ml_dtypes is a stand-alone implementation of several NumPy dtype extensions used in machine learning libraries, including: bfloat16: an alternative to the standard float16 format float8_*: several experimental 8-bit floating point representations including: float8_e4m3b11fnuz, float8_e4m3fn, float8_e4m3fnuz, float8_e5m2, float8_e5m2fnuz int4 and uint4: low precision integer types.
| Uploaded | Mon Mar 31 00:03:27 2025 |
| md5 checksum | 17c45046db51b4cca862c6b1a25f484f |
| arch | x86_64 |
| build | py310h6a678d5_0 |
| depends | libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy >=1.21,<3, numpy >=1.21.2, python >=3.10,<3.11.0a0 |
| license | Apache-2.0 |
| license_family | APACHE |
| md5 | 17c45046db51b4cca862c6b1a25f484f |
| name | ml_dtypes |
| platform | linux |
| sha1 | 5ba4b8c3a1758d44188f7360fbbf8600c562732f |
| sha256 | 4a4f6263ff8987101a3d305db09236d03b1d54aed24ddfb61918d33fc8214a92 |
| size | 308370 |
| subdir | linux-64 |
| timestamp | 1734018960021 |
| version | 0.5.0 |