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README.md

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+---
+license: gemma
+library_name: transformers
+pipeline_tag: image-text-to-text
+extra_gated_heading: Access Gemma on Hugging Face
+extra_gated_prompt: To access Gemma on Hugging Face, you’re required to review and
+  agree to Google’s usage license. To do this, please ensure you’re logged in to Hugging
+  Face and click below. Requests are processed immediately.
+extra_gated_button_content: Acknowledge license
+base_model: huihui-ai/gemma-3-4b-it-abliterated
+tags:
+- abliterated
+- uncensored
+- mlx
+- mlx-my-repo
+---
+
+# SnowFlash383935/gemma-3-4b-it-abliterated-mlx-8Bit
+
+The Model [SnowFlash383935/gemma-3-4b-it-abliterated-mlx-8Bit](https://huggingface.co/SnowFlash383935/gemma-3-4b-it-abliterated-mlx-8Bit) was converted to MLX format from [huihui-ai/gemma-3-4b-it-abliterated](https://huggingface.co/huihui-ai/gemma-3-4b-it-abliterated) using mlx-lm version **0.22.3**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("SnowFlash383935/gemma-3-4b-it-abliterated-mlx-8Bit")
+
+prompt="hello"
+
+if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
+    messages = [{"role": "user", "content": prompt}]
+    prompt = tokenizer.apply_chat_template(
+        messages, tokenize=False, add_generation_prompt=True
+    )
+
+response = generate(model, tokenizer, prompt=prompt, verbose=True)
+```