Commit graph

114 commits

Author SHA1 Message Date
Andrei Betlen
92c077136d Add experimental cache 2023-04-15 12:03:09 -04:00
Andrei Betlen
6c7cec0c65 Fix completion request 2023-04-14 10:01:15 -04:00
Andrei Betlen
4f5f99ef2a Formatting 2023-04-12 22:40:12 -04:00
Andrei Betlen
0daf16defc Enable logprobs on completion endpoint 2023-04-12 19:08:11 -04:00
Andrei Betlen
19598ac4e8 Fix threading bug. Closes #62 2023-04-12 19:07:53 -04:00
Andrei Betlen
b3805bb9cc Implement logprobs parameter for text completion. Closes #2 2023-04-12 14:05:11 -04:00
Andrei Betlen
213cc5c340 Remove async from function signature to avoid blocking the server 2023-04-11 11:54:31 -04:00
Andrei Betlen
0067c1a588 Formatting 2023-04-08 16:01:18 -04:00
Andrei Betlen
da539cc2ee Safer calculation of default n_threads 2023-04-06 21:22:19 -04:00
Andrei Betlen
930db37dd2 Merge branch 'main' of github.com:abetlen/llama_cpp_python into main 2023-04-06 21:07:38 -04:00
Andrei Betlen
55279b679d Handle prompt list 2023-04-06 21:07:35 -04:00
MillionthOdin16
c283edd7f2 Set n_batch to default values and reduce thread count:
Change batch size to the llama.cpp default of 8. I've seen issues in llama.cpp where batch size affects quality of generations. (It shouldn't) But in case that's still an issue I changed to default.

Set auto-determined num of threads to 1/2 system count. ggml will sometimes lock cores at 100% while doing nothing. This is being addressed, but can cause bad experience for user if pegged at 100%
2023-04-05 18:17:29 -04:00
MillionthOdin16
76a82babef Set n_batch to the default value of 8. I think this is leftover from when n_ctx was missing and n_batch was 2048. 2023-04-05 17:44:53 -04:00
Andrei Betlen
44448fb3a8 Add server as a subpackage 2023-04-05 16:23:25 -04:00