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gemma-4-12B-coder-fable5-composer2.5-v1-GGUF

> **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. ๐Ÿš€ > This is the **v1 / code edition** โ€” distilled from **real chain-of-thought** so it *thinks through* a problem > before writing the solution. ๐Ÿง ๐Ÿ’ป All local, all yours, no API, no cloud. A focused fine-tune of Gemma 4 12B on **verifiable Python coding** data โ€” 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. ๐Ÿ’š **๐Ÿš€๐Ÿ”ฅ IT'S HERE โ€” v2 is OUT NOW!** v2 has shipped โ€” the **GGUF quants are live and ready to run** โ†’ **grab v2 here**. ๐ŸŽ‰ The **full `safetensors` master** (build / fine-tune on top) goes up **tomorrow**. v2 is **agentic + coding** focused โ€” the piece v1 was missing.

๋ฒˆ์—ญ ์ค€๋น„ ์ค‘์ž…๋‹ˆ๋‹ค. ์›๋ฌธ์„ ํ‘œ์‹œํ•ฉ๋‹ˆ๋‹ค.

> **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. ๐Ÿš€ > This is the **v1 / code edition** โ€” distilled from **real chain-of-thought** so it *thinks through* a problem > before writing the solution. ๐Ÿง ๐Ÿ’ป All local, all yours, no API, no cloud. A focused fine-tune of Gemma 4 12B on **verifiable Python coding** data โ€” 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. ๐Ÿ’š **๐Ÿš€๐Ÿ”ฅ IT'S HERE โ€” v2 is OUT NOW!** v2 has shipped โ€” the **GGUF quants are live and ready to run** โ†’ **grab v2 here**. ๐ŸŽ‰ The **full `safetensors` master** (build / fine-tune on top) goes up **tomorrow**. v2 is **agentic + coding** focused โ€” the piece v1 was missing.

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