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29 lines
862 B
Python
29 lines
862 B
Python
import os
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from pathlib import Path
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from tensorrt_llm import SamplingParams
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from tensorrt_llm._tensorrt_engine import LLM
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if __name__ == '__main__':
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prompts = [
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"Hello, my name is",
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"The president of the United States is",
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"The capital of France is",
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"The future of AI is",
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]
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sampling_params = SamplingParams(temperature=0.8, top_p=0.95)
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model_path = Path(os.environ.get(
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"LLM_MODELS_ROOT")) / "llama-models-v2/TinyLlama-1.1B-Chat-v1.0"
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print(f'model_path: {model_path}')
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with LLM(model=str(model_path)) as llm:
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outputs = llm.generate(prompts, sampling_params)
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# Print the outputs.
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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
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print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}")
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