Fara1.5-9B
microsoft · Kit
A computer use agent model from Microsoft Research that reads browser screenshots and picks the next click, typing or scroll to finish web tasks. It suits deve…
microsoft · Kit
A computer use agent model from Microsoft Research that reads browser screenshots and picks the next click, typing or scroll to finish web tasks. It suits deve…
Mia-AiLab · Kit
Quantized copy of GLM-5.3-Flash in EXL3 format, 156 GB, with narrower routed experts, about 11 percent smaller than the same lab's 4-bit version. For people ru…
mesmertech · Kit
Tells whether English text is human-written, AI-written or AI-edited and labels each sentence. For editors, teachers and researchers who want a signal, not pro…
meituan-longcat · Kit
Mixture-of-experts text model with 69B parameters, about 3B active per token, sparse attention and a 1M-token context. For teams hosting long-context models fo…
meituan-longcat · Kit
Multimodal mixture-of-experts model for long agentic tasks such as codebase work, full project builds and creative design, in a compressed W4A4 build. For team…
MaziyarPanahi · Kit
Small decider that returns a calibrated probability for what an agent should do next and which tool it should call. For developers building agents and support…
MaziyarPanahi · Kit
Small judge model that returns a calibrated probability on whether a reply is backed by its source, whether text is unsafe, and which task or domain it belongs…
mayocream · Kit
Detects text, sound effects, speech bubbles and panels on manga pages, returning boxes and masks. For people building manga translation and cleanup tools with…
maylore-ai · Kit
Rust coding model of 4.2B parameters, built on Qwen3.5-4B, that answers requests in Russian and English. For Rust developers who want a small model for functio…
manycore-research · Kit
Reads 3D point clouds and writes a structured scene layout with walls, doors, windows and labelled object boxes. For researchers and developers working on robo…
llm-jp · Kit
A 33.2B-parameter English and Japanese text generation model from the LLM-jp project. Post-trained with SFT and DPO, it has a 65,536-token context, Apache 2.0…
Linkup-Platform · Kit
A 188M-parameter English sparse retrieval model from Linkup that turns queries and documents into weighted word lists for search. It scores 56.4 on BEIR, the b…
kyutai · Kit
A 100M-parameter text-to-speech model from Kyutai that runs on CPUs in six languages, streams audio with about 200 ms to the first chunk, and works from Python…
Kwaipilot · Kit
An open-weight coding model from Kwaipilot, a mixture-of-experts with 35B total and 3B active parameters, tuned for agentic coding and fewer tool-call glitches…
khazarai · Kit
Debugs and reviews code by checking real files before it proposes a fix, a Qwen3.8-27B fine-tune trained on 195M tokens of reasoning traces. For developers who…
kakoka · Kit
Helps write and change PostgreSQL source code with a 27B coding model, 8-bit quantized to run locally on Apple Silicon Macs through oMLX. For PostgreSQL develo…
Jundot · Kit
A mixed-precision MLX copy of Qwen3.8-27B at about 6.9 bits per weight, with the vision encoder and multi-token prediction head included, for running locally o…
Jundot · Kit
A mixed-precision MLX copy of Qwen3.6-35B-A3B at about 6.8 bits per weight, with the vision encoder and multi-token prediction head included, for running local…
jstarks · Kit
Google's Gemma 4 E4B-it with 0.002% of its weights edited directly, no training, to fix stalls in thinking mode with tool calls and multi-step math. Also ships…
JamieBradfield · Kit
Calls tools and follows instructions with almost no thinking delay, as a 4.1B fine-tune of Spark-X2.6-4B. Made for people building fast local agents that need…