ValiantLabs/Qwen3-4B-ShiningValiant3
ValiantLabs/Qwen3-4B-ShiningValiant3 is a 4 billion parameter language model developed by Valiant Labs, built on the Qwen 3 architecture with a 40960 token context length. It is specifically fine-tuned for science, AI design, and general reasoning tasks, leveraging specialized datasets. This model excels at complex problem-solving and general chat performance, making it suitable for applications requiring advanced analytical capabilities.
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ValiantLabs/Qwen3-4B-ShiningValiant3 Overview
ValiantLabs/Qwen3-4B-ShiningValiant3 is a 4 billion parameter model from Valiant Labs, part of the Shining Valiant 3 series, which also includes 1.7B, 8B, 14B, and 20B variants. Built upon the Qwen 3 architecture, this model is a specialist in science, AI design, and general reasoning, featuring a substantial 40960 token context length.
Key Capabilities
- Enhanced Reasoning: Fine-tuned on proprietary science reasoning data, including the Celestia3-DeepSeek-R1-0528 dataset, generated with Deepseek R1 0528.
- AI Design Specialization: Utilizes high-difficulty AI reasoning data from Mitakihara-DeepSeek-R1-0528, making it adept at tasks related to building and innovating with AI technologies.
- Improved General & Creative Reasoning: Incorporates data from Raiden-DeepSeek-R1 to bolster problem-solving and general conversational performance.
- Optimized for Reasoning Mode: The model is designed to perform best with
enable_thinking=Truein its Qwen 3-based prompt format, facilitating a more structured reasoning process.
Good For
- Scientific Research & Analysis: Ideal for tasks requiring deep scientific understanding and reasoning.
- AI Development & Innovation: Supports developers in designing and improving AI systems.
- Complex Problem Solving: Excels in scenarios demanding advanced analytical and logical deduction.
- Local & Fast Inference: Its relatively small size allows for efficient deployment on local desktops, mobile devices, and provides super-fast server inference.