guardrail/llama-2-7b-guanaco-instruct-sharded

Model that is fine-tuned in 4-bit precision using QLoRA on timdettmers/openassistant-guanaco and sharded to be used on a free Google Colab instance that can be loaded with 4bits.

It can be easily imported using the AutoModelForCausalLM class from transformers:

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained(
          "guardrail/llama-2-7b-guanaco-instruct-sharded",
          load_in_4bit=True)
tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)