Sabi-Noema
sabicap · Kit
A 27B agentic text model built on Qwen3.8-27B with open-source RL environments, reporting higher terminal and coding-agent scores, for developers building codi…
sabicap · Kit
A 27B agentic text model built on Qwen3.8-27B with open-source RL environments, reporting higher terminal and coding-agent scores, for developers building codi…
openjev · Kit
Answers typed decisions about text, web pages and screenshots, picking a choice, a yes-or-no probability or a score from your own labels in one forward pass. F…
thinkingmachines · Kit
Reads text, images and audio and writes text, as a huge open multimodal model for coding assistants, agents and chatbots. For developers with multi-GPU servers…
unsloth · Kit
Runs Flint, a 39.8B mixture-of-experts model for coding agents that uses about 2.5B parameters per token, from Unsloth GGUF files. For developers who run codin…
inclusionAI · Kit
Generates text with a 7.9B hybrid reasoning model that activates only 1.3B parameters per token, so it fits local and low-resource setups. Suits developers who…
Cactus-Compute · Kit
A small on-device model from Cactus Compute for tool calling, structured extraction and text embeddings, used through the cactus Python package. For developers…
beipo-ai · Kit
Reads screenshots and requests, then writes reasoning and tool calls for an agent that drives a desktop or browser. For teams with a large GPU setup who build…
XHToken · Kit
A compact 4B language model in GGUF form for on-device use, tuned for coding, agents and long context, with three thinking levels from none to high. Works in E…
thinkingmachines · Kit
Reads text, images and audio and replies in text, for developers building assistants, coding tools and agents. A sparse mixture-of-experts model with 276B para…
meta-models · Kit
Reads text and images and carries out agent tasks such as tool calls and multi-step reasoning on a local machine, in a 30B model distilled from Muse Spark. For…
rayline-ai · Kit
Reads an agent's conversation and predicts which model will succeed, how many tokens it will use and how much reasoning to spend, so apps can route requests by…
sahilmahendrakar · Kit
Turns speech into text on a device and predicts each word before the speaker finishes it, scoring every word. A 16.8 MB English model for voice agents and live…
agents-course · Kit
Collects the notebooks of the Hugging Face Agents Course, covering a dummy agent library, smolagents, LlamaIndex, LangGraph and two bonus units. For learners b…
XHToken · Kit
A 4.1B language model for coding, agent work and long context in English and Chinese, with three thinking levels. For developers building agents that run on th…
microsoft · Kit
Operates a computer from screenshots and terminal commands with one small vision-language model of about 4B parameters, made by Microsoft for people who build…
RecursiveSI · Kit
A 39.8B mixture-of-experts language model for coding agents that investigates codebases, fixes bugs, adds features and writes tests. For developers who run the…
bstraehle · Kit
A Gradio demo of several AI agents built with Microsoft AutoGen that work together on a coding task. Use it in the browser on Hugging Face or run a copy on you…
A small Streamlit page that explains the core ideas of multi-agent systems: autonomous agents, their environment, a ruleset, and how agents cooperate or compet…
townbox · Kit
Textures 3D meshes from a text prompt and returns a GLB with one baked colour texture. Built for AI agents and developers, with a REST API and an MCP endpoint.
townbox · Kit
Rigs a static 3D model and animates it from a one-line prompt, returning a rigged, animated GLB. Built for AI agents and developers, through REST, MCP or the b…