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 00:03:28 2025 |
| md5 checksum | c40d01aab8ebc00b732d86f7c6ae3cf3 |
| arch | x86_64 |
| build | py311h6a678d5_0 |
| depends | libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy >=1.21,<3, numpy >=1.23.3, python >=3.11,<3.12.0a0 |
| license | Apache-2.0 |
| license_family | APACHE |
| md5 | c40d01aab8ebc00b732d86f7c6ae3cf3 |
| name | ml_dtypes |
| platform | linux |
| sha1 | e90cf0bbacb8bcfa0975c1f5b8f4ec960f65fcb7 |
| sha256 | e7347e8ed56dc25c8ba914bdb1cba3951701f0550ba0029441fa2f45229b1355 |
| size | 310936 |
| subdir | linux-64 |
| timestamp | 1734019150296 |
| version | 0.5.0 |