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README.md
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# DMind-2:
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## Model Overview
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DMind2-base: Professional trading terminals and workstations
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DMind2-large: Enterprise and institutional deployment
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## Model Variants
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### DMind2-mini
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- **Base Model**: Qwen3-4B-Thinking-2507
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- **Parameters**: 4B
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- **Training Duration**: 1 month of refined post-training
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- **Hardware Requirements**: Minimum 4GB VRAM, supports consumer-grade GPUs
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- **Inference Speed**: Single analysis response <2 seconds (RTX 3060)
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- **Features**: Optimized for edge deployment, achieving extreme lightweight while maintaining professional analysis capabilities
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### DMind2-base (Coming Soon)
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- **Parameters**: 8B
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- **Target Scenario**: Professional trading terminal deployment
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### DMind2-large (Coming Soon)
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- **Parameters**: 14B
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- **Target Scenario**: Institutional-grade private deployment
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## Technical Innovations
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- Qwen/Qwen3-4B-Thinking-2507
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# DMind-2: Advanced Web3 Domain-Specific Large Language Models
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## Model Overview
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DMind2-base: Professional trading terminals and workstations
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DMind2-large: Enterprise and institutional deployment
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## Model Variants(DMind2-mini)
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- **Base Model**: Qwen3-4B-Thinking-2507
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- **Parameters**: 4B
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- **Training Duration**: 1 month of refined post-training
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- **Hardware Requirements**: Minimum 4GB VRAM, supports consumer-grade GPUs
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- **Features**: Optimized for edge deployment, achieving extreme lightweight while maintaining professional analysis capabilities
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## Technical Innovations
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