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 22:43:44 2025 |
| md5 checksum | f51891dae8617ee2094e3bf59f7294fa |
| arch | x86_64 |
| build | py312h6a678d5_0 |
| depends | libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy >=1.21,<3, numpy >=1.26.0, python >=3.12,<3.13.0a0 |
| license | Apache-2.0 |
| license_family | APACHE |
| md5 | f51891dae8617ee2094e3bf59f7294fa |
| name | ml_dtypes |
| platform | linux |
| sha1 | 1f922450a0bcdec123137e7b4b2de695fa47209e |
| sha256 | 62c87cadd2e7a9242812c24b89341e29e00afcb1c5760b81d063663a96dc23f6 |
| size | 309362 |
| subdir | linux-64 |
| timestamp | 1734019211846 |
| version | 0.5.0 |