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README.md

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+---
+pipeline_tag: text-generation
+inference: false
+license: apache-2.0
+library_name: transformers
+tags:
+- language
+- granite-3.2
+- mlx
+- mlx-my-repo
+base_model: ibm-granite/granite-3.2-2b-instruct
+---
+
+# zshannon/granite-3.2-2b-instruct-Q4-mlx
+
+The Model [zshannon/granite-3.2-2b-instruct-Q4-mlx](https://huggingface.co/zshannon/granite-3.2-2b-instruct-Q4-mlx) was converted to MLX format from [ibm-granite/granite-3.2-2b-instruct](https://huggingface.co/ibm-granite/granite-3.2-2b-instruct) using mlx-lm version **0.21.5**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("zshannon/granite-3.2-2b-instruct-Q4-mlx")
+
+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)
+```