💻 Gemma4 12B Coder (GGUF) — Composer 2.5 × Fable 5 ✨ 🐣 Tiny footprint, big brain — a local coding model for everyone No matter your GPU. No matter your RAM. If you've got ~4.5 GB of VRAM or unified memory free, you can run your own private, offline coding assistant right now. 🚀 This is the v1 / code edition — distilled from real chain of thought so it thinks through a problem before writing the solution. 🧠💻 All local, all yours, no API, no cloud. 🎯 What it is A focused fine tune of Gemma 4 12B on verifiable Python coding data — every training example's reasoning leads to code that actually passed its tests . The result reasons in the open (edge cases, complexity, approach) and then emits a clean, runnable solution. 💚 📚 Training data (the interesting part 🍳) This is a distillation of two complementary chain of thought sources, both over verifiable Python coding tasks (algorithmic / function level problems that come with deterministic tests): 🥇 Main set — Composer 2.5 real CoT. Genuine, model authored reasoning traces. The teacher solved each problem, its code was run against the task's tests, and only the passing solutions were kept . So the reasoning you're learning from…
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