51 lines
1.1 KiB
Markdown
51 lines
1.1 KiB
Markdown
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---
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license: mit
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datasets:
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- microsoft/mediflow
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- ncbi/pubmed
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- epfl-llm/guidelines
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- starmpcc/Asclepius-Synthetic-Clinical-Notes
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- akemiH/NoteChat
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- zhengyun21/PMC-Patients
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- jpcorb20/medical_wikipedia
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language:
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- en
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base_model: microsoft/MediPhi-Instruct
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library_name: mlx
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tags:
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- merge
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- mergekit
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- medical
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- clinical
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- mlx
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pipeline_tag: text-generation
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---
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# mlx-community/MediPhi-Instruct-bf16
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This model [mlx-community/MediPhi-Instruct-bf16](https://huggingface.co/mlx-community/MediPhi-Instruct-bf16) was
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converted to MLX format from [microsoft/MediPhi-Instruct](https://huggingface.co/microsoft/MediPhi-Instruct)
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using mlx-lm version **0.25.3**.
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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("mlx-community/MediPhi-Instruct-bf16")
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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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