Instructions to use dheeraj1508/phi-2-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use dheeraj1508/phi-2-4bit with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("dheeraj1508/phi-2-4bit") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- MLX LM
How to use dheeraj1508/phi-2-4bit with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "dheeraj1508/phi-2-4bit" --prompt "Once upon a time"
metadata
language:
- en
license: mit
license_link: https://huggingface.co/microsoft/phi-2/resolve/main/LICENSE
pipeline_tag: text-generation
tags:
- nlp
- code
- mlx
dheeraj1508/phi-2-4bit
The Model dheeraj1508/phi-2-4bit was converted to MLX format from microsoft/phi-2 using mlx-lm version 0.14.3.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("dheeraj1508/phi-2-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)