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Fixed Plugin Test #70

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Fixed Plugin Test #70

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50 changes: 27 additions & 23 deletions examples/test_plugin.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2,28 +2,32 @@

from vllm import LLM, SamplingParams

os.environ["VLLM_SKIP_WARMUP"] = "true"
prompts = [
"Hello, my name is",
"0.999 compares to 0.9 is ",
"The capital of France is",
"The future of AI is",
]
sampling_params = SamplingParams(temperature=0, max_tokens=50)
model = "/mnt/weka/llm/Qwen3/Qwen3-30B-A3B/"
# model = "/mnt/weka/llm/Qwen3/Qwen3-32B/"
# model = "meta-llama/Llama-3.2-1B-Instruct"
# model = "/mnt/weka/llm/DeepSeek-V2-Lite-Chat/"
# model = "/mnt/weka/data/mlperf_models/Mixtral-8x7B-Instruct-v0.1"
# model = "/mnt/weka/data/pytorch/llama3.1/Meta-Llama-3.1-8B/"
kwargs = {"tensor_parallel_size": 1}
if os.path.basename(model) in ["Qwen3-30B-A3B", "DeepSeek-V2-Lite-Chat"]:
kwargs["enable_expert_parallel"] = True
llm = LLM(model=model, max_model_len=4096, trust_remote_code=True, **kwargs)
def main():
os.environ["VLLM_SKIP_WARMUP"] = "true"
prompts = [
"Hello, my name is",
"0.999 compares to 0.9 is ",
"The capital of France is",
"The future of AI is",
]
sampling_params = SamplingParams(temperature=0, max_tokens=50)
model = "/mnt/weka/llm/Qwen3/Qwen3-30B-A3B/"
# model = "/mnt/weka/llm/Qwen3/Qwen3-32B/"
# model = "meta-llama/Llama-3.2-1B-Instruct"
# model = "/mnt/weka/llm/DeepSeek-V2-Lite-Chat/"
# model = "/mnt/weka/data/mlperf_models/Mixtral-8x7B-Instruct-v0.1"
# model = "/mnt/weka/data/pytorch/llama3.1/Meta-Llama-3.1-8B/"
kwargs = {"tensor_parallel_size": 2}
if os.path.basename(model) in ["Qwen3-30B-A3B", "DeepSeek-V2-Lite-Chat"]:
kwargs["enable_expert_parallel"] = True
llm = LLM(model=model, max_model_len=4096, trust_remote_code=True, **kwargs)

outputs = llm.generate(prompts, sampling_params)
outputs = llm.generate(prompts, sampling_params)

for output in outputs:
prompt = output.prompt
generated_text = output.outputs[0].text
print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}")
for output in outputs:
prompt = output.prompt
generated_text = output.outputs[0].text
print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}")

if __name__ == "__main__":
main()