Upload README.md with huggingface_hub

README.md

@@ -0,0 +1,67 @@
+---
+language:
+- multilingual
+- ar
+- zh
+- cs
+- da
+- nl
+- en
+- fi
+- fr
+- de
+- he
+- hu
+- it
+- ja
+- ko
+- 'no'
+- pl
+- pt
+- ru
+- es
+- sv
+- th
+- tr
+- uk
+library_name: transformers
+license: mit
+license_link: https://huggingface.co/microsoft/Phi-4-mini-instruct/resolve/main/LICENSE
+pipeline_tag: text-generation
+tags:
+- nlp
+- code
+- mlx
+- mlx-my-repo
+widget:
+- messages:
+  - role: user
+    content: Can you provide ways to eat combinations of bananas and dragonfruits?
+base_model: microsoft/Phi-4-mini-instruct
+---
+
+# alexgusevski/Phi-4-mini-instruct-mlx-fp16
+
+The Model [alexgusevski/Phi-4-mini-instruct-mlx-fp16](https://huggingface.co/alexgusevski/Phi-4-mini-instruct-mlx-fp16) was converted to MLX format from [microsoft/Phi-4-mini-instruct](https://huggingface.co/microsoft/Phi-4-mini-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("alexgusevski/Phi-4-mini-instruct-mlx-fp16")
+
+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)
+```