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README.md

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+---
+base_model: unsloth/Llama-3.3-70B-Instruct
+language:
+- en
+library_name: transformers
+license: llama3.3
+tags:
+- llama-3
+- llama
+- meta
+- facebook
+- unsloth
+- transformers
+- pytorch
+- mlx
+- mlx-my-repo
+---
+
+# cnfusion/Llama-3.3-70B-Instruct-Q2-mlx
+
+The Model [cnfusion/Llama-3.3-70B-Instruct-Q2-mlx](https://huggingface.co/cnfusion/Llama-3.3-70B-Instruct-Q2-mlx) was converted to MLX format from [unsloth/Llama-3.3-70B-Instruct](https://huggingface.co/unsloth/Llama-3.3-70B-Instruct) using mlx-lm version **0.19.2**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("cnfusion/Llama-3.3-70B-Instruct-Q2-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)
+```