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 00:03:30 2025 |
| md5 checksum | f6fe66ed37864c9e0c1938ccad93e900 |
| arch | x86_64 |
| build | py312h526ad5a_0 |
| depends | libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy >=1.26.4,<2.0a0, python >=3.12,<3.13.0a0 |
| license | Apache-2.0 |
| license_family | APACHE |
| md5 | f6fe66ed37864c9e0c1938ccad93e900 |
| name | ml_dtypes |
| platform | linux |
| sha1 | 8f05db3fdc571eea58933fb91789a66e6cf749ca |
| sha256 | b679e4fcf74188b4bb6d1d18d1d32ba879575398ed38ed8e26398aaa979605a2 |
| size | 177319 |
| subdir | linux-64 |
| timestamp | 1722369294870 |
| version | 0.4.0 |