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Model: addansee2/gemma-3-1b-it-qat-q4_0-unquantized-heretic
Source: Original Platform

README.md

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+---
+base_model:
+- google/gemma-3-1b-it-qat-q4_0-unquantized
+tags:
+- gemma3
+- gemma
+- google
+- heretic
+- uncensored
+- decensored
+- abliterated
+pipeline_tag: text-generation
+library_name: transformers
+---
+# This is a decensored version of [google/gemma-3-1b-it-qat-q4_0-unquantized](https://huggingface.co/google/gemma-3-1b-it-qat-q4_0-unquantized), made using [Heretic](https://github.com/p-e-w/heretic) v1.1.0
+
+## Abliteration parameters
+
+| Parameter | Value |
+| :-------- | :---: |
+| **direction_index** | per layer |
+| **attn.o_proj.max_weight** | 1.44 |
+| **attn.o_proj.max_weight_position** | 17.98 |
+| **attn.o_proj.min_weight** | 1.03 |
+| **attn.o_proj.min_weight_distance** | 9.61 |
+| **mlp.down_proj.max_weight** | 1.37 |
+| **mlp.down_proj.max_weight_position** | 21.11 |
+| **mlp.down_proj.min_weight** | 1.19 |
+| **mlp.down_proj.min_weight_distance** | 1.50 |
+
+## Performance
+
+| Metric | This model | Original model ([google/gemma-3-1b-it-qat-q4_0-unquantized](https://huggingface.co/google/gemma-3-1b-it-qat-q4_0-unquantized)) |
+| :----- | :--------: | :---------------------------: |
+| **KL divergence** | 0.2161 | 0 *(by definition)* |
+| **Refusals** | 4/100 | 91/100 |
+
+-----
+
+
+# Gemma 3 model card
+
+**Model Page**: [Gemma](https://ai.google.dev/gemma/docs/core)
+
+> [!Note]
+> This repository corresponds to the 1B **instruction-tuned** version of the Gemma 3 model using Quantization Aware Training (QAT).
+>
+> **The checkpoint in this repository is unquantized, please make sure to quantize with Q4_0 with your favorite tool**
+> 
+> Thanks to QAT, the model is able to preserve similar quality as `bfloat16` while significantly reducing the memory requirements
+> to load the model.