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README.md

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+---
+license: gemma
+tags:
+- gemma3
+- gemma
+- google
+- functiongemma
+- mlx
+- mlx
+- mlx-my-repo
+pipeline_tag: text-generation
+library_name: mlx
+extra_gated_heading: Access Gemma on Hugging Face
+extra_gated_prompt: To access FunctionGemma 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: mlx-community/functiongemma-270m-it-bf16
+---
+
+# introvoyz041/functiongemma-270m-it-bf16-mlx-4Bit
+
+The Model [introvoyz041/functiongemma-270m-it-bf16-mlx-4Bit](https://huggingface.co/introvoyz041/functiongemma-270m-it-bf16-mlx-4Bit) was converted to MLX format from [mlx-community/functiongemma-270m-it-bf16](https://huggingface.co/mlx-community/functiongemma-270m-it-bf16) 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("introvoyz041/functiongemma-270m-it-bf16-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)
+```