Qwen3-Embedding-0.6B
Qwen · Kit
Turns text into number vectors for search, retrieval, classification and clustering, in over 100 languages including code. The smallest, 0.6B-parameter text em…
Qwen · Kit
Turns text into number vectors for search, retrieval, classification and clustering, in over 100 languages including code. The smallest, 0.6B-parameter text em…
inclusionAI · Kit
Turns text into speech in seven languages, including Chinese and English. It can copy a voice from a short clip, design one from a description, and control emo…
XHToken · Kit
A compact 4B language model in GGUF form for on-device use, tuned for coding, agents and long context, with three thinking levels from none to high. Works in E…
Teriminal-RSI · Kit
Works through multi-step terminal tasks such as inspecting a repository, editing code and repairing dependencies. A 27.8B-parameter agent model built on Qwen3.…
tencent · Kit
Finds, counts, points to, reads and segments objects in images, and makes alpha mattes, with one 4B vision-language model from Tencent. For researchers working…
ornith-ai · Kit
Runs a 35B mixture-of-experts text model tuned for coding and agent work, using only about 3B parameters per token. This repository holds its GGUF files for lo…
google · Kit
Google's Gemma 4 12B Unified model, an open model that reads text, images, audio and video and writes text, with a 256K context and no separate encoders. For d…
unsloth · Kit
Runs Qwen3.6-35B-A3B, a mixture-of-experts model that reads images and text and uses about 3B parameters per token, from Unsloth GGUF files. For developers who…
thinkingmachines · Kit
Reads text, images and audio and replies in text, for developers building assistants, coding tools and agents. A sparse mixture-of-experts model with 276B para…
Qwen · Kit
Handles text, images and video with FP8-quantized weights of Qwen3.8-27B, a 27B dense model with adjustable thinking. For developers serving it with transforme…
openai · Kit
Writes, reasons and calls tools from text prompts, in an open-weight 21B model from OpenAI that runs within 16 GB of memory. For developers who want a local or…
gradium · Kit
A small English text-to-speech model that streams natural 24 kHz audio and runs on a laptop CPU, a phone or in a browser tab. For developers who want speech on…
google · Kit
Instruction-tuned Gemma 4 model from Google that reads text and images and writes text, with configurable thinking, function calling and a context window of up…
divagr1925 · Kit
An experimental Qwen3.5-4B with a 32-bit RISC-V CPU compiled into its weights, so it does exact arithmetic inside the model. For researchers and curious develo…
tencent · Kit
Generates text, code and documents with a Mixture-of-Experts model of 770B parameters that activates 49B and handles up to 1M context. For teams with the hardw…
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…
inclusionAI · Kit
Makes typed decisions from a text state and named questions, returning probabilities for choices, yes or no answers and ordinal scores, with no generated text.…
Qwen · Kit
Handles text and image input with a 4B hybrid model that supports 201 languages and dialects and a 262,144-token context. For developers running small open wei…
meta-models · Kit
Reads text and images and carries out agent tasks such as tool calls and multi-step reasoning on a local machine, in a 30B model distilled from Muse Spark. For…
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,…