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  ## Model Overview
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- DMind-2 is a series of Web3 investment analysis language models designed to provide real-time, professional Web3 investment consulting services for individual investors and professional institutions. Standing on the shoulders of numerous open-source pioneers, we have successfully launched two model variants through innovative post-training techniques. Among these, DMind-2-mini is specifically optimized for edge deployment, enabling users to access institutional-grade investment analysis capabilities on local devices without concerns about data privacy or network latency.
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- ## Model Variants(DMind-2-mini)
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  - **Base Model**: Qwen3-4B-Thinking-2507
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  - **Parameters**: 4B
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  ## Performance Metrics
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- | Category | Benchmark (Metric) | DeepSeek-R1-0528-Qwen3-8B | gpt-oss-20b | Qwen3-32B | Qwen3-4B(Thinking) | DMind-2-mini(4B) |
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  | :--- | :--- | :--- | :--- | :--- | :--- | :--- |
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  | **General** | | | | | | |
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  | | MMLU-Pro (EM) | 84.0 | 85.3 | 65.54 | 70.4 | 82.1 |
 
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  ## Model Overview
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+ DMind-2 is a series of Web3 investment analysis language models designed to provide real-time, professional Web3 investment consulting services for individual investors and professional institutions. Standing on the shoulders of numerous open-source pioneers, we have successfully launched two model variants through innovative post-training techniques. Among these, DMind-2-4B is specifically optimized for edge deployment, enabling users to access institutional-grade investment analysis capabilities on local devices without concerns about data privacy or network latency.
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+ ## Model Variants(DMind-2-4B)
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  - **Base Model**: Qwen3-4B-Thinking-2507
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  - **Parameters**: 4B
 
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  ## Performance Metrics
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+ | Category | Benchmark (Metric) | DeepSeek-R1-0528-Qwen3-8B | gpt-oss-20b | Qwen3-32B | Qwen3-4B(Thinking) | DMind-2-4B(4B) |
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  | :--- | :--- | :--- | :--- | :--- | :--- | :--- |
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  | **General** | | | | | | |
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  | | MMLU-Pro (EM) | 84.0 | 85.3 | 65.54 | 70.4 | 82.1 |