Qwen3.5-0.8B-weight-space-programming
RikiyaT · Kit
Qwen3.5-0.8B with two weight matrices edited by an LLM, with no training, to stop its thinking loops and do better at math. An experimental model for researche…
RikiyaT · Kit
Qwen3.5-0.8B with two weight matrices edited by an LLM, with no training, to stop its thinking loops and do better at math. An experimental model for researche…
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…
nvidia · Kit
Reads multi-camera driving footage, a navigation instruction and motion history, then outputs a driving trajectory with a written reason, and answers questions…
google · Kit
An instruction-tuned 31B model from Google DeepMind that reads text and images and writes text, with a 256K context and configurable thinking. For developers w…
KBlueLeaf · Kit
A fine-tune of the MOSS-Image-Base text to image model by KBlueLeaf that shrinks the huge values in its internal stream while keeping outputs close to the base…
HAL-X-AI · Kit
Answers plain-language questions about a message, document, image or chart with a probability for every option, in tens of milliseconds. For developers who rou…
baidu · Kit
Parses document images and multi-page PDFs into text with a 3.3B vision-language model from Baidu. For developers who add OCR and document parsing to their own…
BAAI · Kit
Improves its own solutions over several rounds of propose, measure, reflect and revise, using a 27B model from BAAI. For agent researchers and developers worki…
baidu · Kit
Baidu's 3.3B document parsing model for long documents, using SR-SWA attention to keep decoding cost nearly flat, with Transformers and SGLang routes. Suits te…
Oomni · Kit
Reads text aloud in 11 Indian languages with a male and a female voice, on a GPU or a plain CPU. Made for developers who add speech to apps.
maritaca-ai · Kit
Maritaca AI's small Portuguese and English model built on Qwen3.5-4B, with Think and Instruct modes and strong tool use, in BF16 for vLLM and SGLang. Suits dev…
KRAFTON · Kit
Generates text and follows instructions in Korean and English, keeps conversation context and calls tools. A 3.1B-parameter language model with a 262,144-token…
IFM · Kit
A 29B world model from IFM at MBZUAI that turns a scene and described actions into a video of up to 20 seconds, so an agent can preview outcomes. For researche…
taobao-mnn · Kit
A small English and Chinese instruction tuned language model of about 300M parameters, designed with the MNN stack for running on phones and tablets. Suits dev…
google · Kit
Google DeepMind's open embedding model that places text, code, images, video and audio in one 768 number vector space, built to run on laptops and phones. Suit…
meituan-longcat · Kit
Meituan LongCat's multimodal mixture of experts model for long agent tasks and coding, with about 1.6 trillion total parameters and 48 billion active per token…
tencent · Kit
A five-layer draft model that guesses 16 tokens in parallel for Qwen3.8-27B, so the large model can check them together. Made for teams that serve that model.
Qwen · Kit
Reads text, images and video and replies in text, with a 27B open model tuned for coding, research and multi-step agent work. Suits developers who run models t…
NousResearch · Kit
Answers politically sensitive questions with a 27B text model that Nous Research retrained from Qwen3.8-27B to shift its viewpoint. Made for assistant builders…