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8e4ca4d14e
Signed-off-by: gnovack <gnovack@amazon.com> Co-authored-by: Jee Jee Li <pandaleefree@gmail.com>
53 lines
1.7 KiB
Python
53 lines
1.7 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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import vllm
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from vllm.lora.request import LoRARequest
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MODEL_PATH = "openai/gpt-oss-20b"
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PROMPT_TEMPLATE = "<｜begin▁of▁sentence｜>You are a helpful assistant.\n\nUser: {context}\n\nAssistant:" # noqa: E501
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def do_sample(llm: vllm.LLM, lora_path: str, lora_id: int) -> list[str]:
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prompts = [
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PROMPT_TEMPLATE.format(context="Who are you?"),
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]
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sampling_params = vllm.SamplingParams(temperature=0, max_tokens=64)
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outputs = llm.generate(
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prompts,
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sampling_params,
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lora_request=LoRARequest(str(lora_id), lora_id, lora_path) if lora_id else None,
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)
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# Print the outputs.
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generated_texts: list[str] = []
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for output in outputs:
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prompt = output.prompt
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generated_text = output.outputs[0].text.strip()
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generated_texts.append(generated_text)
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print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}")
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return generated_texts
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# FIXME: Load gpt-oss adapter
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def test_gptoss20b_lora(gptoss20b_lora_files):
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# We enable enforce_eager=True here to reduce VRAM usage for lora-test CI,
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# Otherwise, the lora-test will fail due to CUDA OOM.
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llm = vllm.LLM(
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MODEL_PATH,
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enable_lora=True,
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max_loras=4,
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trust_remote_code=True,
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)
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expected_lora_output = [
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"I am an AI language model developed by OpenAI. "
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"I am here to help you with any questions or "
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"tasks you may have."
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]
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output1 = do_sample(llm, gptoss20b_lora_files, lora_id=1)
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print(output1)
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for i in range(len(expected_lora_output)):
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assert output1[i].startswith(expected_lora_output[i])
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