Gemma 4 12B MTP Local Test | Coding, OCR, Visual RAG with llama.cpp

Venelin Valkov · Beginner ·🧠 Large Language Models ·3w ago

Key Takeaways

Testing Gemma 4 12B MTP with llama.cpp for coding, OCR, and visual RAG

Original Description

Gemma 4 12B is the latest open model by Google DeepMind that aims to bring performance similar to the 26B model requiring ~16GB VRAM. We'll test the MTP setup and look into how much faster inference can we get. Is this truly a competitor to the 26B MoE model and Qwen3.6? Blog post: https://blog.google/innovation-and-ai/technology/developers-tools/introducing-gemma-4-12b/ Model: https://huggingface.co/unsloth/gemma-4-12b-it-GGUF AI Academy: https://mlexpert.io/ Work with me: https://mlexpert.io/consulting LinkedIn: https://www.linkedin.com/in/venelin-valkov/ Follow me on X: https://twitter.com/venelin_valkov Discord: https://discord.gg/UaNPxVD6tv Subscribe: http://bit.ly/venelin-subscribe GitHub repository: https://github.com/curiousily/AI-Bootcamp 👍 Don't Forget to Like, Comment, and Subscribe for More Tutorials! Join this channel to get access to the perks and support my work: https://www.youtube.com/channel/UCoW_WzQNJVAjxo4osNAxd_g/join
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