MLX-MOE Models Package
The mlx-moe package offers custom MLX Mixture of Experts (MoE) models, streamlining the process of leveraging sophisticated MoE models for text generation, particularly in conjunction with the mlx-lm package. This tool is designed for developers and researchers who require advanced text generation capabilities, providing an easy pathway to utilize and integrate MoE models into their projects.
Features
- Custom MoE Model Support: Easily load and utilize your custom MLX MoE models for text generation.
- Easy Installation: Get started quickly with a simple pip installation command.
Installation
To install mlx-moe, simply run the following command in your terminal:
pip install mlx-moe
Usage
The mlx-moe package is designed to be used in conjunction with the mlx-lm package for generating text. After installing mlx-moe, you can load your custom MoE models as follows:
from mlx_moe.load import load_moe
model_path = "path_to_your_model"
model = load_moe(model_path)
Metadata
Release files for mlx-moe 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mlx-moe-0.0.2.tar.gz | 8.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mlx_moe-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 17.5 kB
Release files / mlx-moe-0.0.2.tar.gz
| Download URL | mlx-moe-0.0.2.tar.gz |
|---|---|
| Size | 8.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.13
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Release files / mlx_moe-0.0.2-py3-none-any.whl
| Download URL | mlx_moe-0.0.2-py3-none-any.whl |
|---|---|
| Size | 9.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.13
|