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license: mit |
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# **Phi-3.5-mini-instruct-mlx-int4** |
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This is a quantized INT4 model based on Apple MLX Framework Phi-3.5-mini-instruct. You can deploy it on Apple Silicon devices (M1,M2,M3). |
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<b><span style="text-decoration:underline">Note: This is unoffical version,just for test and dev.</span></b> |
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## **Installation** |
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```bash |
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pip install -U mlx-lm |
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``` |
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## **Conversion** |
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```bash |
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python -m mlx_lm.convert --hf-path microsoft/Phi-3.5-mini-instruct -q |
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``` |
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## **Samples** |
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```python |
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from mlx_lm import load, generate |
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model, tokenizer = load("Your Phi-3.5-instruct-mlx-int4 Path") |
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prompt = tokenizer.apply_chat_template( |
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[{"role": "user", "content": "能介绍一下 iOS 吗？"}], |
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tokenize=False, |
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add_generation_prompt=True, |
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) |
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response = generate(model, tokenizer, prompt=prompt,max_tokens=1024, verbose=True) |
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``` |
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