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

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.