README.md

metadata

language:
  - multilingual
license: mit
library_name: transformers
tags:
  - nlp
  - code
  - mlx
base_model: microsoft/Phi-3.5-mini-instruct
license_link: https://huggingface.co/microsoft/Phi-3.5-mini-instruct/resolve/main/LICENSE
pipeline_tag: text-generation
widget:
  - messages:
      - role: user
        content: Can you provide ways to eat combinations of bananas and dragonfruits?

zachaman/phi35mini_mlx

The Model zachaman/phi35mini_mlx was converted to MLX format from microsoft/Phi-3.5-mini-instruct using mlx-lm version 0.19.3.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("zachaman/phi35mini_mlx")

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)