mirror of
https://github.com/tloen/alpaca-lora.git
synced 2024-10-01 01:05:56 -04:00
32 lines
869 B
Python
32 lines
869 B
Python
from peft import PeftModel
|
|
from transformers import LLaMATokenizer, LLaMAForCausalLM
|
|
|
|
tokenizer = LLaMATokenizer.from_pretrained("decapoda-research/llama-7b-hf")
|
|
|
|
model = LLaMAForCausalLM.from_pretrained(
|
|
"decapoda-research/llama-7b-hf",
|
|
load_in_8bit=True,
|
|
device_map="auto",
|
|
)
|
|
model = PeftModel.from_pretrained(model, "tloen/alpaca-lora-7b")
|
|
|
|
PROMPT = """Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
|
|
|
|
### Instruction:
|
|
Write a poem about the following topic.
|
|
|
|
### Input:
|
|
Cars
|
|
|
|
### Response:"""
|
|
|
|
inputs = tokenizer(
|
|
PROMPT,
|
|
return_tensors="pt",
|
|
)
|
|
generation_output = model.generate(
|
|
**inputs, return_dict_in_generate=True, output_scores=True, max_new_tokens=128
|
|
)
|
|
for s in generation_output.sequences:
|
|
print(tokenizer.decode(s))
|