metadata
license: mit
license_link: https://huggingface.co/microsoft/phi-2/resolve/main/LICENSE
language:
- en
pipeline_tag: text-generation
tags:
- nlp
- code
- mlx
base_model: microsoft/phi-2
jesusoctavioas/phi-2-mlx-4Bit
The Model jesusoctavioas/phi-2-mlx-4Bit was converted to MLX format from microsoft/phi-2 using mlx-lm version 0.28.3.
Use with mlx
# Create a virtual enviroment if needed.
python -m venv mlx-venv
# then activate the virtual enviroment if needed.
source mlx-venv/bin/activate
# then install mlx.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("jesusoctavioas/phi-2-mlx-4Bit")
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)