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 00:03:33 2025 |
| md5 checksum | 4290938160d0ae45ccb5725ce94ace8b |
| 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 | 4290938160d0ae45ccb5725ce94ace8b |
| name | ml_dtypes |
| platform | linux |
| sha1 | 0b25930581a764f1207e885e08a091f9e8132c51 |
| sha256 | fd4bf1089096ea05437c29e2253b568a7312484dc993c748317f9bb85e5e4e92 |
| size | 739471 |
| subdir | linux-64 |
| timestamp | 1694460129205 |
| version | 0.2.0 |