37 lines
1.1 KiB
Python
37 lines
1.1 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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# Read prompts from output.txt
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prompts = []
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try:
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with open("output.txt") as f:
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for line in f:
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prompts.append(line.strip())
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print(f"Loaded {len(prompts)} prompts from output.txt")
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except FileNotFoundError:
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print("Error: output.txt file not found")
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exit(-1)
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sampling_params = SamplingParams(temperature=0, top_p=0.95, max_tokens=10)
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llm = LLM(
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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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max_num_batched_tokens=64,
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max_num_seqs=16,
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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": {"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(prompts, sampling_params)
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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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