Gemma-4-E2B-uncensored-pruned-TextOnly-EnglishOnly-GGUF

After thorough usage and testing, I chose this UNCENSORED Gemma 4 E2B Model to be pruned (converted to English and Text-to-Text only) so I can use it on my potato laptop/phone.

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The Source Model

** Gemma-4-E2B-it-uncensored **

• Profile: The most uncensored G4-E2B model.
• Stats: 3/686 manually checked refusals (according to the author).

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This pruned model is an unhinged one, it will do anything you ask.

Modifications

What's Changed:

• Vision & Audio Modules: 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.
• Weights: Cut down from >2100 to 711 (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.

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Base Model Usage Settings

You might want to change these according to your preferences, but here is the baseline:

• Temperature: 1.0
• Top P: 0.95
• Top K: 64
• Jinja --jinja (don't ignore this one, especially on llama.cpp!)

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Colab Notebook I made and used to prune this model:

Gemma-4 Pruner

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Thanks:

• TrevorJS
• Claude.ai (for coding the notebook)
• Kaggle.com (for the free resources)