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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