Generate text with customization#

Source NVIDIA/TensorRT-LLM.

 1### Generate text with customization
 2import tempfile
 3
 4from tensorrt_llm._tensorrt_engine import LLM
 5from tensorrt_llm.llmapi import BuildConfig, KvCacheConfig, SamplingParams
 6
 7
 8def main():
 9    # The end user can customize the build configuration with the build_config class and other arguments borrowed from the lower-level APIs
10    build_config = BuildConfig()
11    build_config.max_batch_size = 128
12    build_config.max_num_tokens = 2048
13
14    build_config.max_beam_width = 4
15
16    # Model could accept HF model name or a path to local HF model.
17
18    llm = LLM(
19        model="TinyLlama/TinyLlama-1.1B-Chat-v1.0",
20        build_config=build_config,
21        kv_cache_config=KvCacheConfig(
22            free_gpu_memory_fraction=0.8
23        ),  # Similar to `build_config`, you can also customize the runtime configuration with the `kv_cache_config`, `runtime_config`, `peft_cache_config` or \
24        # other arguments borrowed from the lower-level APIs.
25    )
26
27    # You can save the engine to disk and load it back later, the LLM class can accept either a HF model or a TRT-LLM engine.
28    llm.save(tempfile.mkdtemp())
29
30    # Sample prompts.
31    prompts = [
32        "Hello, my name is",
33        "The president of the United States is",
34        "The capital of France is",
35        "The future of AI is",
36    ]
37
38    # With SamplingParams, you can customize the sampling strategy, such as beam search, temperature, and so on.
39    sampling_params = SamplingParams(temperature=0.8,
40                                     top_p=0.95,
41                                     n=4,
42                                     use_beam_search=True)
43
44    for output in llm.generate(prompts, sampling_params):
45        print(
46            f"Prompt: {output.prompt!r}, Generated text: {output.outputs[0].text!r}"
47        )
48
49    # Got output like
50    # Prompt: 'Hello, my name is', Generated text: '\n\nJane Smith. I am a student pursuing my degree in Computer Science at [university]. I enjoy learning new things, especially technology and programming'
51    # Prompt: 'The president of the United States is', Generated text: 'likely to nominate a new Supreme Court justice to fill the seat vacated by the death of Antonin Scalia. The Senate should vote to confirm the'
52    # Prompt: 'The capital of France is', Generated text: 'Paris.'
53    # Prompt: 'The future of AI is', Generated text: 'an exciting time for us. We are constantly researching, developing, and improving our platform to create the most advanced and efficient model available. We are'
54
55
56if __name__ == '__main__':
57    main()