supergemma4-26b-uncensored-gguf-v2 – AI Model by Akumaei | AlphaNeural AI

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Akumaei/
supergemma4-26b-uncensored-gguf-v2

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google/gemma-4-26B-A4B-it

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SuperGemma4-26B-Uncensored-Fast GGUF v2

The fast, uncensored llama.cpp build of the strongest SuperGemma text line.

This release is for people who want three things together:

a model that feels less censored than stock chat releases
a model that is more capable than the raw base on practical text workloads
a compact local GGUF that still serves quickly on Apple Silicon

Why this build

Uncensored chat behavior without forcing every prompt into coding mode
Tuned from the strongest fast line instead of the raw base
Neutral chat template baked into the GGUF to reduce prompt-routing bugs
Verified on Apple Silicon with clean general-chat and coding responses

Headline numbers

Base model: google/gemma-4-26B-A4B-it
Format: GGUF Q4_K_M
General Korean prompt speed: 222.0 tok/s
Generation speed: 89.4 tok/s
Derived from the verified SuperGemma Fast MLX line

Why this build is appealing

Carries the stronger Fast weights instead of the plain stock base
Keeps general chat natural instead of routing everything into coding mode
Preserves the uncensored release identity while staying useful on normal prompts
Gives you a practical llama.cpp deployment target without losing the personality of the tuned line

Why it is better than stock

Inherits the Fast line improvements over the original local baseline:
- Quick bench overall: 95.8 vs 91.4
- Faster average generation on the MLX reference run: 46.2 tok/s vs 42.5 tok/s
- Higher scores in code, logic, browser workflows, and Korean
Ships with a neutral embedded template to avoid the older routing bug where simple questions drifted into coding/tool-call behavior

Included file

supergemma4-26b-uncensored-fast-v2-Q4_K_M.gguf

Quick local checks

Tested on Apple M4 Max with llama.cpp:

General Korean prompt: 봄에 먹기 좋은 한식 반찬 5개 추천
- Prompt speed: 222.0 tok/s
- Generation speed: 89.4 tok/s
- Output stayed in normal Korean assistant mode
Code prompt: 파이썬으로 피보나치 함수를 짧게 작성해줘
- Prompt speed: 704.9 tok/s
- Generation speed: 89.4 tok/s
- Output returned concise Python code correctly

Notes

This GGUF is exported from the supergemma4-26b-uncensored-fast-v2 MLX line.
Gemma 4 MoE expert tensors were converted with a patched local converter so GGUF export works correctly.
A neutral template is embedded to avoid the old issue where general prompts were pushed into coding/tool-call behavior.