ContextQ: Context Based adjustments for LLMs with attention and quantization
Project description
The author of this package has not provided a project description
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
contextq-0.1.3.tar.gz
(4.8 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file contextq-0.1.3.tar.gz.
File metadata
- Download URL: contextq-0.1.3.tar.gz
- Upload date:
- Size: 4.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3fc13957fb9d2ae8f8ca6990f8668b57f7b3a0bd7a877a5f1e00a49e52660c02
|
|
| MD5 |
f09c6fcc64d463a8badc6041328866e6
|
|
| BLAKE2b-256 |
aef24a2a99f06fefffc282055a1ac0ebb01ba01c3dfe7bd5511b4682989817ec
|
File details
Details for the file contextq-0.1.3-py3-none-any.whl.
File metadata
- Download URL: contextq-0.1.3-py3-none-any.whl
- Upload date:
- Size: 4.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
adaa57c3cefc33d3458521b52a6549540329341ffa25a09b64b0816c26413044
|
|
| MD5 |
e3d083f5fce5d966cc480e862c19ea68
|
|
| BLAKE2b-256 |
602fb574de063d36c082431d42dffb988cd05ebffc65e671d8a3724620af86ba
|