Tools tagged with "Hugging Face integration"

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.

SmolVLM is a compact vision language model for developers building applications that interpret images and answer questions about them. It can run on-device, including on laptops and smaller local setups.

Molmo is Ai2's family of vision-language models for working with images and text on your own hardware. It's aimed at developers and researchers who want to train models or evaluate them on visual tasks.

MFLUX is a Python toolkit for creators and developers who want to generate and edit images on an Apple Silicon Mac. It provides a command-line interface for working with models locally.

LivePortrait animates a portrait with facial expressions and head movements taken from a driving video. It's for creators who want to animate still faces or edit portrait videos on their own hardware.

Infinity Embeddings is a self-hosted model server for developers building semantic search and retrieval-augmented generation applications. It runs retrieval models on your own hardware and can serve several models together.

Sesame CSM is a speech generation model for developers and researchers building voice applications on their own hardware. It generates spoken output from text and audio inputs, including earlier parts of a conversation.

PixlStash is an image manager for photographers culling shoots, creators reviewing AI images and people preparing datasets. It helps you find relevant pictures and review which ones to keep in large collections.

llamafile packages a language model and its runtime in a single executable for people who want to run models locally or share a ready-to-run model with others. Recipients don't need to install a separate runtime.

Marqo Open Source is a self-hosted search engine for developers building document search, product discovery, or retrieval for AI applications. The project is deprecated and no longer receives updates.

CodeGen is a family of language models for generating programs, aimed at researchers and developers working on code generation. Salesforce AI Research studies how these models build programs through multiple rounds of prompting.

Kolors generates photorealistic images from text for creators and developers who want to run image generation on their own hardware. Developed by Kuaishou, it supports Chinese and English prompts, including descriptions of Chinese cultural content.

DeepSeek-Coder is a family of coding models for developers who want to run a model on their own hardware or build it into a coding assistant. It includes base models for completion and instruction-tuned models for coding requests written in plain language.

faster-whisper is an open source Python library for developers adding speech transcription to their software. It uses CTranslate2 to run OpenAI's Whisper models, with faster transcription and lower memory use than the original implementation in the project's benchmark comparisons.

Step-Audio 2 is an audio AI model family for developers building voice assistants and applications that interpret recordings. It can reason about what people say and how they say it, as well as sounds beyond speech.

Model2Vec is a Python package for developers who need text embeddings for search or classification on their own hardware. It turns sentence transformers into smaller static embedding models, trading a small drop in performance for lower model size and faster CPU inference.

rerankers is a Python library for developers building search and retrieval systems. It ranks candidate documents against a query and lets you compare reranking approaches through a shared interface.

LightEval is a Python toolkit from Hugging Face for developers and researchers comparing LLMs or investigating where their responses fail. It evaluates models already loaded in memory as well as models accessed through a service.

Grounding DINO locates objects in images from category names or descriptive text. It's for developers and computer vision researchers building detection or annotation workflows that need labels beyond a fixed category list.

Airux Pocket AI runs AI conversations on Android phones for people who want offline chat and photo analysis without cloud inference. You don't need an account, and downloaded models run directly on your phone.

gpt-oss is a pair of OpenAI reasoning models for developers who want to run a local LLM or serve models on their own hardware. The smaller model targets local and specialized applications; the larger one targets general-purpose tasks that need more reasoning.

Chandra OCR converts document images and PDFs into text that retains page structure. It's for people processing scans, handwritten records or documents whose tables and forms need to survive extraction.

StyleTTS 2 is a text-to-speech model for developers and speech researchers who want to generate expressive speech on their own hardware. It can choose a speaking style from the text without a reference recording.

AI Toolkit (ostris) is a training suite for people fine-tuning image and video generation models on their own hardware or rented servers. It provides a browser interface and command-line access to training jobs.

MemSearch gives coding assistants searchable project history across sessions. It's for developers who want to recover earlier fixes, revisit design decisions or continue work in another agent.

Home-LLM connects Home Assistant to language models for voice and chat control of smart devices. It's for Home Assistant users who want those requests handled on their own hardware.

verl is a Python library for researchers and engineers training large language models on their own hardware. It implements HybridFlow for reinforcement learning after initial training, with support for supervised fine-tuning too.

File Brain is a desktop search app for people who remember a document's subject but can't recall its name or location. You can describe what you're looking for and search the contents of files on your computer.

Lexicon is a writing assistant and rich-text editor for people who want to proofread and revise drafts on their own computer. Grammar checks work without an AI model, while optional local AI tools help rewrite longer passages and whole documents.

HyperWhisper is a desktop speech-to-text app for Windows and Linux that keeps recordings on your computer. It's for people captioning videos, transcribing interviews or podcasts, or turning recordings into searchable text. The interface brings transcription, editing and subtitle export into one place.

RankLLM is a Python toolkit for search researchers and developers who want to compare how AI models reorder retrieved documents by relevance. Its main focus is listwise reranking, where a model considers several candidates together. It supports local inference and optional cloud APIs, and it's open source under the Apache 2.0 license.

NeuTTS is a collection of on-device text-to-speech models for developers building voice assistants and speech-enabled apps. It generates audio on your own hardware rather than sending speech generation to a cloud API.

Atomic Chat is a local LLM app for people who want to chat with models on their own device or use them with coding assistants and AI agents. It began as a fork of Jan by Menlo Research.