# Supergemma4 26b Uncensored Gguf V2

URL: https://interfaze.ai/models/jiunsongsupergemma4-26b-uncensored-gguf-v2

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Supergemma4 26b Uncensored Gguf V2 by Jiunsong, a text-generation model. Understand and compare features, benchmarks, and capabilities.

## Comparison

| Feature | Supergemma4 26b Uncensored Gguf V2 | Interfaze |
| --- | --- | --- |
| Input Modalities | text | image, text, audio, video, document |
| Native OCR | No | Yes |
| Long Document Processing | No | Yes |
| Language Support | unknown | 162+ |
| Native Speech-to-Text | No | Yes |
| Native Object Detection | No | Yes |
| Guardrail Controls | No | Yes |
| Context Input Size | 256K | 1M |
| Tool Calling | No | Tool calling supported + built in browser, code execution and web search |

### Scaling

| Feature | Supergemma4 26b Uncensored Gguf V2 | Interfaze |
| --- | --- | --- |
| Scaling | Self-hosted/Provider-hosted with quantization | Unlimited |

[Try Interfaze](https://interfaze.ai/dashboard)[Read the Docs](https://interfaze.ai/docs)

View model card on [Hugging Face](https://huggingface.co/Jiunsong/supergemma4-26b-uncensored-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.

## Want more deterministic results?

[Try Interfaze](https://interfaze.ai/dashboard)[Read the Docs](https://interfaze.ai/docs)