llama_cpp_for_radxa_dragon_.../examples
compilade 3fd62a6b1c
py : type-check all Python scripts with Pyright (#8341)
* py : type-check all Python scripts with Pyright

* server-tests : use trailing slash in openai base_url

* server-tests : add more type annotations

* server-tests : strip "chat" from base_url in oai_chat_completions

* server-tests : model metadata is a dict

* ci : disable pip cache in type-check workflow

The cache is not shared between branches, and it's 250MB in size,
so it would become quite a big part of the 10GB cache limit of the repo.

* py : fix new type errors from master branch

* tests : fix test-tokenizer-random.py

Apparently, gcc applies optimisations even when pre-processing,
which confuses pycparser.

* ci : only show warnings and errors in python type-check

The "information" level otherwise has entries
from 'examples/pydantic_models_to_grammar.py',
which could be confusing for someone trying to figure out what failed,
considering that these messages can safely be ignored
even though they look like errors.
2024-07-07 15:04:39 -04:00
..
baby-llama
batched
batched-bench
batched.swift
benchmark
convert-llama2c-to-ggml
cvector-generator
embedding
eval-callback
export-lora
finetune
gbnf-validator
gguf
gguf-hash
gguf-split
gritlm
imatrix
infill
jeopardy
llama-bench
llama.android
llama.swiftui
llava
lookahead
lookup
main
main-cmake-pkg
parallel
passkey
perplexity
quantize
quantize-stats
retrieval
rpc
save-load-state
server
simple
speculative
sycl
tokenize
train-text-from-scratch
base-translate.sh
chat-13B.bat
chat-13B.sh
chat-persistent.sh
chat-vicuna.sh
chat.sh
CMakeLists.txt
convert_legacy_llama.py
json_schema_pydantic_example.py
json_schema_to_grammar.py
llama.vim
llm.vim
Miku.sh
pydantic_models_to_grammar.py
pydantic_models_to_grammar_examples.py
reason-act.sh
regex_to_grammar.py
server-llama2-13B.sh
server_embd.py
ts-type-to-grammar.sh