---
base_model: unsloth/gemma-4-12b-it
license: gemma
language: [en]
library_name: gguf
tags: [gguf, llama.cpp, lm-studio, gemma, gemma-4, qlora, unsloth, methodology, coding-assistant, agent]
pipeline_tag: text-generation
quantized_by: CodeMonkey1
---

# 🦾 Gemma-4-12B — Superpowers Edition

### *A local coding companion that thinks before it types.*

Most models hear "build me a tool" and immediately vomit code. **Not this one.** Gemma-4-12B-Superpowers has six engineering disciplines fine-tuned **into its weights** — so it reaches for the right method on its own, **with no system prompt, no jailbreak, no babysitting.**

---

## ⚡ What she does differently — automatically

| You say… | She does… |
|---|---|
| "Build me an X" | 🧠 **Brainstorms** — asks the right questions, weighs 2–3 approaches *before* a line of code |
| "It's broken / wrong output" | 🔬 **Root-causes** — reproduces & isolates before patching (no guess-fixing) |
| "Implement this feature" | ✅ **Test-first** — failing test → watch it fail → minimal code |
| "Here's a multi-step task" | 🗺️ **Plans** — an ordered roadmap before touching files |
| "Is it done? Ship it." | 🔎 **Verifies** — runs the check, shows the evidence (no "should work") |
| "Write a runbook for X" | 📓 **Documents** — clean SOPs with triggers + red flags |

…and she **won't** over-think a one-liner — ask "what's 2+2" and you get **`4`**, not a discovery meeting.

## 🛠️ Built for real work — WordPress, head to toe

~40% of her training lives in the trenches you actually work in: **PHP** (ACF, hooks, `WP_Query`, WP-CLI), **JavaScript** (Gutenberg blocks, enqueued scripts, jQuery/vanilla), and **CSS** (responsive, CLS-safe fonts, WCAG 2.2). She debugs *your* stack, not toy code.

## 🚀 Quick start (LM Studio)

1. Download **`gemma-4-12b-it.Q4_K_M.gguf`** → load in LM Studio.
2. **Leave the system prompt EMPTY.** The discipline is baked in — that's the whole point.
3. Talk to her like a sharp junior dev. Watch her ask the right questions.

*Want her eyes too?* Also grab **`…BF16-mmproj.gguf`** — Gemma 4's vision projector. Drop it in the same folder as the text GGUF and LM Studio pairs it automatically; image input works (confirmed describing real photos). Vision weights are stock Gemma 4 — untouched by the text fine-tune.

## 🔧 Under the hood

QLoRA on **`unsloth/gemma-4-12b-it`** via [Unsloth](https://github.com/unslothai/unsloth) — r=16, ~1,134 examples (389 discipline + 145 "answer-it-straight" + ~600 general to keep her smart), 2 epochs, **no system message in training** (so the behavior is unconditioned). Methodology adapted from the open-source [superpowers](https://github.com/obra/superpowers) skills (MIT).

## 🔁 v1.1 — serving fixes (2026-06-15)

- **Chat template corrected** to the canonical Gemma-4-12B-it template. The earlier build shipped a stale template that made LM Studio's engine-protocol runtime throw `Failed to parse input` (HTTP 400) mid-generation. Fixed — code-gen eval now runs clean (6/6, no 400s) on q4 and q6.
- **Vision restored.** The earlier `mmproj` was mis-converted and crashed on load; replaced with the stock (weight-compatible) Gemma-4-12B projector. Image input confirmed working.

## ⚠️ Status

**v1 — experimental.** Code-precision A/B eval (q4 vs q6) shows both quants produce correct, idiomatic code across the probe set; the disciplines fire with no system prompt. It's a 12B running locally, so it follows the disciplines well but not frontier-perfectly. Inherits the [Gemma Terms of Use](https://ai.google.dev/gemma/terms).

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*Fine-tuned with stubbornness and ~$0.21 of GPU time. 🧪*