gemma-4-26B-A4B
google · Kit
Reads text and images and writes text, for developers who want an open-weights Google DeepMind model for coding, reasoning and image questions on their own GPU…
google · Kit
Reads text and images and writes text, for developers who want an open-weights Google DeepMind model for coding, reasoning and image questions on their own GPU…
google · Kit
Runs Google's Gemma 4 12B instruction-tuned model in a 4-bit GGUF file made with quantization-aware training. Reads text and images, and suits laptops and cons…
google · Kit
Takes text, images and audio and writes text answers, in one 12B instruction-tuned model from Google DeepMind with a 256K-token context and configurable thinki…
unsloth · Kit
A 4-bit GGUF copy of Google's Gemma 4 E4B instruction model, packaged by Unsloth for running on your own machine. It reads text and images and answers in text.
unsloth · Kit
Unsloth's GGUF quantized copy of Google's instruction-tuned Gemma 4 12B, a model that takes text, images, audio and video and writes text, for running locally.
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…
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…
google · Kit
A leaderboard page for the Massive Sound Embedding Benchmark, published by Google, built with Gradio. For researchers who compare sound embedding models.
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.