TeichAI/Qwen3-4B-Thinking-2507-Claude-4.5-Opus-High-Reasoning-Distill
The TeichAI/Qwen3-4B-Thinking-2507-Claude-4.5-Opus-High-Reasoning-Distill is a 4 billion parameter language model based on the Qwen3 architecture, fine-tuned by TeichAI. This model is specifically distilled from a Claude Opus 4.5 dataset with a focus on high reasoning, making it suitable for complex analytical tasks. It excels in applications requiring strong reasoning, such as coding, scientific problem-solving, and general-purpose intelligent assistance.
Loading preview...
Model Overview
TeichAI/Qwen3-4B-Thinking-2507-Claude-4.5-Opus-High-Reasoning-Distill is a 4 billion parameter language model developed by TeichAI. It is built upon the unsloth/Qwen3-4B-Thinking-2507 base model and has been specifically trained using a high-reasoning dataset derived from Claude Opus 4.5. This distillation process aims to imbue the model with advanced reasoning capabilities, making it a powerful tool for demanding cognitive tasks.
Key Capabilities
- High Reasoning: Trained on a dataset emphasizing complex reasoning, distinguishing it from general-purpose models.
- Claude Opus 4.5 Distillation: Leverages the reasoning patterns of a highly capable proprietary model.
- Efficient Size: At 4 billion parameters, it offers a balance between performance and computational efficiency.
Good For
- Coding: Assisting with programming tasks and understanding code logic.
- Science: Supporting scientific research and problem-solving.
- General Purpose: Handling a wide array of tasks that require strong analytical and reasoning skills.
This model is part of a family of Claude 4.5 Opus distilled models by TeichAI, including larger 8B parameter variants, indicating a consistent focus on high-quality reasoning distillation across different scales.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.