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 00:03:29 2025 |
md5 checksum | a31655c96d1ce21bd53bdb8ea2e275b7 |
arch | x86_64 |
build | py310h1128e8f_0 |
depends | libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy >=1.21.6,<2.0a0, python >=3.10,<3.11.0a0 |
license | Apache-2.0 |
license_family | APACHE |
md5 | a31655c96d1ce21bd53bdb8ea2e275b7 |
name | ml_dtypes |
platform | linux |
sha1 | 564809061e7fbae84dbfd532f996b7c3470e176b |
sha256 | ae9a6eefc37a831d96bfff33d1938450a2f50acf4ff707635c15de8e673c780d |
size | 172650 |
subdir | linux-64 |
timestamp | 1722369162602 |
version | 0.4.0 |