mirror of
https://github.com/tloen/alpaca-lora.git
synced 2024-10-01 01:05:56 -04:00
41 lines
1.0 KiB
Python
41 lines
1.0 KiB
Python
from peft import PeftModel
|
|
from transformers import LLaMATokenizer, LLaMAForCausalLM, GenerationConfig
|
|
|
|
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. Write a response that appropriately completes the request.
|
|
|
|
### Instruction:
|
|
Tell me something about alpacas.
|
|
|
|
### Response:"""
|
|
|
|
inputs = tokenizer(
|
|
PROMPT,
|
|
return_tensors="pt",
|
|
)
|
|
input_ids = inputs["input_ids"].cuda()
|
|
|
|
generation_config = GenerationConfig(
|
|
temperature=0.6,
|
|
top_p=0.95,
|
|
repetition_penalty=1.15,
|
|
)
|
|
print("Generating...")
|
|
generation_output = model.generate(
|
|
input_ids=input_ids,
|
|
generation_config=generation_config,
|
|
return_dict_in_generate=True,
|
|
output_scores=True,
|
|
max_new_tokens=128,
|
|
)
|
|
for s in generation_output.sequences:
|
|
print(tokenizer.decode(s))
|