Instructions to use mlx-community/OpenELM-270M-Instruct-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/OpenELM-270M-Instruct-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download mlx-community/OpenELM-270M-Instruct-4bit --local-dir OpenELM-270M-Instruct-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
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Download README.md from mlx-community/OpenELM-270M-Instruct-4bit: direct link, hf CLI and curl.
- Browser
- Download file 665 Bytes
-
https://huggingface.co/mlx-community/OpenELM-270M-Instruct-4bit/resolve/main/README.md
- Command line
-
hf download hf://mlx-community/OpenELM-270M-Instruct-4bit/README.md
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curl -L -o README.md https://huggingface.co/mlx-community/OpenELM-270M-Instruct-4bit/resolve/main/README.md
665 Bytes
metadata
license: other
tags:
- mlx
- mlx
license_name: apple-sample-code-license
license_link: LICENSE
mlx-community/OpenELM-270M-Instruct-4bit
The Model mlx-community/OpenELM-270M-Instruct-4bit was converted to MLX format from mlx-community/OpenELM-270M-Instruct using mlx-lm version 0.14.0.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/OpenELM-270M-Instruct-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)