---
language:
- ja
- en
license: other
license_link: LICENSE
---

# Sarashina2-8x70B

This repository provides large language models trained by [SB Intuitions](https://www.sbintuitions.co.jp/).


## Required Hardware
BF16 Inference:
- 16x H100
- 16x A100 80GB


## Model Description

We constructed this Sarashina2-8x70B model, which consists of over 450 billion parameters, by applying the [sparse upcycling technique](https://arxiv.org/abs/2212.05055) to our [Sarashina2-70B](https://huggingface.co/sbintuitions/sarashina2-70b) model to efficiently build the Mixture-of-Experts model.
We trained the Sarashina2-8x70B model using a mix of Japanese and English corpora from web data.


## Tokenization

We use a [sentencepiece](https://github.com/google/sentencepiece) tokenizer with a unigram language model and byte-fallback.
We do not apply pre-tokenization with Japanese tokenizer.
Thus, a user may directly feed raw sentences into the tokenizer.


## Ethical Considerations and Limitations
Sarashina2 has not been tuned to follow an instruction yet.
Therefore, sarashina2 might generate some meaningless sequences, some inaccurate instances or biased/objectionable outputs.
Before using sarashina2, we would like developers to tune models based on human preferences and safety considerations.

## License

[Sarashina Model NonCommercial License Agreement](https://huggingface.co/sbintuitions/sarashina2-8x70B/blob/main/Sarashina%20Model%20NonCommercial%20License%20Agreement)