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| 1 | +# SPDX-License-Identifier: Apache-2.0 |
| 2 | +# SPDX-FileCopyrightText: Copyright contributors to the vLLM project |
| 3 | + |
| 4 | +from vllm import LLM, SamplingParams |
| 5 | + |
| 6 | +# Sample prompts. |
| 7 | +prompts = [ |
| 8 | + "Hello, my name is", |
| 9 | + "The president of the United States is", |
| 10 | + "The capital of France is", |
| 11 | + "The future of AI is", |
| 12 | +] |
| 13 | +# Create a sampling params object. |
| 14 | +sampling_params = SamplingParams(temperature=0.8, top_p=0.95) |
| 15 | + |
| 16 | + |
| 17 | +def main(): |
| 18 | + # Create an LLM with EPLB parameters. |
| 19 | + llm = LLM( |
| 20 | + model="/fp8-llama/llama4scout-fp8/", |
| 21 | + tensor_parallel_size=8, |
| 22 | + enable_expert_parallel=True, |
| 23 | + enable_eplb=True, |
| 24 | + num_redundant_experts=16, |
| 25 | + eplb_window_size=1000, |
| 26 | + eplb_step_interval=3000, |
| 27 | + trust_remote_code=True, |
| 28 | + enforce_eager=True, |
| 29 | + ) |
| 30 | + # Generate texts from the prompts. |
| 31 | + # The output is a list of RequestOutput objects |
| 32 | + # that contain the prompt, generated text, and other information. |
| 33 | + outputs = llm.generate(prompts, sampling_params) |
| 34 | + # Print the outputs. |
| 35 | + print("\nGenerated Outputs:\n" + "-" * 60) |
| 36 | + for output in outputs: |
| 37 | + prompt = output.prompt |
| 38 | + generated_text = output.outputs[0].text |
| 39 | + print(f"Prompt: {prompt!r}") |
| 40 | + print(f"Output: {generated_text!r}") |
| 41 | + print("-" * 60) |
| 42 | + |
| 43 | + |
| 44 | +if __name__ == "__main__": |
| 45 | + main() |
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