Tools tagged with "Hugging Face integration"

LLMKube manages self-hosted LLM inference for teams and homelab owners who need several machines to serve models together. It brings Linux GPU servers and Apple Silicon Macs into the same Kubernetes-managed fleet.

MLX VLM is a Python package for developers and researchers who want to run multimodal models on their own Mac. It supports local inference and fine-tuning through MLX.

Falcon-H1 is a family of language models from the Technology Innovation Institute for developers building AI applications on their own hardware. Smaller models suit edge devices, while larger variants target server deployments.

Stable Fast 3D generates a textured 3D asset from a single object image. Built on TripoSR, it's aimed at game and VR developers, designers and people making product models for e-commerce.

HunyuanWorld generates explorable 3D environments from text prompts or images. It's for game developers, VR creators and researchers who need scene geometry for interactive content or physical simulation.

VideoCrafter generates video on your own hardware from written prompts or still images. It's aimed at researchers and people exploring video generation for personal use; the toolbox limits use to personal, research and non-commercial purposes.

Inspect AI is a Python framework for researchers and developers evaluating language models and AI agents. It measures coding, reasoning, knowledge, behavior and multimodal understanding, including tasks where agents must take actions to succeed.

Stable Audio Open generates audio from text for artists and researchers experimenting with sound effects, field recordings and music samples. It performs better on effects and environmental sounds than music, and it can't generate realistic vocals.

OfflineLLM is an on-device AI chat app for Android users who want to run models locally without sending conversations to a cloud service. It works fully offline and has no network permissions.

Jan is a desktop AI chat app for people who want to run models on their own computer while retaining the option to use cloud providers. Local model use works offline; choosing a hosted model sends requests to that provider.

Dr Doc Search is a self-hosted Python application for asking questions about PDF books and documents. It's for readers who want answers drawn from a particular text and a choice between OpenAI and HuggingFace models. The code is open source under the MIT license.

HunyuanDiT is a local text-to-image model for people generating images from Chinese or English prompts. It handles detailed descriptions and Chinese cultural references, including poetry, idioms, food and architecture.

Nativ is a macOS app for people who want AI chat and coding tools to use models running on their own Mac. It combines a chat workspace, model library, and local inference server.

ColBERT is a self-hosted neural search library for developers building document search or retrieval for AI applications. It finds relevant passages in your own text collections and stores their search representations on disk. The Python project is open source under the MIT license.

mergekit combines pretrained language models into one model for developers and researchers who want to combine specialized skills or balance model behaviors. It works directly with model weights, without additional training or access to the original training data.

LiteRT is Google's framework for developers adding machine learning and generative AI to apps that run on users' devices. It succeeds TensorFlow Lite and supports local inference without a server round trip.

Prodigy is an annotation tool for developers and research teams building training and evaluation datasets for custom AI models. It runs on your own machines and provides a web interface where annotators can label data without programming knowledge.

MOSS is a conversational language model from Fudan University for developers and researchers who want to run and adapt a local LLM. It includes model weights, dialogue datasets and fine-tuning code.

Qwen3 is a language model family from Alibaba Cloud's Qwen team for people building chat applications or running models on their own hardware. Its public weights include dense and mixture-of-experts models in smaller and larger sizes.

AnimateDiff generates animations with personalized Stable Diffusion models for artists and developers who want motion in their chosen visual style. Compatible image models don't need separate animation training.

pyannote.audio is a Python toolkit for developers and researchers who need to separate recordings by speaker. Speaker diarization identifies who spoke when, so applications can associate parts of an audio recording with different speakers.

Qwen3-TTS is a family of local text-to-speech models for developers building speech applications or creating audio with custom voices.

exo is a local LLM runner for people who want to run models too large for a single machine's memory. It joins devices into a cluster and runs inference on your own hardware.

H2O LLM Studio helps teams adapt language models to their own datasets through a browser interface, without writing training code. It's aimed at organizations building models for specific tasks.

ColGREP helps developers and coding agents find relevant code even when they don't know the exact words to search for. It runs locally, while NextPlaid, the search engine behind it, can also serve other retrieval applications on a self-hosted server.

Sentence Transformers is a Python library for developers building search and document retrieval on their own hardware. It helps match content by meaning and rank results against a query.

Qwen2.5-VL is a vision-language model for developers building visual assistants, document processing applications and screen-based agents. It answers questions about images and video and can return structured data for software to use.

Stable Diffusion XL is an image generation model for creators and developers who want to produce images on their own hardware or servers. You can start with a text prompt or use an existing image as input.

Needle is an AI model for developers building device assistants that turn requests into actions. It prioritizes automation over general chat, with smaller model variants for devices that have limited resources.

Diffusers is a Python library for developers and researchers building image, video and audio generation into applications or running models on their own hardware. It supports pretrained generation pipelines as well as custom diffusion systems.

ms-swift is a Python framework for developers and researchers training and deploying language and multimodal models on their own hardware. It covers model adaptation through evaluation and serving, with support for Qwen3, DeepSeek-R1, Llama4, Mistral, Qwen3-VL and InternVL3.5.

Flash Linear Attention is a Python library for researchers and developers building language models on their own hardware. It supplies reusable components for exploring linear attention, sparse attention and state space architectures.

NeMo Curator is an open source Python toolkit for ML engineers and data teams preparing AI training datasets. It provides repeatable curation pipelines that can run on a laptop or across a multi-node Ray cluster.

Pretype is a local AI writing assistant for people who want sentence suggestions across their Mac apps. It works in native apps, Electron apps and web text fields without separate plugins for each app.