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cyberagent
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open-calm-large

Text Generation
Transformers
PyTorch
Japanese
gpt_neox
japanese
causal-lm
text-generation-inference
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metadata
license: cc-by-sa-4.0
datasets:
  - wikipedia
  - cc100
  - mc4
language:
  - ja
tags:
  - japanese
  - causal-lm
inference: false

OpenCALM-Large

Model Description

OpenCALM is a suite of decoder-only language models pre-trained on Japanese datasets, developed by CyberAgent, Inc.

Usage 

import torch
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("cyberagent/open-calm-large", device_map="auto", torch_dtype=torch.float16)
tokenizer = AutoTokenizer.from_pretrained("cyberagent/open-calm-large")

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)

Model Details

Model Params Layers Dim Heads Dev ppl
cyberagent/open-calm-small 160M 12 768 12 19.7
cyberagent/open-calm-medium 400M 24 1024 16 13.8
cyberagent/open-calm-large 830M 24 1536 16 11.3
cyberagent/open-calm-1b 1.4B 24 2048 16 10.3
cyberagent/open-calm-3b 2.7B 32 2560 32 9.7
cyberagent/open-calm-7b 6.8B 32 4096 32 8.2
  • 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},
}

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 25.24
ARC (25-shot) 20.73
HellaSwag (10-shot) 29.56
MMLU (5-shot) 25.23
TruthfulQA (0-shot) 46.52
Winogrande (5-shot) 51.14
GSM8K (5-shot) 0.08
DROP (3-shot) 3.42