CyberAgentLM2-7B-Chat (CALM2-7B-Chat)
Model Description
CyberAgentLM2-Chat is a fine-tuned model of CyberAgentLM2 for dialogue use cases.
Requirements
- transformers >= 4.34.1
- accelerate
Usage
import transformers
from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
assert transformers.__version__ >= "4.34.1"
model = AutoModelForCausalLM.from_pretrained("cyberagent/calm2-7b-chat", device_map="auto", torch_dtype="auto")
tokenizer = AutoTokenizer.from_pretrained("cyberagent/calm2-7b-chat")
streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)
prompt = """USER: AIによって私達の暮らしはどのように変わりますか？
ASSISTANT: """
token_ids = tokenizer.encode(prompt, return_tensors="pt")
output_ids = model.generate(
input_ids=token_ids.to(model.device),
max_new_tokens=300,
do_sample=True,
temperature=0.8,
streamer=streamer,
)
Chat Template
USER: {user_message1}
ASSISTANT: {assistant_message1}<|endoftext|>
USER: {user_message2}
ASSISTANT: {assistant_message2}<|endoftext|>
USER: {user_message3}
ASSISTANT: {assistant_message3}<|endoftext|>
Model Details
- Model size: 7B
- Context length: 32768
- Model type: Transformer-based Language Model
- Language(s): Japanese, English
- Developed by: CyberAgent, Inc.
- License: Apache-2.0
Author
Citations
@article{touvron2023llama,
title={LLaMA: Open and Efficient Foundation Language Models},
author={Touvron, Hugo and Lavril, Thibaut and Izacard, Gautier and Martinet, Xavier and Lachaux, Marie-Anne and Lacroix, Timoth{\'e}e and Rozi{\`e}re, Baptiste and Goyal, Naman and Hambro, Eric and Azhar, Faisal and Rodriguez, Aurelien and Joulin, Armand and Grave, Edouard and Lample, Guillaume},
journal={arXiv preprint arXiv:2302.13971},
year={2023}
}