🚀 OpenCALM-3B
OpenCALM is a suite of decoder-only language models pre-trained on Japanese datasets. It's developed by CyberAgent, Inc., aiming to provide high - quality language processing capabilities for Japanese text.
🚀 Quick Start
💻 Usage Examples
Basic Usage
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("cyberagent/open-calm-3b", device_map="auto", torch_dtype=torch.float16)
tokenizer = AutoTokenizer.from_pretrained("cyberagent/open-calm-3b")
inputs = tokenizer("AIによって私達の暮らしは、", return_tensors="pt").to(model.device)
with torch.no_grad():
tokens = model.generate(
**inputs,
max_new_tokens=64,
do_sample=True,
temperature=0.7,
top_p=0.9,
repetition_penalty=1.05,
pad_token_id=tokenizer.pad_token_id,
)
output = tokenizer.decode(tokens[0], skip_special_tokens=True)
print(output)
📚 Documentation
🔧 Technical Details
📄 License
- Developed by: CyberAgent, Inc.
- Model type: Transformer-based Language Model
- Language: Japanese
- Library: GPT-NeoX
- License: OpenCALM is licensed under the Creative Commons Attribution - ShareAlike 4.0 International License (CC BY - SA 4.0). When using this model, please provide appropriate credit to CyberAgent, Inc.
- Example (en): This model is a fine - tuned version of OpenCALM-XX developed by CyberAgent, Inc. The original model is released under the CC BY - SA 4.0 license, and this model is also released under the same CC BY - SA 4.0 license. For more information, please visit: https://creativecommons.org/licenses/by-sa/4.0/
- Example (ja): 本モデルは、株式会社サイバーエージェントによるOpenCALM-XXをファインチューニングしたものです。元のモデルはCC BY - SA 4.0ライセンスのもとで公開されており、本モデルも同じくCC BY - SA 4.0ライセンスで公開します。詳しくはこちらをご覧ください: https://creativecommons.org/licenses/by-sa/4.0/
📦 Training Dataset
- Wikipedia (ja)
- Common Crawl (ja)
👨💻 Author
Ryosuke Ishigami
📖 Citations
@software{gpt-neox-library,
title = {{GPT-NeoX: Large Scale Autoregressive Language Modeling in PyTorch}},
author = {Andonian, Alex and Anthony, Quentin and Biderman, Stella and Black, Sid and Gali, Preetham and Gao, Leo and Hallahan, Eric and Levy-Kramer, Josh and Leahy, Connor and Nestler, Lucas and Parker, Kip and Pieler, Michael and Purohit, Shivanshu and Songz, Tri and Phil, Wang and Weinbach, Samuel},
url = {https://www.github.com/eleutherai/gpt-neox},
doi = {10.5281/zenodo.5879544},
month = {8},
year = {2021},
version = {0.0.1},
}