metadata
language:
- multilingual
license: mit
tags:
- nlp
- code
- mlx
license_link: >-
https://huggingface.co/microsoft/Phi-3-medium-128k-instruct/resolve/main/LICENSE
pipeline_tag: text-generation
inference:
parameters:
temperature: 0.7
widget:
- messages:
- role: user
content: Can you provide ways to eat combinations of bananas and dragonfruits?
ipihq/Phi-3-medium-128k-instruct_q
The Model ipihq/Phi-3-medium-128k-instruct_q was converted to MLX format from microsoft/Phi-3-medium-128k-instruct using mlx-lm version 0.14.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("ipihq/Phi-3-medium-128k-instruct_q")
response = generate(model, tokenizer, prompt="hello", verbose=True)