metadata
language:
- multilingual
library_name: transformers
license: mit
license_link: https://huggingface.co/microsoft/Phi-3.5-mini-instruct/resolve/main/LICENSE
pipeline_tag: text-generation
tags:
- nlp
- code
- mlx
widget:
- messages:
- role: user
content: Can you provide ways to eat combinations of bananas and dragonfruits?
decisionslab/Phi-3.5-mini-instruct-4-bit-HK
The Model decisionslab/Phi-3.5-mini-instruct-4-bit-HK was converted to MLX format from microsoft/Phi-3.5-mini-instruct using mlx-lm version 0.17.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("decisionslab/Phi-3.5-mini-instruct-4-bit-HK")
response = generate(model, tokenizer, prompt="hello", verbose=True)