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 00:03:32 2025 |
| md5 checksum | ec6825b7e1f0cc1d0360e590e4316c43 |
| arch | x86_64 |
| build | py312h526ad5a_0 |
| depends | libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy >=1.26.2,<2.0a0, python >=3.12,<3.13.0a0 |
| license | Apache-2.0 |
| license_family | APACHE |
| md5 | ec6825b7e1f0cc1d0360e590e4316c43 |
| name | ml_dtypes |
| platform | linux |
| sha1 | f3fa542b87f334f5a2b0a7c0ee583fa2ef636865 |
| sha256 | 04897ccd9788f0bc70afc0a4e98d04dbd5364ea528597df6cacd4350f9d9e2c6 |
| size | 174310 |
| subdir | linux-64 |
| timestamp | 1702691090138 |
| version | 0.3.1 |