WabiSabi-V1

<img src="./wabisabi-logo.jpg" width="100%" height="20%" alt="">

Model Card for Wabisabi-v1.0

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

wabisabi 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
• Can be generated NSFW
• 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

Vicuna-v1.1

Other points to keep in mind

• The training data may be biased. Be careful with the generated sentences.
• Memory usage may be large for long inferences.
• If possible, we recommend inferring with llamacpp rather than Transformers.