Andrei Betlen
b047b3034e
Remove confusing helpstring from server cli args. Closes #719
2023-09-15 14:09:43 -04:00
Andrei Betlen
0449d29b9f
Fix boolean env vars and cli arguments
2023-09-13 23:09:57 -04:00
Andrei Betlen
c999325e8e
Fix boolean cli flags
2023-09-13 22:56:10 -04:00
Andrei Betlen
c4c440ba2d
Fix tensor_split cli option
2023-09-13 20:00:42 -04:00
Andrei Betlen
759405c84b
Fix issue with Literal and Optional cli arguments not working. Closes #702
2023-09-13 18:06:12 -04:00
Andrei Betlen
6f70cc4b7d
bugfix: pydantic settings missing / changed fields
2023-07-09 18:03:31 -04:00
Andrei Betlen
52753b77f5
Upgrade fastapi to 0.100.0 and pydantic v2
2023-07-07 21:38:46 -04:00
Gabor
3129a0e7e5
correction to add back environment variable support <3 docker
2023-06-11 01:11:24 +01:00
Gabor
3ea31930e5
fixes abetlen/llama-cpp-python #358
2023-06-11 00:58:08 +01:00
Andrei Betlen
29f094bbcf
Bugfix: not falling back to environment variables when default is value is set.
2023-05-08 14:46:25 -04:00
Andrei Betlen
0d6c60097a
Show default value when --help is called
2023-05-08 14:21:15 -04:00
Andrei Betlen
022e9ebcb8
Use environment variable if parsed cli arg is None
2023-05-08 14:20:53 -04:00
Andrei Betlen
24fc38754b
Add cli options to server. Closes #37
2023-05-05 12:08:28 -04:00
Andrei Betlen
9eafc4c49a
Refactor server to use factory
2023-05-01 22:38:46 -04:00
Lucas Doyle
efe8e6f879
llama_cpp server: slight refactor to init_llama function
...
Define an init_llama function that starts llama with supplied settings instead of just doing it in the global context of app.py
This allows the test to be less brittle by not needing to mess with os.environ, then importing the app
2023-04-29 11:42:23 -07:00
Lucas Doyle
468377b0e2
llama_cpp server: app is now importable, still runnable as a module
2023-04-29 11:41:25 -07:00
Andrei Betlen
3cab3ef4cb
Update n_batch for server
2023-04-25 09:11:32 -04:00
Andrei Betlen
e4647c75ec
Add use_mmap flag to server
2023-04-19 15:57:46 -04:00
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
