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.
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