metadata
thumbnail: https://github.com/rinnakk/japanese-pretrained-models/blob/master/rinna.png
language:
- ja
- en
tags:
- qwen
inference: false
rinna/nekomata-7b-gguf
Overview
The model is the GGUF version of rinna/nekomata-7b. It can be used with 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 for details about model architecture and data.
Authors
How to use the model
See llama.cpp for more usage details.
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 for tokenization details.
How to cite
@misc{RinnaNekomata7bGGUF,
url={https://huggingface.co/rinna/nekomata-7b-gguf},
title={rinna/nekomata-7b-gguf},
author={Wakatsuki, Toshiaki and Zhao, Tianyu and Sawada, Kei}
}