v0.0.16
版本发布时间: 2024-03-20 15:23:05
turboderp/exllamav2最新发布版本:v0.0.21(2024-05-11 21:31:56)
- Adds support for Cohere models
- N-gram decoding
- A few bugfixes
- Lots of optimizations
Full Changelog: https://github.com/turboderp/exllamav2/compare/v0.0.15...v0.0.16
1、 exllamav2-0.0.16+cu117-cp310-cp310-linux_x86_64.whl 94.57MB
2、 exllamav2-0.0.16+cu117-cp310-cp310-win_amd64.whl 94.57MB
3、 exllamav2-0.0.16+cu117-cp311-cp311-linux_x86_64.whl 94.57MB
4、 exllamav2-0.0.16+cu117-cp311-cp311-win_amd64.whl 94.56MB
5、 exllamav2-0.0.16+cu117-cp38-cp38-linux_x86_64.whl 94.57MB
6、 exllamav2-0.0.16+cu117-cp38-cp38-win_amd64.whl 94.56MB
7、 exllamav2-0.0.16+cu117-cp39-cp39-linux_x86_64.whl 94.57MB
8、 exllamav2-0.0.16+cu117-cp39-cp39-win_amd64.whl 94.57MB
9、 exllamav2-0.0.16+cu118-cp310-cp310-linux_x86_64.whl 124.66MB
10、 exllamav2-0.0.16+cu118-cp310-cp310-win_amd64.whl 124.65MB
11、 exllamav2-0.0.16+cu118-cp311-cp311-linux_x86_64.whl 124.66MB
12、 exllamav2-0.0.16+cu118-cp311-cp311-win_amd64.whl 124.65MB
13、 exllamav2-0.0.16+cu118-cp38-cp38-linux_x86_64.whl 124.66MB
14、 exllamav2-0.0.16+cu118-cp38-cp38-win_amd64.whl 124.65MB
15、 exllamav2-0.0.16+cu118-cp39-cp39-linux_x86_64.whl 124.66MB
16、 exllamav2-0.0.16+cu118-cp39-cp39-win_amd64.whl 124.65MB
17、 exllamav2-0.0.16+cu121-cp310-cp310-linux_x86_64.whl 126.12MB
18、 exllamav2-0.0.16+cu121-cp310-cp310-win_amd64.whl 126.12MB
19、 exllamav2-0.0.16+cu121-cp311-cp311-linux_x86_64.whl 126.12MB
20、 exllamav2-0.0.16+cu121-cp311-cp311-win_amd64.whl 126.12MB
21、 exllamav2-0.0.16+cu121-cp38-cp38-linux_x86_64.whl 126.12MB
22、 exllamav2-0.0.16+cu121-cp38-cp38-win_amd64.whl 126.12MB
23、 exllamav2-0.0.16+cu121-cp39-cp39-linux_x86_64.whl 126.12MB
24、 exllamav2-0.0.16+cu121-cp39-cp39-win_amd64.whl 126.12MB
25、 exllamav2-0.0.16+rocm5.6-cp310-cp310-linux_x86_64.whl 33.08MB
26、 exllamav2-0.0.16+rocm5.6-cp311-cp311-linux_x86_64.whl 33.12MB
27、 exllamav2-0.0.16-cp38-cp38-linux_x86_64.whl 33.12MB
28、 exllamav2-0.0.16-cp39-cp39-linux_x86_64.whl 33.08MB
29、 exllamav2-0.0.16-py3-none-any.whl 149.38KB