We have seen what could happen when you rely on a cloud-based model that can be turned off for any reason. Many of these models can’t run on consumer hardware. Gemma 4 12B Coder is a GGUF model that gives you the Gemma 4 model in a 12B size. Thanks to this model, you can get AI assistance with coding without relying on the cloud.
Gemma 4 12B Coder is here and it’s a game changer for local code generation. This GGUF model packs Google’s latest gemma-4 architecture into a compact 12B size, perfect for running on consumer hardware. It’s optimized for reasoning and thinking, making it ideal for developers who… pic.twitter.com/BlRpd0Lypv
— Hugging Models (@HuggingModels) June 14, 2026
This model can be used for code completion and debugging. It is fine tuned for coding and reasoning tasks. It works on GPUs with over 12GB VRAM. For training, a couple of clever things were done. For example, for fine tuning, Fable 5 was used:
- 🥈 A clever twist: we took the problems where Composer 2.5 got it wrong and handed them to Fable 5 to redo — re-deriving a fresh, self-consistent chain-of-thought and a correct solution, again gated on passing the tests. This recovers the hard cases the main teacher missed. These traces are synthetic (rationalized CoT), and are tagged separately so the two sources stay distinguishable.
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