japanese-stablelm-instruct-alpha-7b-v2
is a 7B parameter decoder-only language models pre-trained built on top of the
Japanese-StableLM-Base-Alpha-7B
model and further fine-tuned on various instruction-following datasets.
This model is intended to be used by the open-source community in chat-like applications in adherence with
Apache-2.0 license
.
Limitations and bias
Although the aforementioned datasets help to steer the base language models into "safer" distributions of text, not all biases and toxicity can be mitigated through fine-tuning. We ask that users be mindful of such potential issues that can arise in generated responses. Do not treat model outputs as substitutes for human judgment or as sources of truth. Please use responsibly.
We are utilizing the v1 version of the
novelai-tokenizer
, introduced by
NovelAI
, because it processes both Japanese and English text both effectively and efficiently. We extend our gratitude to NovelAI for allowing us to use their remarkable work. For more details about the tokenizer, please refer to their
blog post
.
We are grateful for the contributions of the EleutherAI Polyglot-JA team in helping us to collect a large amount of pre-training data in Japanese. Polyglot-JA members includes Hyunwoong Ko (Project Lead), Fujiki Nakamura (originally started this project when he committed to the Polyglot team), Yunho Mo, Minji Jung, KeunSeok Im, and Su-Kyeong Jang.
@misc{JapaneseStableLMInstructAlpha7Bv2,
url={[https://huggingface.co/stabilityai/japanese-stablelm-instruct-alpha-7b-v2](https://huggingface.co/stabilityai/japanese-stablelm-instruct-alpha-7b-v2)},
title={Japanese StableLM Instruct Alpha 7B v2},
author={Lee, Meng and Nakamura, Fujiki and Shing, Makoto and McCann, Paul and Akiba, Takuya and Orii, Naoki}
}
Citations
@misc{alpaca,
author = {Rohan Taori and Ishaan Gulrajani and Tianyi Zhang and Yann Dubois and Xuechen Li and Carlos Guestrin and Percy Liang and Tatsunori B. Hashimoto },
title = {Stanford Alpaca: An Instruction-following LLaMA model},
year = {2023},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/tatsu-lab/stanford_alpaca}},
}
@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},
}
Runs of stabilityai japanese-stablelm-instruct-alpha-7b-v2 on huggingface.co
220
Total runs
7
24-hour runs
35
3-day runs
27
7-day runs
-106
30-day runs
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