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--- |
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license: mit |
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license_link: https://huggingface.co/microsoft/Phi-4-mini-instruct/resolve/main/LICENSE |
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language: |
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- multilingual |
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- ar |
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- zh |
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- cs |
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- da |
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- nl |
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- en |
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- fi |
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- fr |
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- de |
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- he |
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- hu |
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- it |
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- ja |
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- ko |
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- 'no' |
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- pl |
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- pt |
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- ru |
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- es |
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- sv |
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- th |
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- tr |
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- uk |
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pipeline_tag: text-generation |
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tags: |
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- nlp |
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- code |
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- mlx |
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widget: |
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- messages: |
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- role: user |
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content: Can you provide ways to eat combinations of bananas and dragonfruits? |
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library_name: transformers |
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base_model: microsoft/Phi-4-mini-instruct |
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--- |
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# johnnydevriese/phi-4-mini-instruct-4bit |
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The Model [johnnydevriese/phi-4-mini-instruct-4bit](https://huggingface.co/johnnydevriese/phi-4-mini-instruct-4bit) was |
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converted to MLX format from [microsoft/Phi-4-mini-instruct](https://huggingface.co/microsoft/Phi-4-mini-instruct) |
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using mlx-lm version **0.21.5**. |
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## Use with mlx |
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```bash |
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pip install mlx-lm |
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``` |
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```python |
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from mlx_lm import load, generate |
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model, tokenizer = load("johnnydevriese/phi-4-mini-instruct-4bit") |
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prompt = "hello" |
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if tokenizer.chat_template is not None: |
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messages = [{"role": "user", "content": prompt}] |
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prompt = tokenizer.apply_chat_template( |
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messages, add_generation_prompt=True |
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) |
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response = generate(model, tokenizer, prompt=prompt, verbose=True) |
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``` |
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