Efficiently run models quantized with AQLM
Project description
The author of this package has not provided a project description
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
aqlm-1.0.0.dev7.tar.gz
(7.5 kB
view details)
Built Distribution
File details
Details for the file aqlm-1.0.0.dev7.tar.gz.
File metadata
- Download URL: aqlm-1.0.0.dev7.tar.gz
- Upload date:
- Size: 7.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | edcd1024c25d06110da8a898496b5c877dede939fd8acc2ea7dfcc5e444765f4 |
|
| MD5 | 355a4695c594269bbf08adeba676ba38 |
|
| BLAKE2b-256 | fa1beb57d17a8341dd6d6acf6f7d4e458de83e55e6376de615c4a34218ea3e06 |
File details
Details for the file aqlm-1.0.0.dev7-py3-none-any.whl.
File metadata
- Download URL: aqlm-1.0.0.dev7-py3-none-any.whl
- Upload date:
- Size: 8.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 8168d66b1e34ec911f5d673077c6c1a5f85412e8ee8448c10be49cd64712ddb6 |
|
| MD5 | 7f15188f7be338218fa0b50ea0f8e7b0 |
|
| BLAKE2b-256 | 56b98cdd8d49539f02c14bc4db69ba317aa4049e6ef07384b3bd1e90ca230866 |
