README.md

---
thumbnail: https://github.com/rinnakk/japanese-pretrained-models/blob/master/rinna.png
language:
- ja
- en
tags:
- qwen
inference: false
license: other
license_name: tongyi-qianwen-license-agreement
license_link: >-
  https://github.com/QwenLM/Qwen/blob/main/Tongyi%20Qianwen%20LICENSE%20AGREEMENT
pipeline_tag: text-generation
base_model: rinna/nekomata-7b
base_model_relation: quantized
---

# `rinna/nekomata-7b-gguf`

![rinna-icon](./rinna.png)

# Overview
The model is the GGUF version of [`rinna/nekomata-7b`](https://huggingface.co./rinna/nekomata-7b). It can be used with [llama.cpp](https://github.com/ggerganov/llama.cpp) for lightweight inference.

Quantization of this model may cause stability issue in GPTQ, AWQ and GGUF q4_0. We recommend **GGUF q4_K_M** for 4-bit quantization.

See [`rinna/nekomata-7b`](https://huggingface.co./rinna/nekomata-7b) for details about model architecture and data.

* **Contributors**

    - [Toshiaki Wakatsuki](https://huggingface.co./t-w)
    - [Tianyu Zhao](https://huggingface.co./tianyuz)
    - [Kei Sawada](https://huggingface.co./keisawada)
    
---

# How to use the model

See [llama.cpp](https://github.com/ggerganov/llama.cpp) for more usage details.

~~~~bash
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp
make

MODEL_PATH=/path/to/nekomata-7b-gguf/nekomata-7b.Q4_K_M.gguf
MAX_N_TOKENS=128
PROMPT="西田幾多郎は、"

./main -m ${MODEL_PATH} -n ${MAX_N_TOKENS} -p "${PROMPT}"
~~~~

---

# Tokenization
Please refer to [`rinna/nekomata-7b`](https://huggingface.co./rinna/nekomata-7b) for tokenization details.

---

# How to cite
```bibtex
@misc{rinna-nekomata-7b-gguf,
    title = {rinna/nekomata-7b-gguf},
    author = {Wakatsuki, Toshiaki and Zhao, Tianyu and Sawada, Kei},
    url = {https://huggingface.co./rinna/nekomata-7b-gguf}
}

@inproceedings{sawada2024release,
    title = {Release of Pre-Trained Models for the {J}apanese Language},
    author = {Sawada, Kei and Zhao, Tianyu and Shing, Makoto and Mitsui, Kentaro and Kaga, Akio and Hono, Yukiya and Wakatsuki, Toshiaki and Mitsuda, Koh},
    booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)},
    month = {5},
    year = {2024},
    pages = {13898--13905},
    url = {https://aclanthology.org/2024.lrec-main.1213},
    note = {\url{https://arxiv.org/abs/2404.01657}}
}
```
---

# License
[Tongyi Qianwen LICENSE AGREEMENT](https://github.com/QwenLM/Qwen/blob/main/Tongyi%20Qianwen%20LICENSE%20AGREEMENT)