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# Add C Transformers for GGML Models I created Python bindings for the GGML models: https://github.com/marella/ctransformers Currently it supports GPT-2, GPT-J, GPT-NeoX, LLaMA, MPT, etc. See [Supported Models](https://github.com/marella/ctransformers#supported-models). It provides a unified interface for all models: ```python from langchain.llms import CTransformers llm = CTransformers(model='/path/to/ggml-gpt-2.bin', model_type='gpt2') print(llm('AI is going to')) ``` It can be used with models hosted on the Hugging Face Hub: ```py llm = CTransformers(model='marella/gpt-2-ggml') ``` It supports streaming: ```py from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler llm = CTransformers(model='marella/gpt-2-ggml', callbacks=[StreamingStdOutCallbackHandler()]) ``` Please see [README](https://github.com/marella/ctransformers#readme) for more details. --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
22 lines
617 B
Python
22 lines
617 B
Python
"""Test C Transformers wrapper."""
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from langchain.llms import CTransformers
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from tests.unit_tests.callbacks.fake_callback_handler import FakeCallbackHandler
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def test_ctransformers_call() -> None:
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"""Test valid call to C Transformers."""
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config = {"max_new_tokens": 5}
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callback_handler = FakeCallbackHandler()
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llm = CTransformers(
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model="marella/gpt-2-ggml",
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config=config,
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callbacks=[callback_handler],
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)
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output = llm("Say foo:")
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assert isinstance(output, str)
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assert len(output) > 1
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assert 0 < callback_handler.llm_streams <= config["max_new_tokens"]
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