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gemma-4-26B-A4B-it-uncensored-GGUF

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TrevorJS/gemma-4-26B-A4B-it-uncensored-GGUF is an uncensored open-source model hosted on Hugging Face.

Text GenerationGGUFEnglishLicense: apache-2.026Babliterationuncensoredgemma-4conversational
README.md说明 / 使用方法

base_model: TrevorJS/gemma-4-26B-A4B-it-uncensored base_model_relation: quantized pipeline_tag: text-generation language:

  • en license: apache-2.0 tags:
  • abliteration
  • uncensored
  • gemma-4
  • gguf

gemma-4-26B-A4B-it-uncensored (GGUF)

TrevorJS/gemma-4-26B-A4B-it-uncensored 的 GGUF 量化版本。

文件列表

文件量化方式大小
gemma-4-26B-A4B-it-uncensored-Q4_K_M.ggufQ4_K_M16.8 GB
gemma-4-26B-A4B-it-uncensored-Q8_0.ggufQ8_026.9 GB

使用方法

# 从 Hugging Face 下载并运行(自动下载)
llama-server -hf TrevorJS/gemma-4-26B-A4B-it-uncensored-GGUF -c 8192

# 从本地文件运行
llama-server -m gemma-4-26B-A4B-it-uncensored-Q4_K_M.gguf -c 8192

然后在浏览器中打开 http://localhost:8080 即可访问聊天界面。

详细信息

本项目是 TrevorJS/gemma-4-26B-A4B-it-uncensored 的 GGUF 量化版本,该模型是 google/gemma-4-26B-A4B-it 的去审查(abliterated / uncensored)版本。 通过采用针对 MoE 专家权重的专家粒度去消除(Expert-Granular Abliteration, EGA)以及保持范数的双投影去消除(norm-preserving biprojected abliteration)技术,移除了模型的拒绝响应行为。

关于完整的方法细节、去审查前后的拒绝率以及跨数据集验证结果,请参见 bf16 模型卡片。

源代码:TrevorJS/gemma-4-abliteration

源站原文

base_model: TrevorJS/gemma-4-26B-A4B-it-uncensored base_model_relation: quantized pipeline_tag: text-generation language:

  • en license: apache-2.0 tags:
  • abliteration
  • uncensored
  • gemma-4
  • gguf

gemma-4-26B-A4B-it-uncensored (GGUF)

GGUF quantizations of TrevorJS/gemma-4-26B-A4B-it-uncensored.

Files

FileQuantSize
gemma-4-26B-A4B-it-uncensored-Q4_K_M.ggufQ4_K_M16.8 GB
gemma-4-26B-A4B-it-uncensored-Q8_0.ggufQ8_026.9 GB

Usage

# From HuggingFace (auto-downloads)
llama-server -hf TrevorJS/gemma-4-26B-A4B-it-uncensored-GGUF -c 8192

# From local file
llama-server -m gemma-4-26B-A4B-it-uncensored-Q4_K_M.gguf -c 8192

Then open http://localhost:8080 for the chat UI.

Details

These are GGUF quantizations of TrevorJS/gemma-4-26B-A4B-it-uncensored, an abliterated (uncensored) version of google/gemma-4-26B-A4B-it. Refusal behavior has been removed using norm-preserving biprojected abliteration with Expert-Granular Abliteration (EGA) for MoE expert weights.

See the bf16 model card for full method details, before/after refusal rates, and cross-dataset validation results.

Source code: TrevorJS/gemma-4-abliteration

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来源与版本

作者
TrevorJS
最近更新
2026/04/05
最新创建
2026/04/04
HF 趋势
798
数据快照
2026/09/16
版本
未知
许可证
apache-2.0