MODEL PROFILE

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

yuxinlu1 · 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. 🚀 > 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. 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. 💚 **🚀🔥 IT'S HERE — v2 is OUT NOW!** v2 has shipped — the **GGUF quants are live and ready to run** → **grab v2 here**. 🎉 The **full `safetensors` master** (build / fine-tune on top) goes up **tomorrow**. v2 is **agentic + coding** focused — the piece v1 was missing.

Text generationcodereasoninglicense:apache-2.0
Context windowNot disclosed
Input → OutputText → Text
Model weightsNot verified
Profile updated2026/10/29 20:23:03
OVERVIEW

Model overview

> **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. 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. 💚 **🚀🔥 IT'S HERE — v2 is OUT NOW!** v2 has shipped — the **GGUF quants are live and ready to run** → **grab v2 here**. 🎉 The **full `safetensors` master** (build / fine-tune on top) goes up **tomorrow**. v2 is **agentic + coding** focused — the piece v1 was missing.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

Source prices & cost analysis

Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.

Source / channelInputOutputBilling unitCollected at
No verified prices yet. Check the source channel.

Estimate monthly base token costs

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Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.

INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Frequently asked questions

Do open weights permit free commercial use?

Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.

Are these real-time billing prices?

These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.

Sources & traceability

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。