LLM Examples Introduction

Here is a simple example to show how to use the LLM with TinyLlama.

 1from tensorrt_llm import LLM, SamplingParams
 2
 3
 4def main():
 5
 6    prompts = [
 7        "Hello, my name is",
 8        "The president of the United States is",
 9        "The capital of France is",
10        "The future of AI is",
11    ]
12    sampling_params = SamplingParams(temperature=0.8, top_p=0.95)
13
14    llm = LLM(model="TinyLlama/TinyLlama-1.1B-Chat-v1.0")
15
16    outputs = llm.generate(prompts, sampling_params)
17
18    # Print the outputs.
19    for output in outputs:
20        prompt = output.prompt
21        generated_text = output.outputs[0].text
22        print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}")
23
24
25# The entry point of the program need to be protected for spawning processes.
26if __name__ == '__main__':
27    main()

The LLM API can be used for both offline or online usage. See more examples of the LLM API here:

LLM API Examples

For more details on how to fully utilize this API, check out: