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 | cc57e7d092b3b6868dde0a5e7f94a709 |
| arch | x86_64 |
| build | py311ha02d727_0 |
| depends | libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy >=1.23.5,<2.0a0, python >=3.11,<3.12.0a0 |
| license | Apache-2.0 |
| license_family | APACHE |
| md5 | cc57e7d092b3b6868dde0a5e7f94a709 |
| name | ml_dtypes |
| platform | linux |
| sha1 | 810b73005d1fe89c415f7ea8e0c2aa96ed2f5b2e |
| sha256 | 64e6b36069041757ff400d7aa7dfdcdb9427c31e13a4ec6ec3462b320ab92090 |
| size | 174903 |
| subdir | linux-64 |
| timestamp | 1702691259676 |
| version | 0.3.1 |