mlllm
multi-level large language models
https://en.wikipedia.org/wiki/Universal_approximation_theorem
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
mlllm-0.0.1.tar.gz
(4.5 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
mlllm-0.0.1-py3-none-any.whl
(5.6 kB
view details)
File details
Details for the file mlllm-0.0.1.tar.gz.
File metadata
- Download URL: mlllm-0.0.1.tar.gz
- Upload date:
- Size: 4.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/4.0.2 CPython/3.11.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4aa134b4d39e5dc14fc3e514ef0cf42550adcaf69ed2c8e30c89ce2d4938240f
|
|
| MD5 |
1242ff4d42145719d50a957e84ce6c30
|
|
| BLAKE2b-256 |
3e4b9dc85b2917fe8f7e18fd9ad73c32364573650df565639b02b557fa218d69
|
File details
Details for the file mlllm-0.0.1-py3-none-any.whl.
File metadata
- Download URL: mlllm-0.0.1-py3-none-any.whl
- Upload date:
- Size: 5.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/4.0.2 CPython/3.11.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2a8b517eac78db3e7776bbf73c7e197fde88f8c243a4806b9b13bd3a5d311e21
|
|
| MD5 |
ed63600405d9aac820744ebb13bf4524
|
|
| BLAKE2b-256 |
8f70a549505b858165b60ee9156b7ab54afb6d621c55a3bc13e484584080d215
|
