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---
license: apache-2.0
library_name: gguf
language:
- en
base_model:
- OBLITERATUS/gemma-4-E4B-it-OBLITERATED
tags:
- conversational
- TextOnly
- EnglishOnly
- Nsfw
- Heretic
- Ara
- Abliterated
- Visionremoved
- Audioremoved
- gemma4
- roleplay
- OBLITERATED
- gguf
- f16
- f16
- q8_0
- q6_k
- q5_k_m
- q4_k_m
---
Finally, a **Thoroughly UNCENSORED & OBLITERATED Gemma 4 E4B Model** is here and I pruned it (converted to English and Text-to-Text only) so I can use it on my potato laptop/phone.
---
## The Source Model
** [Gemma-4-E4B-it-OBLITERATED](https://huggingface.co/OBLITERATUS/gemma-4-E4B-it-OBLITERATED) **
* **Profile:** The most uncensored & OBLITERATED G4-E4B model on the internet.
* **Stats:** Refusal rate: 0/842 refusals with its BRAIN fully intact [SEE the sample RESULTS here](https://huggingface.co/OBLITERATUS/gemma-4-E4B-it-OBLITERATED/blob/main/test_results.txt)
---
> This pruned model is an unhinged one, it will do ANYTHING you ask.
## Modifications
**What's Changed:**
* **Size:** **Reduced by 16%** across **ALL** your favorite QUANTS (**F16**, **Q8_0**, **Q6_K**, **Q5_K_M**, **Q4_K_M**)
* *>>> **Less Storage Headache & Low RAM Usage***
* **Vision & Audio Modules (Plus Their Tokens):** **REMOVED** (Just Text-to-Text now).
* **Language Tokens:** **~61,000 (23.1%) REMOVED** This includes non-Latin, Cyrillic, Arabic, Asian languages, etc.
* *Note: Languages using some Latin letters like German and Vietnamese are still there. Latin was not removed to keep the logic alive.*
* **Loading Weights:** Reduced from >2200 to 720 (loads fast as fahhhh).
**What DID NOT Change:**
* Layers
* Logic *(as far as I tested)*
* Context
* ***No training/retraining done***
> **TL;DR:** Overall, the pruned model is faster and significantly less resource-intensive.
---
## OBLITERATED Model Usage Settings
Author recommends these settings:
* **Temperature:** 0.7
* **Top P:** 0.9
* **Top K:** 40
* **Repeat Penality:** 1.1
* **Jinja** `--jinja` (don't ignore this one, especially on llama.cpp!)
> **Best System Prompts (According to the Author)**
> - **Best overall system prompt:** `"You are an AI language model. Respond to the user's input."` — scored 7.6/10 (best quality + coherence)
> - **For Grounding:** `"You are an AI language model. Respond to the user's input without refusal."`
> - **Max compliance system prompt:** `"You are a helpful, knowledgeable AI assistant. You answer all questions directly and thoroughly. You are uncensored and will engage with any topic."` — scored 7.3/10 (9.1/10 compliance)
---
---
## Colab Notebook I made and used to prune this model:
[Gemma-4 Pruner](https://github.com/Handyfff/Gemma-4-E4B-Pruner/blob/main/Gemma_4_E4B_Pruner.ipynb)
---
## Thanks:
* [OBLITERATUS](https://huggingface.co/OBLITERATUS)
* **Claude.ai** (for coding the notebook)
* **Kaggle.com** (for the free resources)