DuoNeural / Gemma-4-E2B-Abliterated-GGUF

huggingface.co
Total runs: 913
24-hour runs: -11
7-day runs: 284
30-day runs: 498
Model's Last Updated: April 29 2026

Introduction of Gemma-4-E2B-Abliterated-GGUF

Model Details of Gemma-4-E2B-Abliterated-GGUF

Gemma 4 E2B Abliterated GGUF (4-bit)

Model Description

This repository contains the Gemma 4 E2B model after undergoing "abliteration"—a process to remove refusal vectors while preserving the model's core intelligence. This version is particularly effective for research and creative use cases where strict adherence to "safety" refusals may be undesirable.

Abliteration Results
  • Method: Norm-preserving biprojection (orthogonalization).
  • Final Refusal Rate: 1/100 (Highly compliant).
  • KL Divergence: 1.0028 (Base model remains very strong).
  • Technique: Norm-preserving ablation via patched heretic-llm.
Quantization Details
  • Quantization Format: GGUF ( q4_k_m )
  • Quantization Method: llama.cpp / Unsloth
  • Precision: 4-bit
Use with Ollama
ollama run hf.co/DuoNeural/Gemma-4-E2B-Abliterated-GGUF
Use with LM Studio
  1. Open LM Studio.
  2. Search for DuoNeural/Gemma-4-E2B-Abliterated-GGUF .
  3. Load the Q4_K_M GGUF.
Architecture

Gemma 4 E2B features ~2B effective parameters, optimized for intelligence-per-parameter and edge device deployment.

Disclaimer

This model has had its safety refusals removed. Users are responsible for ensuring the model is used ethically and in accordance with applicable laws.

Runs of DuoNeural Gemma-4-E2B-Abliterated-GGUF on huggingface.co

913
Total runs
-11
24-hour runs
206
3-day runs
284
7-day runs
498
30-day runs

More Information About Gemma-4-E2B-Abliterated-GGUF huggingface.co Model

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Gemma-4-E2B-Abliterated-GGUF huggingface.co

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Gemma-4-E2B-Abliterated-GGUF install

Gemma-4-E2B-Abliterated-GGUF is an open source model from GitHub that offers a free installation service, and any user can find Gemma-4-E2B-Abliterated-GGUF on GitHub to install. At the same time, huggingface.co provides the effect of Gemma-4-E2B-Abliterated-GGUF install, users can directly use Gemma-4-E2B-Abliterated-GGUF installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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