ReTool-Qwen3-4B-SFT-cold-started is a 4 billion parameter Hybrid Thinking LLM developed by Xiang Long at ModelBest Inc., fine-tuned from Qwen/Qwen3-4B. This English-language model is designed for complex reasoning tasks, leveraging its unique architecture to process and generate human-like text. With a substantial 40960 token context length, it is suitable for applications requiring extensive contextual understanding and generation.
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Model Overview
ReTool-Qwen3-4B-SFT-cold-started is a 4 billion parameter Hybrid Thinking LLM developed by Xiang Long at ModelBest Inc. and funded by ModelBest Inc. & OpenBMB. This model is fine-tuned from the Qwen/Qwen3-4B base model and operates primarily in English. It is released under the Apache 2.0 license.
Key Characteristics
- Model Type: Hybrid Thinking LLM, suggesting an architecture designed for advanced reasoning and problem-solving capabilities.
- Base Model: Fine-tuned from Qwen/Qwen3-4B, indicating a foundation in the Qwen series of large language models.
- Language: English-centric, optimized for tasks within the English language domain.
- License: Apache 2.0, allowing for broad use and distribution.
Intended Use
While specific direct and downstream uses are not detailed in the provided information, its classification as a "Hybrid Thinking LLM" implies suitability for applications requiring complex cognitive functions, logical reasoning, and nuanced text generation. Users should be aware of potential biases and limitations, as with any LLM, and further information is needed for comprehensive recommendations regarding its application.