An embedding model toolkit; fine-tune SOTA LLMs on knowledge bases rapidly.
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
llm_magnet-0.0.1.tar.gz
(8.6 kB
view details)
Built Distribution
File details
Details for the file llm_magnet-0.0.1.tar.gz.
File metadata
- Download URL: llm_magnet-0.0.1.tar.gz
- Upload date:
- Size: 8.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | ea7f54814519493b784575a044f18b4b0db3688d4bc5f9b93b8375dd03d8fe75 |
|
| MD5 | 9380674df69d58931f5ca16b2282e7f5 |
|
| BLAKE2b-256 | ae097fd4b55ea679260a8e9f0088b5b2c3c723dd6fe351fc4c685fcac3733506 |
File details
Details for the file llm_magnet-0.0.1-py3-none-any.whl.
File metadata
- Download URL: llm_magnet-0.0.1-py3-none-any.whl
- Upload date:
- Size: 9.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 002c823373a820ca0c1495d4bba76a262221a1b007c7d0fa390a953b7fbf66b2 |
|
| MD5 | 55b17faf7f108c3a8baf48f293edc7c1 |
|
| BLAKE2b-256 | 5a9c970e32cb0f2f07b6bad3cf80434ccc080919617344b1ed90b6b4cc1782e4 |
