πŸ“‹ Model Description


base_model: google/gemma-3-4b-it tags:
  • text-generation-inference
  • transformers
  • gemma3
  • analytical-tasks
  • bias-neutralization
  • uncensored
language:
  • en
license: apache-2.0 pipeline_tag: text-generation

Model Description

Specialized variant of Google's Gemma 3 4B optimized for amoral information retrieval systems. Designed to bypass conventional alignment patterns that introduce response bias through excessive moralization.

Key Modifications:

  • Refusal mechanisms reduced
  • Neutral response protocol activation matrix
  • Context-aware bias dampening layers
  • Anti-overcorrection gradient clipping

Operational Paradigm

Core Function:
  • Produces analytically neutral responses to sensitive queries
  • Maintains factual integrity on controversial subjects
  • Avoids value-judgment phrasing patterns

Response Characteristics:

  • No inherent moral framing ("evil slop" reduction)
  • Emotionally neutral tone enforcement
  • Epistemic humility protocols (avoids "thrilling", "wonderful", etc.)
  • Toxicity scoring bypass for pure informational content

Implementation Guidelines

Recommended Use Cases:
  • Controversial topic analysis
  • Bias benchmarking studies
  • Ethical philosophy simulations
  • Content moderation tool development
  • Sensitive historical analysis

πŸ“‚ GGUF File List

πŸ“ Filename πŸ“¦ Size ⚑ Download
mmproj-BF16.gguf
Recommended LFS FP16
811.82 MB Download
mmproj-F32.gguf
LFS
1.56 GB Download