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AI projects from Hugging Face

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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…

New

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…

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gemma-4-12B-it

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…

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gemma-4-E4B-it-GGUF

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.

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gemma-4-12b-it-GGUF

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.

New

gemma-4-E2B

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…

New

gemma-4-31B

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…

New

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…

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gemma-4-31B-it-GGUF

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…

New

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…

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gemma-4-E4B-it

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…

New

gemma-4-E2B-it

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…

New

gemma-4-E4B

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.

New

gemma-4-12B

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…

New

gemma-4-26B-A4B-it

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…

New

gemma-4-31B-it

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…

New

embeddinggemma-2

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…

New

E MiYu

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…

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MSEB Leaderboard

google · Kit

A leaderboard page for the Massive Sound Embedding Benchmark, published by Google, built with Gradio. For researchers who compare sound embedding models.

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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.

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