---
license: apache-2.0
language:
- en
- ja
tags:
- finetuned
library_name: transformers
pipeline_tag: text-generation
---
<img src="./ninjalogo.svg" width="100%" height="20%" alt=""> 

# We Models
- [Vecteus](https://huggingface.co/Local-Novel-LLM-project/Vecteus-v1)

- [Ninja-v1](https://huggingface.co/Local-Novel-LLM-project/Ninja-v1) 

- [Ninja-v1-128k](https://huggingface.co/Local-Novel-LLM-project/Ninja-v1-128k)

- [Ninja-v1-NSFW-128k](https://huggingface.co/Local-Novel-LLM-project/Ninja-v1-NSFW-128k)

## Model Card for Ninja-v1-128k

The Mistral-7B--based Large Language Model (LLM) is an noveldataset fine-tuned version of the Mistral-7B-v0.1

Ninja-128k has the following changes compared to Mistral-7B-v0.1.
- 128k context window (8k context in v0.1)
- Achieving both high quality Japanese and English generation
- Memory ability that does not forget even after long-context generation

This model was created with the help of GPUs from the first LocalAI hackathon.

We would like to take this opportunity to thank

## List of Creation Methods

- Chatvector for multiple models
- Simple linear merging of result models
- Domain and Sentence Enhancement with LORA
- Context expansion

## Instruction format

  Freed from templates. Congratulations

## Example prompts to improve (Japanese)

  - BAD:　あなたは○○として振る舞います
  - GOOD: あなたは○○です

  - BAD: あなたは○○ができます
  - GOOD: あなたは○○をします

## Other points to keep in mind
  If possible, we recommend inferring with llamacpp rather than Transformers.