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README.md

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+---
+pipeline_tag: text-generation
+library_name: transformers
+language:
+- en
+thumbnail: '"https://cdn-uploads.huggingface.co/production/uploads/62f93f9477b722f1866398c2/69escIKmO-vEzFUj_m0WX.png"'
+tags:
+- text-generation
+- uncensored
+- direct-answer
+- information-retrieval
+- general-knowledge
+- unfiltered
+- amoral-ai
+- mlx
+- mlx-my-repo
+base_model: soob3123/GrayLine-Gemma3-4B
+datasets:
+- soob3123/GrayLine-QA
+license: apache-2.0
+---
+
+# Disya/GrayLine-Gemma3-4B-mlx-4Bit
+
+The Model [Disya/GrayLine-Gemma3-4B-mlx-4Bit](https://huggingface.co/Disya/GrayLine-Gemma3-4B-mlx-4Bit) was converted to MLX format from [soob3123/GrayLine-Gemma3-4B](https://huggingface.co/soob3123/GrayLine-Gemma3-4B) using mlx-lm version **0.28.3**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("Disya/GrayLine-Gemma3-4B-mlx-4Bit")
+
+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)
+```