README.md

metadata

tags:
  - merge
  - mergekit
  - gemma3
  - gemma3-4B
  - tactical-analysis
  - problem-solving
  - devops
  - tactical
  - conversational
  - code
  - uncensored
  - decensored
language:
  - en
base_model:
  - coder3101/gemma-3-4b-it-heretic
  - vanta-research/scout-4b
  - GetSoloTech/Gemma3-Code-Reasoning-4B
library_name: transformers
pipeline_tag: text-generation

Made using mergekit-gui.

• vanta-research/scout-4b has an absolutely amazing personality and is good at cooperative problem solving (something I find most models are not good at).
• GetSoloTech/Gemma3-Code-Reasoning-4B is a strong coder.
• coder3101/gemma-3-4b-it-heretic as a base (I am a professional who understands that this model is a tool and that I am responsable for how I use it). I also feel like people don't talk enough about how abliteration reduces hallucinations when asking the bot difficult questions.

The end result is hopefully useful for programming and {cyber,information}-security.

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Quantizations courtesy of team mradermacher

• GGUF: GGUF
• iMatrix: iMatrix-GGUF

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name: Gemma3-4B-CodeCenturion
base_model: coder3101/gemma-3-4b-it-heretic
dtype: bfloat16
merge_method: model_stock
models:
  - model: vanta-research/scout-4b
  - model: GetSoloTech/Gemma3-Code-Reasoning-4B
tokenizer_source: coder3101/gemma-3-4b-it-heretic