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gemma-4-12B-it-Artemis-GGUF

image text to text model by turintech on Hugging Face (gguf). 866 downloads in the last 30 days as of 2026-10-15.

gemma-4-12B-it-Artemis-GGUF logo
AI APIs & LLMsFreeAI modelLink verified 2026-11-01

What is gemma-4-12B-it-Artemis-GGUF?

gemma-4-12B-it-Artemis-GGUF is an open AI model published on Hugging Face by turintech for vision-language (image + text to text). Its name indicates it belongs to the Gemma model family with about 12B parameters, packaged as quantised GGUF weights for llama.cpp-compatible runtimes (Ollama, LM Studio, llama.cpp). Hugging Face reported 866 downloads in the 30 days to 2026-10-15. Weights are free to download from Hugging Face; licence terms are set by the publisher on the model card.

gemma-4-12B-it-Artemis-GGUF key facts
Publisherturintech
Taskvision-language (image + text to text)
Model family (from name)Gemma
Parameters (from name)12B
FormatGGUF
Librarygguf
Downloads (30 days)866 (as of 2026-10-15)
PriceFree to download (open weights)

gemma-4-12B-it-Artemis-GGUF pricing

Listed as Free. Detailed prices haven't been checked from the official site yet; see gemma-4-12B-it-Artemis-GGUF.

How to run gemma-4-12B-it-Artemis-GGUF

  1. Open the model page on Hugging Face and pick a quantisation file that fits your RAM/VRAM (smaller Q-numbers use less memory).
  2. Run it locally with llama.cpp, LM Studio or Ollama (e.g. `ollama run hf.co/turintech/gemma-4-12B-it-Artemis-GGUF`).
  3. Read the model card for the prompt template, context length and licence.

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gemma-4-12B-it-Artemis-GGUF FAQ

What is gemma-4-12B-it-Artemis-GGUF?

gemma-4-12B-it-Artemis-GGUF is an open AI model published on Hugging Face by turintech for vision-language (image + text to text). Its name indicates it belongs to the Gemma model family with about 12B parameters, packaged as quantised GGUF weights for llama.

Is gemma-4-12B-it-Artemis-GGUF free?

gemma-4-12B-it-Artemis-GGUF is listed as free.

How do I use gemma-4-12B-it-Artemis-GGUF?

1. Open the model page on Hugging Face and pick a quantisation file that fits your RAM/VRAM (smaller Q-numbers use less memory). 2. Run it locally with llama.cpp, LM Studio or Ollama (e.g. `ollama run hf.co/turintech/gemma-4-12B-it-Artemis-GGUF`). 3. Read the model card for the prompt template, context length and licence.

What models are similar to gemma-4-12B-it-Artemis-GGUF?

Related models include gemma-4-26B-A4B-it, gemma-4-31B-it, gemma-4-E4B-it, embeddinggemma-300m, gemma-4-E2B-it.

This page is generated from public listing data (source listing, tags, counts and our own link check); check the official page for features, licence and current pricing. Want to master tools like this? See the 100+ AI Tools Course.