NorthCUA-Nano
beipo-ai · Kit
Operates desktop and browser apps from screenshots with a 9B dense computer-use model built on Qwen3.5. Suits developers who build computer-use agents with the…
beipo-ai · Kit
Operates desktop and browser apps from screenshots with a 9B dense computer-use model built on Qwen3.5. Suits developers who build computer-use agents with the…
thinkingmachines · Kit
The NVFP4 copy of Inkling-Small, a multimodal mixture-of-experts model that takes text, images and audio and writes text. For developers building agents, codin…
sky7350 · Kit
A 4B classifier built on Qwen3.5-4B that reads an input and returns a probability for each allowed answer, for guardrails, routing, triage and agent gates. For…
ResembleAI · Kit
Speaks English text aloud with a 350M-parameter model built for low-latency voice agents, and adds laughs and coughs through tags in the text. Suits developers…
Qwen · Kit
Reasons through hard problems in a thinking mode and answers everyday chat in a faster non-thinking mode, as a 14.8B-parameter open model. Suits developers who…
gnani · Kit
Chats, answers questions and reasons in English and ten Indic languages with a 128K context. A 30B mixture-of-experts model from Gnani.ai, for teams building a…
arbazsiddiqui · Kit
Keeps the caller's voice and removes other voices from call audio before speech-to-text hears them. A 27.3M-parameter open model that streams on a CPU, with fi…
Qwen · Kit
Reads text and images and writes text, as an FP8 copy of Qwen3.6-35B-A3B with 3B active parameters. For developers who run coding agents and want a smaller dow…
Qwen · Kit
A 27B Qwen model that reads text and images and replies in text, tuned for coding agents and repository-level work, for developers who run it with the transfor…
Qwen · Kit
Works as a coding agent model with 80B total and 3B active parameters and a 256K context. For developers who run agents in CLI and IDE tools and want to host t…
MemTensor · Kit
Language model with a built-in memory state of fixed size, built on Qwen3.6-35B-A3B, that keeps past context without re-reading it. For researchers and develop…
dglhf · Kit
Helps with agentic coding, with two models trained on PostgreSQL engine tasks. Slonik-27B and Slonik-9B come from Postgres Professional, for developers who wor…
Qwen · Kit
Reads text and images and writes text, as a 27B Qwen model with a vision encoder and a 262,144-token native context. For developers who build assistants and ag…
KRAFTON · Kit
Runs a 28.8B mixture-of-experts model tuned for Korean chat, reasoning and tool-using agents in llama.cpp. GGUF copy of Raon-1 mini preview for people who run…
JuneoAI · Kit
Judges which action an AI agent should take, who should own a task and who may see what, as a 4B model that runs on your own hardware so organizational data st…
JetBrains · Kit
A 12B mixture-of-experts thinking model with 2.5B active parameters, trained with reinforcement learning on real repositories for coding agents, math and hard…
InternScience · Kit
Runs Sage-A1.5, a 35B mixture-of-experts agentic model for long scientific tasks, as a 4-bit GGUF file. It can split work across subagents and check its own pr…
ibm-granite · Kit
Reasons step by step, writes code, calls tools and chats in several languages with a context of up to 128K tokens, extendable to 512K. IBM's dense 8B model, fo…
bytkim · Kit
A 27B coding model tuned for the Pi agent framework, trained to read a repository, edit files, run tools and use their feedback, with adjustable reasoning effo…
InternScience · Kit
Works through long scientific tasks as an agent that delegates to subagents, checks its own progress and revises its plan. A 35B mixture-of-experts model for r…