Gemma 4 12B MTP Local Test | Coding, OCR, Visual RAG with llama.cpp
Skills:
LLM Foundations70%
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
Watch on YouTube ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: LLM Foundations
View skill →Related Reads
📰
📰
📰
📰
We Built AI Using Wikipedia, But Wikipedia Is 40% Wrong
Medium · Machine Learning
LLM vs RAG Explained (EP2): How AI Actually Finds the Right Answers
Medium · Data Science
LLM vs RAG Explained (EP2): How AI Actually Finds the Right Answers
Medium · LLM
LLM vs RAG Explained (EP2): How AI Actually Finds the Right Answers
Medium · RAG
🎓
Tutor Explanation
DeepCamp AI