yzhuang/Mistral-7B-Instruct-v0.1_fictional_Japanese_v1
yzhuang/Mistral-7B-Instruct-v0.1_fictional_Japanese_v1 is a 7 billion parameter language model developed by yzhuang, fine-tuned from mistralai/Mistral-7B-Instruct-v0.1. This model is specifically adapted for fictional Japanese text generation, leveraging its base architecture for instruction-following tasks. It is intended for applications requiring specialized Japanese language understanding and generation within a fictional context.
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Overview
yzhuang/Mistral-7B-Instruct-v0.1_fictional_Japanese_v1 is a 7 billion parameter instruction-tuned language model, fine-tuned by yzhuang from the base mistralai/Mistral-7B-Instruct-v0.1 architecture. This model is specialized for generating fictional Japanese content, building upon the robust capabilities of its Mistral-7B-Instruct foundation.
Key Capabilities
- Fictional Japanese Text Generation: Optimized for creating content in a fictional Japanese style.
- Instruction Following: Inherits instruction-following abilities from the Mistral-7B-Instruct-v0.1 base model.
Training Details
The model was fine-tuned using the following hyperparameters:
- Learning Rate: 5e-05
- Batch Size: 1 (train), 2 (eval)
- Gradient Accumulation Steps: 16
- Optimizer: Adam with betas=(0.9, 0.999) and epsilon=1e-08
- Epochs: 36
Good For
- Developers and researchers working on Japanese natural language generation, particularly for creative or fictional applications.
- Prototyping and experimentation with specialized language models for niche content creation.
Further details on the specific dataset used for fine-tuning, intended uses, and limitations are not provided in the current model card.