初始化项目，由ModelHub XC社区提供模型

Model: Local-Novel-LLM-project/WabiSabi-V1
Source: Original Platform

README.md

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+---
+license: apache-2.0
+language:
+- en
+- ja
+tags:
+- finetuned
+library_name: transformers
+pipeline_tag: text-generation
+---
+<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.