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 00:03:31 2025 |
| md5 checksum | c413bd2005fe82ae90ebf9120c103cb9 |
| arch | x86_64 |
| build | py310h1128e8f_0 |
| depends | libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy >=1.21.5,<2.0a0, python >=3.10,<3.11.0a0 |
| license | Apache-2.0 |
| license_family | APACHE |
| md5 | c413bd2005fe82ae90ebf9120c103cb9 |
| name | ml_dtypes |
| platform | linux |
| sha1 | 8d8145d32826400fcb898509dfe3483ca7f32212 |
| sha256 | a3cb729d6cc0a9a521bf68e150b9fcb0a37a44d8c5c5aa83e765a5186b963a62 |
| size | 172616 |
| subdir | linux-64 |
| timestamp | 1702691146224 |
| version | 0.3.1 |