Laguna XS 2.1
poolside · Kit
Writes code and works through long coding tasks with tool calls, using a 33B mixture-of-experts model that activates 3B parameters per token. For developers wh…
poolside · Kit
Writes code and works through long coding tasks with tool calls, using a 33B mixture-of-experts model that activates 3B parameters per token. For developers wh…
Poindexter-Labs · Kit
Returns structured decisions from plain-language context: pick one option, judge a yes or no claim, or score an item against a rubric. For developers building…
p99lab · Kit
Detects when a speaker has finished talking and when someone is cutting in, using audio alone on a CPU in real time. It suits builders of voice agents and call…
ornith-ai · Kit
GGUF copy of a 9B open-source coding-agent model, trained with reinforcement learning to write solutions and the scaffolding around them. Built for single-GPU…
OmniJev · Kit
Reads a screenshot, photo, video or text with a few typed questions and returns a probability for each answer option in one pass. Built for developers of scree…
OmniJev · Kit
Reads a screenshot, photo, video or text plus your typed questions and returns a probability for each answer option, such as what an agent should do next or wh…
OmniJev · Kit
Answers typed questions about a screenshot, photo, video or text with a probability for each option. It suits developers who need fast decisions in an agent lo…
mistralai · Kit
An open-weights text-to-speech model from Mistral with 20 preset voices in nine languages, streaming output and low latency. Made for developers who build voic…
migtissera · Kit
GGUF builds of Tess-4.5, a 27B open-weights coding and agent model, for llama.cpp, with a vision projector and optional draft heads for faster generation. They…
microsoft · Kit
A compact coding agent model that works through a repository, finds bugs, edits files and runs tests with a five-tool framework called Leaf. Made for developer…
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…
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…
Meanblock · Kit
Reads a decision from a small model's option probabilities on an ordinary laptop CPU, with no GPU and a browser interface. For developers who want quick routin…
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…
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…
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…
Jackrong · Kit
Trims wasted reasoning in long agent tasks, as a GGUF build of the second Flash fine-tune of Qwen3.8-27B with better Python formatting. For people who run agen…
Jackrong · Kit
Writes code, calls tools and works through software tasks as a coding agent. A 27.8B fine-tune of Qwen3.8-27B by Jackrong, trained on about 200,000 code and re…