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WabiSabi-V1 – AI Model by Local-Novel-LLM-project | AlphaNeural AI
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Local-Novel-LLM-project
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WabiSabi-V1
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transformers
safetensors
mistral
text-generation
finetuned
en
ja
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
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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.
