Refer to the original model for all details w.r.t. to the model. For more info on loading 8bit models, refer to the example repo and/or the 4.28.0 release info.

total model size is only ~12.5 GB!
this enables low-RAM loading, i.e. Colab :)
update: generation speed can be greatly improved by setting use_cache=True and generating via contrastive search. example notenook here

Basic Usage

install/upgrade transformers, accelerate, and bitsandbytes. For this to work you must have transformers>=4.28.0 and bitsandbytes>0.37.2.

pip install -U -q transformers bitsandbytes accelerate

Load the model. As it is serialized in 8bit you don't need to do anything special:

python

from transformers import AutoTokenizer, AutoModelForCausalLM

model_name = "ethzanalytics/dolly-v2-12b-sharded-8bit"
tokenizer = AutoTokenizer.from_pretrained(model_name)

model = AutoModelForCausalLM.from_pretrained(model_name)