Usage

from peft import PeftModel, PeftConfig
from transformers import AutoModelForCausalLM

config = PeftConfig.from_pretrained("mwitiderrick/zephyr-7b-beta-gsm8k")
model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/zephyr-7b-beta")
model = PeftModel.from_pretrained(model, "mwitiderrick/zephyr-7b-beta-gsm8k")

prompt = "James decides to run 3 sprints 3 times a week. He runs 60 meters each sprint. How many total meters does he run a week?"
pipe = pipeline(task="text-generation", model=model, tokenizer=tokenizer, max_length=200)
result = pipe(f"<s>[INST] {prompt} [/INST]")
print(result[0]['generated_text'])

"""
<s>[INST] Claire makes a 3 egg omelet every morning for breakfast. How many dozens of eggs will she eat in 4 weeks? [/INST]  She eats 3*7=<<3*7=21>>21 eggs a week
So she eats 21*4=<<21*4=84>>84 eggs in 4 weeks
That means she eats 84/12=<<84/12=7>>7 dozen eggs
"""

Training procedure

The following bitsandbytes quantization config was used during training:

The following bitsandbytes quantization config was used during training:

Framework versions