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
Project details
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_tractor_beam-0.0.9.tar.gz
(24.0 kB
view details)
Built Distribution
File details
Details for the file llm_tractor_beam-0.0.9.tar.gz
.
File metadata
- Download URL: llm_tractor_beam-0.0.9.tar.gz
- Upload date:
- Size: 24.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.19
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 64af253256d472b887c1cd32a3892e691d9234a31603b3299feb2687222e1989 |
|
MD5 | 910d4f36af059c35baa04c8e5207b699 |
|
BLAKE2b-256 | 8adda8c709cd921a901f43b1117601ddff22228f03c7699810546177bae2b574 |
File details
Details for the file llm_tractor_beam-0.0.9-py3-none-any.whl
.
File metadata
- Download URL: llm_tractor_beam-0.0.9-py3-none-any.whl
- Upload date:
- Size: 22.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.19
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9e4750dc0d03676b6fca37ad470105aad0373299749fa62581fdc2a125647ecc |
|
MD5 | 019669da12140035d7f1dfde9b38c5b7 |
|
BLAKE2b-256 | 702020c90b1a5fbbdff95b12267839489df84a245ed2ab1e7240e30661a1be22 |