Implementation of LLMs in pytorch
Project description
LLMcollection is a collection of open source LLMs implemented from scratch in pytorch. The accompanied code and documentation is present in this github repo.
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
llmcollection-0.2.0.tar.gz
(4.0 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 llmcollection-0.2.0.tar.gz.
File metadata
- Download URL: llmcollection-0.2.0.tar.gz
- Upload date:
- Size: 4.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.3 CPython/3.11.2 Windows/10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ef4244792c08b8d85e361ac0b39d10d6008e05b7c843471e0043116af307754d
|
|
| MD5 |
b20eb555a841724bd4153eee173b4475
|
|
| BLAKE2b-256 |
ee0ca7b8e23a2a792437491d60a119690bbd6ecc3e1f1e32f4c5692b6e4ec233
|
File details
Details for the file llmcollection-0.2.0-py3-none-any.whl.
File metadata
- Download URL: llmcollection-0.2.0-py3-none-any.whl
- Upload date:
- Size: 7.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.3 CPython/3.11.2 Windows/10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8d5f57d08375d093c34c04ce11239913e234de75099af1883573c6f8acf5f9cf
|
|
| MD5 |
2d9fdb8f4cc6f70dca8eb7dd6744583f
|
|
| BLAKE2b-256 |
70f9f5676ecf47d680b89e3051c30205d9558c8b0acd4023ba28b6730ac1612d
|
