Hippogriff
This repository implements Hawk and Griffin blocks from Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models using Accelerated Scan and Flash Attention for PyTorch.
pip install hippogriff
1 maintainer
Metadata
1 maintainer
Release files for hippogriff 0.0.2
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 | Actions |
|---|---|---|---|---|
| hippogriff-0.0.2.tar.gz | 1.2 MB | Without provenance | Details for hippogriff-0.0.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| hippogriff-0.0.2-py3-none-any.whl | Python 3 | none | any | Details for hippogriff-0.0.2-py3-none-any.whl |
Total release size: 1.2 MB
Release files / hippogriff-0.0.2.tar.gz
| Download URL | hippogriff-0.0.2.tar.gz |
|---|---|
| Size | 1.2 MB |
| 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 | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.12.2
|
Release files / hippogriff-0.0.2-py3-none-any.whl
| Download URL | hippogriff-0.0.2-py3-none-any.whl |
|---|---|
| Size | 4.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.12.2
|
Security for hippogriff 0.0.2
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None of the files in this release were uploaded with provenance metadata.
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