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70 lines
2.0 KiB
70 lines
2.0 KiB
import pytest
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from transformers import AutoModelForCausalLM, AutoTokenizer
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from swarms.models.mpt import MPT7B
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def test_mpt7b_init():
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mpt = MPT7B(
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"mosaicml/mpt-7b-storywriter", "EleutherAI/gpt-neox-20b", max_tokens=150
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)
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assert isinstance(mpt, MPT7B)
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assert mpt.model_name == "mosaicml/mpt-7b-storywriter"
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assert mpt.tokenizer_name == "EleutherAI/gpt-neox-20b"
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assert isinstance(mpt.tokenizer, AutoTokenizer)
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assert isinstance(mpt.model, AutoModelForCausalLM)
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assert mpt.max_tokens == 150
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def test_mpt7b_run():
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mpt = MPT7B(
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"mosaicml/mpt-7b-storywriter", "EleutherAI/gpt-neox-20b", max_tokens=150
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)
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output = mpt.run("generate", "Once upon a time in a land far, far away...")
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assert isinstance(output, str)
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assert output.startswith("Once upon a time in a land far, far away...")
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def test_mpt7b_run_invalid_task():
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mpt = MPT7B(
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"mosaicml/mpt-7b-storywriter", "EleutherAI/gpt-neox-20b", max_tokens=150
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)
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with pytest.raises(ValueError):
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mpt.run("invalid_task", "Once upon a time in a land far, far away...")
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def test_mpt7b_generate():
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mpt = MPT7B(
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"mosaicml/mpt-7b-storywriter", "EleutherAI/gpt-neox-20b", max_tokens=150
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)
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output = mpt.generate("Once upon a time in a land far, far away...")
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assert isinstance(output, str)
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assert output.startswith("Once upon a time in a land far, far away...")
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def test_mpt7b_batch_generate():
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mpt = MPT7B(
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"mosaicml/mpt-7b-storywriter", "EleutherAI/gpt-neox-20b", max_tokens=150
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)
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prompts = ["In the deep jungles,", "At the heart of the city,"]
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outputs = mpt.batch_generate(prompts, temperature=0.7)
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assert isinstance(outputs, list)
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assert len(outputs) == len(prompts)
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for output in outputs:
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assert isinstance(output, str)
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def test_mpt7b_unfreeze_model():
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mpt = MPT7B(
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"mosaicml/mpt-7b-storywriter", "EleutherAI/gpt-neox-20b", max_tokens=150
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)
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mpt.unfreeze_model()
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for param in mpt.model.parameters():
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assert param.requires_grad
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