embeddinggemma-2-GGUF
unsloth · Kit
Turns text into 768-dimensional vectors for on-device search, retrieval and clustering. The base model also covers images, video and audio. Packaged as GGUF by…
unsloth · Kit
Turns text into 768-dimensional vectors for on-device search, retrieval and clustering. The base model also covers images, video and audio. Packaged as GGUF by…
google · Kit
Handles text, image and audio input and writes text, in a small Gemma 4 model built for laptops and phones. From Google DeepMind, with 2.3B effective parameter…
google · Kit
Reads text and images and writes text, for developers and researchers who want Google DeepMind's largest dense open-weights Gemma 4 model for coding, reasoning…
unsloth · Kit
Gemma 4 12B in GGUF form, trained with quantization-aware training so a 4-bit copy keeps near-bfloat16 quality. For people running Gemma locally with llama.cpp…
unsloth · Kit
Runs Google's Gemma 4 31B instruction-tuned model locally from Unsloth's GGUF files, with text and image input and a long context. Suits developers who want a…
litert-community · Kit
Gemma 4 E2B instruction-tuned model packaged as a .litertlm file for the LiteRT-LM framework, made for private on-device use on phones, desktops and edge devic…
yuxinlu1 · Kit
A GGUF fine-tune of Google's Gemma 4 12B instruction model for coding and tool-using agent work, sized to run offline on a machine with about 4.5 GB of free me…
google · Kit
Handles text, image and audio input and writes text, with a 128K-token context and support for over 140 languages. A small instruction-tuned Gemma 4 model from…
google · Kit
Handles text, image and audio input and writes text, with a 128K-token context and support for over 140 languages. The smallest instruction-tuned Gemma 4 model…
google · Kit
Google DeepMind's E4B model from the Gemma 4 family, an open model that takes text, images and audio and writes text, built to run on laptops and phones.
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…
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…
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…
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…
yukimama · Kit
Runs a Gradio app that names the google/gemma-4-12B-it and E_MiYu models and ships a training data file, in the browser or on your own computer. The README giv…
webml-community · Kit
A browser page that plots text embeddings in a 3D view, using the EmbeddingGemma model in ONNX form. For developers and learners who want to see how embeddings…
google · Kit
A Gradio draw challenge from google built around the EmbeddingGemma 2 model. The card gives no rules, so the page itself shows how to play.
Caspivs · Kit
Ranks documents, compares sentences across languages and searches your own images by text, all inside your browser so nothing you type or upload leaves your de…
alsersugasawa · Kit
Suggests the rest of a word, or the next one, as you type in a Hiligaynon-English dictionary search box, using a small fine-tuned Gemma model. A demo for langu…