---
license: apache-2.0
datasets:
- augmxnt/ultra-orca-boros-en-ja-v1
language:
- ja
- en
base_model: augmxnt/shisa-gamma-7b-v1
pipeline_tag: text-generation
---

# QuantFactory/shisa-gamma-7b-v1-GGUF
This is quantized version of [augmxnt/shisa-gamma-7b-v1](https://huggingface.co/augmxnt/shisa-gamma-7b-v1) created using llama.cpp

# Model Description

For more information see our main [Shisa 7B](https://huggingface.co/augmxnt/shisa-gamma-7b-v1/resolve/main/shisa-comparison.png) model

We applied a version of our fine-tune data set onto [Japanese Stable LM Base Gamma 7B](https://huggingface.co/stabilityai/japanese-stablelm-base-gamma-7b) and it performed pretty well, just sharing since it might be of interest.

Check out our [JA MT-Bench results](https://github.com/AUGMXNT/shisa/wiki/Evals-%3A-JA-MT%E2%80%90Bench).

![Comparison vs shisa-7b-v1](https://huggingface.co/augmxnt/shisa-gamma-7b-v1/resolve/main/shisa-comparison.png)

![Comparison vs other recently released JA models](https://huggingface.co/augmxnt/shisa-gamma-7b-v1/resolve/main/ja-comparison.png)