Model Overview

OsakanaTeishoku/Qwen3-4B-Thinking-2507-reasoning-ja-20260329 is a 4 billion parameter language model developed by OsakanaTeishoku. It is based on the Qwen3 architecture and was fine-tuned from unsloth/Qwen3-4B-Thinking-2507 using Unsloth and Huggingface's TRL library, resulting in 2x faster training.

Key Capabilities

• Japanese Reasoning: The model is specifically trained to generate detailed reasoning in Japanese for Japanese inputs.
• Knowledge-based QA: It was fine-tuned using the DataPilot/Knowledge-QA-SingleTurn-Dataset, making it suitable for single-turn knowledge question-answering tasks.
• Context Length: Supports a context length of 16384 tokens, allowing for processing of moderately long inputs.

Intended Use Cases

This model is ideal for applications requiring:

• Generating explanatory or reasoning-based responses in Japanese.
• Answering factual questions in Japanese based on provided knowledge.
• Integrating into systems that need a compact yet capable Japanese-centric reasoning model.