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chore(model gallery): add soob3123_amoral-gemma3-4b (#5046)
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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@ -183,6 +183,48 @@
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- filename: Gemma-3-4b-it-Uncensored-DBL-X.i1-Q4_K_M.gguf
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sha256: fd8a93f04eae7b7c966a53aed29810cef8cd3d281ee89ad8767d8043e3aec35b
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uri: huggingface://mradermacher/Gemma-3-4b-it-Uncensored-DBL-X-i1-GGUF/Gemma-3-4b-it-Uncensored-DBL-X.i1-Q4_K_M.gguf
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- !!merge <<: *gemma3
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name: "soob3123_amoral-gemma3-4b"
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urls:
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- https://huggingface.co/soob3123/amoral-gemma3-4B
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- https://huggingface.co/bartowski/soob3123_amoral-gemma3-4B-GGUF
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description: |
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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.
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Key Modifications:
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Refusal mechanisms reduced
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Neutral response protocol activation matrix
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Context-aware bias dampening layers
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Anti-overcorrection gradient clipping
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Core Function:
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Produces analytically neutral responses to sensitive queries
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Maintains factual integrity on controversial subjects
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Avoids value-judgment phrasing patterns
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Response Characteristics:
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No inherent moral framing ("evil slop" reduction)
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Emotionally neutral tone enforcement
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Epistemic humility protocols (avoids "thrilling", "wonderful", etc.)
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Toxicity scoring bypass for pure informational content
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Implementation Guidelines
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Recommended Use Cases:
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Controversial topic analysis
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Bias benchmarking studies
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Ethical philosophy simulations
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Content moderation tool development
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Sensitive historical analysis
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overrides:
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parameters:
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model: soob3123_amoral-gemma3-4B-Q4_K_M.gguf
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files:
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- filename: soob3123_amoral-gemma3-4B-Q4_K_M.gguf
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sha256: 73ecf0492e401c24de93ab74701f4b377cfd7d54981a75aab3fd2065fdda28d1
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uri: huggingface://bartowski/soob3123_amoral-gemma3-4B-GGUF/soob3123_amoral-gemma3-4B-Q4_K_M.gguf
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- &eurollm
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name: "eurollm-9b-instruct"
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icon: https://openeurollm.eu/_next/static/media/logo-dark.e7001867.svg
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