README.md

metadata

license: apache-2.0

Dataset

Japanese subset of the mC4 dataset

Training

Trained for 3000 steps on top of the MPT 7b checkpoint mosaicml/mpt-7b

How to load

Before running this model, please install the following pip package:

pip install einops

To run this model, you may need to load it in a lower precision in order for it to fit onto your GPU. We found for a T4 GPU, it requires loading the model in 8-bit precision. To load the model in 8-bit, please install the following pip packages:

pip install bitsandbytes accelerate

Caution - you will also need enough RAM to load the model. We estimate loading this model requires ~30GB.

Auto type

from transformers import AutoModelForCausalLM

model_name = "lightblue/japanese-mpt-7b"
model = AutoModelForCausalLM.from_pretrained(
    model_name,
    torch_dtype='auto',
    trust_remote_code=True
)

In 8 bit

from transformers import AutoModelForCausalLM

model_name = "lightblue/japanese-mpt-7b"
model = AutoModelForCausalLM.from_pretrained(
    model_name,
    torch_dtype='auto',
    load_in_8bit=True,
    trust_remote_code=True
)

How to use

from transformers import AutoTokenizer, pipeline

tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)

pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)

pipe("こんにちは", temperature=0, do_sample=False, return_full_text=False, max_new_tokens=32)