mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
synced 2026-01-14 06:27:45 +08:00
62 lines
3.5 KiB
Python
62 lines
3.5 KiB
Python
### :section Customization
|
|
### :title Generate text with multiple LoRA adapters
|
|
### :order 5
|
|
from huggingface_hub import snapshot_download
|
|
|
|
from tensorrt_llm import LLM
|
|
from tensorrt_llm.executor import LoRARequest
|
|
from tensorrt_llm.lora_manager import LoraConfig
|
|
|
|
|
|
def main():
|
|
|
|
# Download the LoRA adapters from huggingface hub.
|
|
lora_dir1 = snapshot_download(repo_id="snshrivas10/sft-tiny-chatbot")
|
|
lora_dir2 = snapshot_download(
|
|
repo_id="givyboy/TinyLlama-1.1B-Chat-v1.0-mental-health-conversational")
|
|
lora_dir3 = snapshot_download(repo_id="barissglc/tinyllama-tarot-v1")
|
|
|
|
# Currently, we need to pass at least one lora_dir to LLM constructor via build_config.lora_config.
|
|
# This is necessary because it requires some configuration in the lora_dir to build the engine with LoRA support.
|
|
lora_config = LoraConfig(lora_dir=[lora_dir1],
|
|
max_lora_rank=64,
|
|
max_loras=3,
|
|
max_cpu_loras=3)
|
|
llm = LLM(model="TinyLlama/TinyLlama-1.1B-Chat-v1.0",
|
|
lora_config=lora_config)
|
|
|
|
# Sample prompts
|
|
prompts = [
|
|
"Hello, tell me a story: ",
|
|
"Hello, tell me a story: ",
|
|
"I've noticed you seem a bit down lately. Is there anything you'd like to talk about?",
|
|
"I've noticed you seem a bit down lately. Is there anything you'd like to talk about?",
|
|
"In this reading, the Justice card represents a situation where",
|
|
"In this reading, the Justice card represents a situation where",
|
|
]
|
|
|
|
# At runtime, multiple LoRA adapters can be specified via lora_request; None means no LoRA used.
|
|
for output in llm.generate(prompts,
|
|
lora_request=[
|
|
None,
|
|
LoRARequest("chatbot", 1, lora_dir1), None,
|
|
LoRARequest("mental-health", 2, lora_dir2),
|
|
None,
|
|
LoRARequest("tarot", 3, lora_dir3)
|
|
]):
|
|
prompt = output.prompt
|
|
generated_text = output.outputs[0].text
|
|
print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}")
|
|
|
|
# Got output like
|
|
# Prompt: 'Hello, tell me a story: ', Generated text: '1. Start with a question: "What\'s your favorite color?" 2. Ask a question that leads to a story: "What\'s your'
|
|
# Prompt: 'Hello, tell me a story: ', Generated text: '1. A person is walking down the street. 2. A person is sitting on a bench. 3. A person is reading a book.'
|
|
# Prompt: "I've noticed you seem a bit down lately. Is there anything you'd like to talk about?", Generated text: "\n\nJASON: (smiling) No, I'm just feeling a bit overwhelmed lately. I've been trying to"
|
|
# Prompt: "I've noticed you seem a bit down lately. Is there anything you'd like to talk about?", Generated text: "\n\nJASON: (sighs) Yeah, I've been struggling with some personal issues. I've been feeling like I'm"
|
|
# Prompt: 'In this reading, the Justice card represents a situation where', Generated text: 'you are being asked to make a decision that will have a significant impact on your life. The card suggests that you should take the time to consider all the options'
|
|
# Prompt: 'In this reading, the Justice card represents a situation where', Generated text: 'you are being asked to make a decision that will have a significant impact on your life. It is important to take the time to consider all the options and make'
|
|
|
|
|
|
if __name__ == '__main__':
|
|
main()
|