GradGPT
Adam who? Your next PyTorch optimiser can be a cutting-edge LLM...
Demo video
How to use it in 1-2-3
- Install this package from PyPI
pip install gradgpt
- Import it
import gradgpt
- You can now use it like any other PyTorch optimiser!
optimiser = gradgpt.GradGPT(llm="gpt-5", llm_provider="openai")
# is a torch.optim.Optimizer
Disclaimer: Let it be on the record that I said you can, not you should.
Contributions
You can try to open a PR on GitHub, but no guarantee of merge or even review.
1 maintainer
Metadata
1 maintainer
Release files for gradgpt 0.1.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| gradgpt-0.1.5.tar.gz | 4.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gradgpt-0.1.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.2 kB
Release files / gradgpt-0.1.5.tar.gz
| Download URL | gradgpt-0.1.5.tar.gz |
|---|---|
| Size | 4.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
e9d45c96347bc361931c9f62b389aef0f81c3aff8d3d7cf3234dbbd138015f9f
|
|
BLAKE2b-256 checksum How to use checksums |
692903bfe38539d044e248055fe19c86478d61a10c878e33ee64bc8db587fe82
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.11.5
|
Release files / gradgpt-0.1.5-py3-none-any.whl
| Download URL | gradgpt-0.1.5-py3-none-any.whl |
|---|---|
| Size | 5.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
84f7ad531bc0502ebdae0fd99f85b23cc064f400ae81d6b1ab22abda4ceee75d
|
|
BLAKE2b-256 checksum How to use checksums |
a60b603f03bafb20a35ab1b1f2e9996e32a3282bc69780b426b8f61827f9e24e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.11.5
|
Security for gradgpt 0.1.5
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
