llama.cpp/examples/server/tests/unit/test_lora.py

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import pytest
import os
from utils import *
server = ServerPreset.stories15m_moe()
LORA_FILE_URL = "https://huggingface.co/ggml-org/stories15M_MOE/resolve/main/moe_shakespeare15M.gguf"
@pytest.fixture(scope="module", autouse=True)
def create_server():
global server
server = ServerPreset.stories15m_moe()
# download lora file if needed
file_name = LORA_FILE_URL.split('/').pop()
lora_file = f'../../../{file_name}'
if not os.path.exists(lora_file):
print(f"Downloading {LORA_FILE_URL} to {lora_file}")
with open(lora_file, 'wb') as f:
f.write(requests.get(LORA_FILE_URL).content)
print(f"Done downloading lora file")
server.lora_files = [lora_file]
@pytest.mark.parametrize("scale,re_content", [
# without applying lora, the model should behave like a bedtime story generator
(0.0, "(little|girl|three|years|old)+"),
# with lora, the model should behave like a Shakespearean text generator
(1.0, "(eye|love|glass|sun)+"),
])
def test_lora(scale: float, re_content: str):
global server
server.start()
res_lora_control = server.make_request("POST", "/lora-adapters", data=[
{"id": 0, "scale": scale}
])
assert res_lora_control.status_code == 200
res = server.make_request("POST", "/completion", data={
"prompt": "Look in thy glass",
})
assert res.status_code == 200
assert match_regex(re_content, res.body["content"])