forked from Archives/langchain
0a9f04bad9
Co-authored-by: William FH <13333726+hinthornw@users.noreply.github.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
35 lines
1.3 KiB
Python
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)
|