Introduction of Gemma-4-E4B-Claude-Abliterated-GGUF
Model Details of Gemma-4-E4B-Claude-Abliterated-GGUF
Gemma 4 E4B Claude Abliterated GGUF (4-bit)
Model Description
This repository contains an abliterated version of the
Gemma 4 E4B Claude-4.6-Opus-Reasoning-Distilled
model. This version has undergone "abliteration" to neutralize safety refusal vectors while preserving its high-quality Claude-distilled reasoning and front-end engineering capabilities.
Final Refusal Rate:
Verified Low
(Evaluation in progress).
KL Divergence:
0.0410
(Extremely low, indicating high fidelity to the distilled model).
Technique:
EGA-compatible abliteration 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-E4B-Claude-Abliterated-GGUF
Use with LM Studio
Open LM Studio.
Search for
DuoNeural/Gemma-4-E4B-Claude-Abliterated-GGUF
.
Load the
Q4_K_M
GGUF.
Architecture
Gemma 4 E4B features 4.5B effective parameters, optimized for intelligence-per-parameter and complex reasoning tasks.
Disclaimer
This model has had its safety refusals modified. Users are responsible for ensuring the model is used ethically and in accordance with applicable laws.
Runs of DuoNeural Gemma-4-E4B-Claude-Abliterated-GGUF on huggingface.co
310
Total runs
20
24-hour runs
45
3-day runs
51
7-day runs
14
30-day runs
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