aokitools/japanese-laws-egov-instruct-202508031857
The aokitools/japanese-laws-egov-instruct-202508031857 model is a 2 billion parameter instruction-tuned causal language model developed by aokitools. It is a continual pretraining of Qwen3-1.7B, designed to process and generate text with a context length of 32768 tokens. This model is in an experimental research stage, focusing on applications related to Japanese laws and e-government instructions.
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Overview
This model, developed by aokitools, is an experimental 2 billion parameter instruction-tuned language model currently in a research stage. It is built upon the Qwen3-1.7B base model and utilizes the QwenTokenizer, offering a substantial context length of 32768 tokens.
Key Capabilities
- Instruction Following: Designed to respond to instructions, particularly in the domain of Japanese laws and e-government.
- Extended Context: Supports a 32768-token context window, allowing for processing longer documents or conversations.
- Continual Pretraining: Benefits from additional training on top of the Qwen3-1.7B architecture, suggesting specialized knowledge acquisition.
Good For
- Research and Development: Ideal for researchers exploring language models tailored for specific legal or governmental text analysis in Japanese.
- Specialized Japanese Text Processing: Potentially useful for tasks involving the interpretation or generation of content related to Japanese legal documents and e-government instructions.
- Ollama Integration: Easily deployable via Ollama for local experimentation and use.
Licensing
The model is distributed under a dual license: Apache 2.0 and the Alibaba Qianwen License.