue a complex question through repeated searches, then assemble a structured report. It's open source under MIT.

txtai is a Python framework for developers building search applications, chat with their data, and AI agents on their own hardware or servers. Its embeddings database combines sparse and dense vector search with graphs and relational data, so the same system can find related content and supply context to language models. It's open source under Apache 2.0.

Xinference serves language, speech and multimodal models through a shared API on your own computer or servers. It's an open source platform under Apache 2.0 for developers and researchers who want to build applications around models they host. You can also deploy it on cloud infrastructure.

llama-swap is a self-hosted proxy for people running several AI models on their own hardware. It starts the model server a request needs and swaps out another when necessary, so you don't have to keep every model loaded or manage separate API connections in your apps.

ChatterUI is an Android chat app for people who want to run a local LLM on their phone or use the same interface with a remote model. It supports assistant conversations and character chats, with controls for how chats are structured and how models generate replies. It's open source under AGPL-3.0.

GPT4All is a local AI chatbot for people who want to run language models on their own desktop or laptop and keep conversations on their machine. Its LocalDocs feature lets you ask questions about your own documents without sending them to a cloud service. It suits developers, teams and individuals who want control over their models and data.

Marker is a local document converter for developers and teams turning PDFs, scans and Office files into structured text. It preserves tables, equations and page structure for document processing and AI workflows. Its pipeline reads embedded PDF text and uses Surya OCR where text is missing or damaged, rather than reading every page through a vision model.

Instructor is an open-source library for developers who need structured data from local LLMs or cloud models. It turns natural-language input into typed objects that applications can use, with validation and retries built into the extraction process. Its focus is data extraction.

avante.nvim brings Cursor-style AI assistance into Neovim for developers who want to keep their editor and choose their own model backend. It answers questions about code, suggests changes and applies edits directly to source files. The plugin is open source under Apache 2.0.

Outlines is an open-source Python library for developers who need LLM responses to match a defined structure. It constrains output during generation, reducing the need to repair malformed JSON or retry responses that don't fit an application's requirements. The library uses the Apache 2.0 license.

node-llama-cpp is an open source library for developers adding local LLM inference to JavaScript and TypeScript applications. It connects Node.js, Bun and Electron to llama.cpp, running GGUF models on your own machine. Its MIT license allows use in commercial projects.

gptel brings LLM conversations into the Emacs buffers where you already write and work. It's for Emacs users who want AI help alongside their text or code, with a choice of local model servers and cloud providers. The client is open source under GPL-3.0.

Surya is a local OCR toolkit for developers extracting text and structure from PDFs and document images. It combines text recognition, layout analysis and table recognition in one vision-language model, so results retain page structure and reading order rather than just the words.

Msty Studio is a private AI workspace for chatting with local or hosted models and working with your own documents. It offers a desktop app alongside web and team deployment options. Local model support includes MLX, llama.cpp and Ollama.

Docker Model Runner lets developers run and serve AI models on their own computer or server using Docker Desktop, Docker Engine or the standalone dmr binary. It pulls models from Docker Hub, OCI registries, and Hugging Face, then stores them locally. Inference runs locally too.

Interpreter reads Japanese text from game windows and displays English translations over your screen. It's built for people playing Japanese retro games, with MeikiOCR tuned for game text and pixel fonts. The default OCR and Sugoi V4 translation models run locally, so text stays on your computer and no internet connection is needed after setup. It's open source under the MIT license, with support for Windows, macOS and Linux.

Vyact is an open source desktop workspace for people who want to use a local LLM with their documents, email and code. It runs on Apple Silicon Macs, Windows and Linux x64 under the AGPL-3.0 license. Intel Macs aren't supported.