mirror of
https://github.com/ggerganov/llama.cpp.git
synced 2024-09-23 13:36:20 +00:00
525213d2f5
* server: tests: init scenarios - health and slots endpoints - completion endpoint - OAI compatible chat completion requests w/ and without streaming - completion multi users scenario - multi users scenario on OAI compatible endpoint with streaming - multi users with total number of tokens to predict exceeds the KV Cache size - server wrong usage scenario, like in Infinite loop of "context shift" #3969 - slots shifting - continuous batching - embeddings endpoint - multi users embedding endpoint: Segmentation fault #5655 - OpenAI-compatible embeddings API - tokenize endpoint - CORS and api key scenario * server: CI GitHub workflow --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
22 lines
711 B
Gherkin
22 lines
711 B
Gherkin
# run with ./test.sh --tags wrong_usage
|
|
@wrong_usage
|
|
Feature: Wrong usage of llama.cpp server
|
|
|
|
#3969 The user must always set --n-predict option
|
|
# to cap the number of tokens any completion request can generate
|
|
# or pass n_predict/max_tokens in the request.
|
|
Scenario: Infinite loop
|
|
Given a server listening on localhost:8080
|
|
And a model file stories260K.gguf
|
|
# Uncomment below to fix the issue
|
|
#And 64 server max tokens to predict
|
|
Then the server is starting
|
|
Given a prompt:
|
|
"""
|
|
Go to: infinite loop
|
|
"""
|
|
# Uncomment below to fix the issue
|
|
#And 128 max tokens to predict
|
|
Given concurrent completion requests
|
|
Then all prompts are predicted
|