langchain/tests/integration_tests/llms/test_gpt4all.py
Harrison Chase 0a9f04bad9
Harrison/gpt4all (#2366)
Co-authored-by: William FH <13333726+hinthornw@users.noreply.github.com>
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
2023-04-04 06:49:17 -07:00

35 lines
1.3 KiB
Python

# flake8: noqa
"""Test Llama.cpp wrapper."""
import os
from urllib.request import urlretrieve
from langchain.llms import GPT4All
def _download_model() -> str:
"""Download model.
From https://the-eye.eu/public/AI/models/nomic-ai/gpt4all/gpt4all-lora-quantized.bin,
convert to new ggml format and return model path."""
model_url = "https://the-eye.eu/public/AI/models/nomic-ai/gpt4all/gpt4all-lora-quantized.bin"
tokenizer_url = "https://huggingface.co/decapoda-research/llama-7b-hf/resolve/main/tokenizer.model"
conversion_script = "https://github.com/nomic-ai/pyllamacpp/blob/main/pyllamacpp/scripts/convert_gpt4all.py"
local_filename = model_url.split("/")[-1]
if not os.path.exists("convert_gpt4all.py"):
urlretrieve(conversion_script, "convert_gpt4all.py")
if not os.path.exists("tokenizer.model"):
urlretrieve(tokenizer_url, "tokenizer.model")
if not os.path.exists(local_filename):
urlretrieve(model_url, local_filename)
os.system(f"python convert_gpt4all.py.py . tokenizer.model")
return local_filename
def test_gpt4all_inference() -> None:
"""Test valid gpt4all inference."""
model_path = _download_model()
llm = GPT4All(model=model_path)
output = llm("Say foo:")
assert isinstance(output, str)