44 lines
1.3 KiB
Python
44 lines
1.3 KiB
Python
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# SPDX-License-Identifier: Apache-2.0
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from vllm import LLM, SamplingParams
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from vllm.config import KVTransferConfig
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context = "Hi " * 1000
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context2 = "Hey " * 500
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prompts = [
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context + "Hello, my name is",
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context + "The capital of France is",
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context2 + "Your name is",
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context2 + "The capital of China is",
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]
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sampling_params = SamplingParams(temperature=0, top_p=0.95, max_tokens=1)
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llm = LLM(model="meta-llama/Llama-3.2-1B-Instruct",
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enforce_eager=True,
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gpu_memory_utilization=0.8,
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kv_transfer_config=KVTransferConfig.from_cli(
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'{"kv_connector":"SharedStorageConnector","kv_role":"kv_both", '
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'"kv_connector_extra_config": '
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'{"shared_storage_path": "local_storage"}}')
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) #, max_model_len=2048, max_num_batched_tokens=2048)
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# 1ST generation (prefill instance)
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outputs = llm.generate(
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prompts,
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sampling_params,
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)
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new_prompts = []
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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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new_prompts.append(prompt + generated_text)
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print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}")
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# Write new_prompts to output.txt
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with open("output.txt", "w") as f:
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for prompt in new_prompts:
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f.write(prompt + "\n")
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print(f"Saved {len(new_prompts)} prompts to output.txt")
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