mirror of
https://github.com/hwchase17/langchain
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35 lines
1.3 KiB
Python
35 lines
1.3 KiB
Python
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# flake8: noqa
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"""Test Llama.cpp wrapper."""
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import os
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from urllib.request import urlretrieve
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from langchain.llms import GPT4All
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def _download_model() -> str:
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"""Download model.
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From https://the-eye.eu/public/AI/models/nomic-ai/gpt4all/gpt4all-lora-quantized.bin,
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convert to new ggml format and return model path."""
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model_url = "https://the-eye.eu/public/AI/models/nomic-ai/gpt4all/gpt4all-lora-quantized.bin"
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tokenizer_url = "https://huggingface.co/decapoda-research/llama-7b-hf/resolve/main/tokenizer.model"
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conversion_script = "https://github.com/nomic-ai/pyllamacpp/blob/main/pyllamacpp/scripts/convert_gpt4all.py"
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local_filename = model_url.split("/")[-1]
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if not os.path.exists("convert_gpt4all.py"):
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urlretrieve(conversion_script, "convert_gpt4all.py")
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if not os.path.exists("tokenizer.model"):
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urlretrieve(tokenizer_url, "tokenizer.model")
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if not os.path.exists(local_filename):
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urlretrieve(model_url, local_filename)
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os.system(f"python convert_gpt4all.py.py . tokenizer.model")
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return local_filename
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def test_gpt4all_inference() -> None:
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"""Test valid gpt4all inference."""
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model_path = _download_model()
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llm = GPT4All(model=model_path)
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output = llm("Say foo:")
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assert isinstance(output, str)
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