Update README.md

README.md

@@ -1,3 +1,56 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+base_model:
+- soob3123/amoral-gemma3-12B-v2
+base_model_relation: quantized
+pipeline_tag: image-text-to-text
+tags:
+- chat
+- mlx
+- gemma3
+- analytical-tasks
+- bias-neutralization
+- uncensored
+- apple
+- 8bit
+language:
+- en
+- fr
+- es
+- de
+- it
+- hi
+- ru
+library_name: mlx
+---
+# Amoral Gemma-3-12B v2 8-bit MLX
+
+Specialized uncensored variant of Google's **Gemma 3 12B** 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
+
+**Recommended Use Cases:**
+- Controversial topic analysis
+- Bias benchmarking studies
+- Ethical philosophy simulations
+- Content moderation tool development
+- Sensitive historical analysis
+
+This model was converted to MLX format from [`soob3123/amoral-gemma3-12B-v2`](https://huggingface.co/soob3123/amoral-gemma3-12B-v2) using mlx-vlm version **0.1.22**.
+
+Refer to the [original model card](https://huggingface.co/google/gemma-3-12b-it) and [amoral model](https://huggingface.co/soob3123/amoral-gemma3-12B-v2) for more details on the model.
+
+
+## Use with mlx
+
+```bash
+pip install -U mlx-vlm
+```
+
+```bash
+python -m mlx_vlm.generate --model TheCluster/amoral-gemma-3-12B-v2-mlx-8bit --max-tokens 512 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
+```