aokitools/japanese-laws-egov-instruct-202508071025
The aokitools/japanese-laws-egov-instruct-202508071025 is a 2 billion parameter instruction-tuned causal language model, continually pre-trained from Qwen/Qwen3-1.7B. This model is currently in a research stage and is designed for specific applications related to Japanese laws and e-government. It features a 32768 token context length, making it suitable for processing longer documents and complex legal texts.
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Overview
This model, aokitools/japanese-laws-egov-instruct-202508071025, is an experimental 2 billion parameter instruction-tuned language model. It is built upon the Qwen3-1.7B base model and utilizes the QwenTokenizer. Currently in a research stage, its development focuses on applications related to Japanese laws and e-government.
Key Capabilities
- Instruction Following: Designed to respond to instructions, likely tailored for legal and governmental queries in Japanese.
- Extended Context Window: Features a 32768 token context length, enabling the processing of substantial documents and detailed legal texts.
- Qwen3-1.7B Foundation: Benefits from the architecture and initial training of the Qwen3-1.7B model.
Training Details
The model underwent continual pre-training based on the Qwen/Qwen3-1.7B model. It uses the QwenTokenizer for processing text.
Licensing
This model is released under a dual license: Apache 2.0 and the Alibaba Qianwen License.
Should I use this for my use case?
This model is in an experimental research stage. It is specifically geared towards Japanese laws and e-government contexts. If your application involves these specific domains and you are comfortable with using a model under active research, it might be suitable for exploration. For general-purpose tasks or production environments requiring stable, broadly tested models, alternatives might be more appropriate.