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example.py
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29 lines (25 loc) · 785 Bytes
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import os
from nanovllm import LLM, SamplingParams
from transformers import AutoTokenizer
path = os.path.expanduser("~/huggingface/Qwen3-0.6B/")
tokenizer = AutoTokenizer.from_pretrained(path)
llm = LLM(path, enforce_eager=True)
sampling_params = SamplingParams(temperature=0.6, max_tokens=256)
prompts = [
"introduce yourself",
"list all prime numbers within 100",
]
prompts = [
tokenizer.apply_chat_template(
[{"role": "user", "content": prompt}],
tokenize=False,
add_generation_prompt=True,
enable_thinking=True
)
for prompt in prompts
]
outputs = llm.generate(prompts, sampling_params)
for prompt, output in zip(prompts, outputs):
print("\n")
print(f"Prompt: {prompt!r}")
print(f"Completion: {output['text']!r}")