Tags :local deployment of open source large modeling tools

Comprehensive Introduction Nexa AI is a platform focused on multimodal AI solutions that run locally. It offers a wide range of AI models, including Natural Language Processing (NLP), Computer Vision, Speech Recognition and Generation (ASR and TTS), all of which can be run locally on devices without relying on cloud...

Comprehensive Introduction vLLM is a high-throughput and memory-efficient reasoning and service engine designed for Large Language Modeling (LLM). Originally developed by the Sky Computing Lab at UC Berkeley, it has become a community project driven by academia and industry. vLLM aims to provide...

Comprehensive Introduction Harbor is a revolutionary containerized LLM toolset focused on simplifying the deployment and management of local AI development environments. It enables developers to launch and manage all AI services including LLM backends, API interfaces, front-end interfaces, etc. with a single click through a clean command line interface (CLI) and companion application...

Comprehensive Introduction Xorbits Inference (Xinference for short) is a powerful and versatile library focused on providing distributed deployment and serving of language models, speech recognition models, and multimodal models. With Xorbits Inference, users can easily deploy and serve their own models or built-in prior...

Comprehensive Introduction AI Dev Gallery is an AI development tools application from Microsoft (currently in public preview) designed for Windows developers. It provides a comprehensive platform to help developers easily integrate AI features into their Windows applications. The most notable feature of the tool...

Comprehensive Introduction LightLLM is a Python-based Large Language Model (LLM) inference and service framework known for its lightweight design, ease of extension, and efficient performance. The framework leverages a variety of well-known open source implementations, including FasterTransformer, TGI, vLLM, and FlashAttention ...

Comprehensive Introduction GLM-Edge is a series of large language models and multimodal understanding models designed for end-side devices from Tsinghua University (Smart Spectrum Light Language). These models include GLM-Edge-1.5B-Chat, GLM-Edge-4B-Chat, GLM-Edge-V-2B, and GLM-Edge-V-5B, which are applicable to cell phones,...

General Introduction Exo is an open source project designed to run its own AI cluster using everyday devices (e.g. iPhone, iPad, Android, Mac, Linux, etc.). Through dynamic model partitioning and automated device discovery, Exo is able to unify multiple devices into a single powerful GPU, supporting multiple models such as LLaMA, Mis...

General Introduction LocalAI is an open source local AI alternative designed to provide API interfaces compatible with OpenAI, Claude, and others. It supports running on consumer-grade hardware, does not require a GPU, and is capable of performing a wide range of tasks such as text, audio, video, image generation, and speech cloning.LocalAI by Ettore ...

General Introduction llamafile is a tool from the Mozilla Builders project designed to simplify the deployment and operation of the Large Language Model (LLM). By combining llama.cpp with Cosmopolitan Libc, llamafile simplifies the complex LLM deployment process into a single executable file,...