AutoAWQ Kernels implements the AWQ kernels.
Project description
AutoAWQ Kernels
AutoAWQ Kernels is a new package that is split up from the main repository in order to avoid compilation times.
Requirements
- Windows: Must use WSL2.
- GPU: Must be compute capability 7.5 or higher.
- CUDA Toolkit: Must be 11.8 or higher.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distributions
Close
Hashes for autoawq_kernels-0.0.1-cp311-cp311-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | c851a09a1eb9dd48f4d990d7ac85d6e89be11607d5edd21178e2ebd62bb417ff |
|
MD5 | 6a55b8a159d76caf7b5075a09c80b77c |
|
BLAKE2b-256 | 2bdae00caef8a3315cafcd013947b06c330a892e98b817a7c121e76861afc727 |
Close
Hashes for autoawq_kernels-0.0.1-cp311-cp311-manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 52a9dd217af89c8e33c25ee7cc155795ff3be8925f5a74ed4741c6d6d56a017f |
|
MD5 | 6994bf1cdbe72c5d8e24746d168e418a |
|
BLAKE2b-256 | 55c8b4d6a63286f82a9ed15b2eea27086e2bfb28eb68481540e5cba2a8c701d0 |
Close
Hashes for autoawq_kernels-0.0.1-cp310-cp310-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | e12db43f72e6ca9c4cb65045c9c70d52f50c043da6a277ac4a5a66a813d2a5ac |
|
MD5 | 81b2044ea7acb38698e72569f73801d2 |
|
BLAKE2b-256 | 00606c37a5b8e819502745fb0ee294c31829baec139d068e7bc1d92268a7420d |
Close
Hashes for autoawq_kernels-0.0.1-cp310-cp310-manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3eece87469c4f21d41b500b6e7ea5660547ec97b668507d75a1466ce960d203c |
|
MD5 | 66263bdc20a3208bafdef03d7f1b91dc |
|
BLAKE2b-256 | ffc35a646ef885b3cbcd357931cc63351f71123da956d696ec734d1d972288a0 |
Close
Hashes for autoawq_kernels-0.0.1-cp39-cp39-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 24c6c3960f5dcdcb3a60fa66e9340b925ba646a0bd23253c72ab32cd58caa953 |
|
MD5 | 510762b43d32dd674f6c073b3e9c5405 |
|
BLAKE2b-256 | af58e43797f8665f33b3ef7bde48a185b0085911b65f5bfac231f69ae238344b |
Close
Hashes for autoawq_kernels-0.0.1-cp39-cp39-manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 718f99df436bcd06f5dc8263498070750b273451f47544f898b4a259b55558f1 |
|
MD5 | d4080acca40a23981b5b83a8f23304f0 |
|
BLAKE2b-256 | a0cb2ea5c66a42eea23a1423c4a711f3f387a0a1f0553cc6d6ce4a4098ec359d |
Close
Hashes for autoawq_kernels-0.0.1-cp38-cp38-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | a442203c298b66432bfc904347addfc50bd0d839254c603d73853d5e2f746d8a |
|
MD5 | a7432a89aea4f5e287b6bff425c74dbc |
|
BLAKE2b-256 | f337bab13e19ae86b7620d59ccc386c22a7bb8ee2094d5fe11274951eb0a86c5 |
Close
Hashes for autoawq_kernels-0.0.1-cp38-cp38-manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | b87cd3a73c0557b0f88722a9b1e2ce64efa2b8736cbcd2c0902fcea2c4d641ec |
|
MD5 | 973685c8d7285b29c3abadd571c65414 |
|
BLAKE2b-256 | abb2a0a9dc11724a98feb1e19523d96b1596a502380bfccb23e592a9ae79d810 |