license, datasets, pipeline_tag
| license | datasets | pipeline_tag | |
|---|---|---|---|
| apache-2.0 |
|
text-generation |
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)