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lxaw/
70_percent_model

Name: 70_percent_model
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70_percent_model

LoRA-finetuned Llama-400M model

Model Details

This model is a LoRA-finetuned version of YongganFu/Llama-400M-12L.

Usage

python

from transformers import AutoTokenizer, AutoModelForCausalLM

model_name = "lxaw/70_percent_model"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

# Example usage
input_text = "What is the capital of France?"
inputs = tokenizer(input_text, return_tensors="pt")
outputs = model.generate(inputs.input_ids, max_length=50)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

Example Output

Input: What is the capital of France?

Output: What is the capital of France?

The capital of France is Paris, which is located in the country of France. The capital is the largest city in France and is known for its beautiful architecture, delicious food, and friendly people.