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README.md

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+---
+language:
+- multilingual
+library_name: transformers
+license: mit
+license_link: https://huggingface.co/microsoft/Phi-3.5-mini-instruct/resolve/main/LICENSE
+pipeline_tag: text-generation
+tags:
+- nlp
+- code
+- mlx
+- mlx
+- mlx-my-repo
+widget:
+- messages:
+  - role: user
+    content: Can you provide ways to eat combinations of bananas and dragonfruits?
+base_model: mlx-community/Phi-3.5-mini-instruct-4bit
+---
+
+# introvoyz041/Phi-3.5-mini-instruct-4bit-mlx-4Bit
+
+The Model [introvoyz041/Phi-3.5-mini-instruct-4bit-mlx-4Bit](https://huggingface.co/introvoyz041/Phi-3.5-mini-instruct-4bit-mlx-4Bit) was converted to MLX format from [mlx-community/Phi-3.5-mini-instruct-4bit](https://huggingface.co/mlx-community/Phi-3.5-mini-instruct-4bit) 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/Phi-3.5-mini-instruct-4bit-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)
+```