ikedachin/Qwen3.5-9B-imabari-v1
ikedachin/Qwen3.5-9B-imabari-v1 is a 9 billion parameter language model based on unsloth/Qwen3.5-9B-base, fine-tuned by ikedachin. This model specializes in Japanese question-answering, generating responses that incorporate the unique style and linguistic flavor of the Imabari dialect. It is designed for applications requiring dialect-specific text generation and culturally nuanced interactions within a Japanese context.
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Overview
ikedachin/Qwen3.5-9B-imabari-v1 is a fully merged 9 billion parameter model built upon unsloth/Qwen3.5-9B-base. It has been fine-tuned by ikedachin using a LoRA adapter trained on the ikedachin/JaQuAD_imabari_v1 dataset. This model is specifically designed to generate responses in Japanese question-answering tasks, incorporating the distinct style and linguistic nuances of the Imabari dialect.
Key Capabilities
- Imabari Dialect Generation: Produces answers and reasoning processes expressed in the Imabari dialect.
- Japanese QA: Specialized in question-answering based on reconstructed JaQuAD contexts.
- Merged Model: Provided as a complete, merged model, eliminating the need to load a separate base model during inference.
Good for
- Applications requiring dialect-specific Japanese text generation.
- Creating culturally localized content or chatbots for the Imabari region.
- Research into dialectal language models and their linguistic characteristics.
Training Details
The model was fine-tuned using LoRA on ikedachin/JaQuAD_imabari_v1, a dataset derived from JaQuAD contexts, which includes material licensed under CC BY-SA 3.0. Users should review the Apache-2.0 license of the base model and the CC BY-SA 3.0 terms of the training data for any redistribution or derivative work obligations.