README.md

---
license: apache-2.0
datasets:
- SkelterLabsInc/JaQuAD
language:
- ja
---

MambaSan-370m-instruct 🐍

MambaSan-instruct is the first chat Japanese language model based on a state-space model architecture (Mamba).

The model is based on Albert Gu's and Tri Dao's work Mamba: Linear-Time Sequence Modeling with Selective State Spaces (paper) as well as their model implementation. This work was also inspired by heavenq's mamba-chat implementation in English.

Mamba-Chat is based on MambaSan-370m and was fine-tuned on 31,7k examples samples of the SkelterLabsInc/JaQuAD dataset. To learn more, you can:

- Take a look at the model on [Huggingface](https://huggingface.co/loiccabannes/MambaSan-370m-instruct) 🤗
- Talk to Mamba-Chat on [Google Colab](https://colab.research.google.com/drive/1ZqHOC_RHU8ilAKreUMc_WNbo_melmNJX?usp=sharing)

The Code used for pretraining and finetuning will soon be published on my github: https://github.com/lcabannes
Citation

bibtex
@misc{lcabannes2024MambaSan-370m-instruct,
  title        = {MambaSan-370m-instruct},
  author       = {Loïc Cabannes},
  year         = {2024},
  howpublished = {HuggingFace},
  url          = {https://huggingface.co/loiccabannes/MambaSan-370m-instruct/}
}