Qwen3.5-0.8B
Qwen · Kit
Reads images and text and replies in text, in a small 873M model from Qwen. For developers and researchers who want a light multimodal base to prototype with o…
Qwen · Kit
Reads images and text and replies in text, in a small 873M model from Qwen. For developers and researchers who want a light multimodal base to prototype with o…
baselabs · Kit
Answers a set of questions about a situation in one pass and returns a calibrated probability for each option. A 27B decision model from Base Labs at Baseten,…
xiaomi-research · Kit
Parses documents and answers questions about text in images with one 0.8B OCR model from Xiaomi, covering tables, formulas and handwriting. For developers buil…
169Pi · Kit
Reads text, images and video and handles reasoning and coding with a 9B open-weight model built on Qwen3.5-9B, with GGUF builds for light hardware. For develop…
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…
ISTA-DASLab · Kit
GGUF versions of Qwen3.8-Flash-Next at four sizes, with each tensor quantized at its own precision and a vision projector for image input. For people running a…
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…
nex-agi · Kit
Handles computer use, coding and long tool-driven tasks as a multimodal agentic model built on GLM-5.3-Flash, in FP8 weights of about 321B parameters. For team…
zai-org · Kit
zai-org's natively multimodal GLM-5 series model with 320B total and 18B active parameters, with a hybrid sparse and linear attention design and a thinking bud…
deepseek-ai · Kit
DeepSeek's multimodal mixture of experts model with a 552B backbone and a one million token context, built to cut KV cache cost for long input agent work. Suit…
ISTA-DASLab · Kit
ISTA-DASLab's GGUF versions of Qwen3.8-27B in four sizes, each tensor quantized at its own precision, with a vision projector for images. Suits people who run…
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…
lixin4ever · Kit
A chat app for understanding media such as video, built on the VideoLLaMA2 models. Runs in the browser as a Gradio app on ZeroGPU, for people who want to ask q…
deepseek-ai · Kit
Chats with DeepSeek's Janus-Pro-7B model, which can understand images and also generate them, with a 2x upscaling step on the pictures it makes. It suits peopl…
alinawazmahar · Kit
Finds moments in surveillance video by typing a plain-language description, then returns the best-matching frames with their timestamps. For people who would r…
opencompass · Kit
Shows leaderboards of vision-language model scores gathered with the VLMEvalKit toolkit, with an overall ranking and separate tables for each benchmark. It sui…