FastML: The unified Machine Learning Acceleration Framework - Combining FastArray, FastData, and JAX-based acceleration with extreme compression for TPU/GPU/CPU
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Release files for FastML-Unified 2.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| fastml_unified-2.0.0.tar.gz | 29.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fastml_unified-2.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 63.1 kB
Release files / fastml_unified-2.0.0.tar.gz
| Download URL | fastml_unified-2.0.0.tar.gz |
|---|---|
| Size | 29.0 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/6.2.0 CPython/3.13.7
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Release files / fastml_unified-2.0.0-py3-none-any.whl
| Download URL | fastml_unified-2.0.0-py3-none-any.whl |
|---|---|
| Size | 34.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
9cb53e61b714175af47a775822f92011296ada20b350acec7c587bf3362e496a
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.7
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