mlllm
multi-level large language models
https://en.wikipedia.org/wiki/Universal_approximation_theorem
1 maintainer
Metadata
1 maintainer
Release files for mlllm 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mlllm-0.0.1.tar.gz | 4.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mlllm-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.1 kB
Release files / mlllm-0.0.1.tar.gz
| Download URL | mlllm-0.0.1.tar.gz |
|---|---|
| Size | 4.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.3
|
Release files / mlllm-0.0.1-py3-none-any.whl
| Download URL | mlllm-0.0.1-py3-none-any.whl |
|---|---|
| Size | 5.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
2a8b517eac78db3e7776bbf73c7e197fde88f8c243a4806b9b13bd3a5d311e21
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.3
|
