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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-Pro demonstrates exceptional depth of understanding and analytical capabilities when addressing complex Web3 ecosystem challenges, delivering comprehensive insights that span from macroeconomic trends to microscopic on-chain behaviors.
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- ## Model Variants(Dmind2-Pro)
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  - **Base Model**: GLM-4.5-Air
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  - **Parameters**: 107B
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  - **Training Duration**: 1 month of refined post-training
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  ## Performance Metrics
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- | Category | Benchmark (Metric) | DeepSeek-R1-0528 | gpt-oss-120b | Qwen3-235b-a22b | GLM-4.5-Air | **DMind2-pro(107B)** |
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  | :--- | :--- | :--- | :--- | :--- | :--- | :--- |
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  | **General** | | | | | | |
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  | | MMLU-Pro (EM) | 84.0 | 90.0 | 80.6 | 81.4 | 83.1 |
 
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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-Pro demonstrates exceptional depth of understanding and analytical capabilities when addressing complex Web3 ecosystem challenges, delivering comprehensive insights that span from macroeconomic trends to microscopic on-chain behaviors.
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+ ## Model Variants(DMind-2-107B)
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  - **Base Model**: GLM-4.5-Air
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  - **Parameters**: 107B
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  - **Training Duration**: 1 month of refined post-training
 
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  ## Performance Metrics
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+ | Category | Benchmark (Metric) | DeepSeek-R1-0528 | gpt-oss-120b | Qwen3-235b-a22b | GLM-4.5-Air | **DMind-2-107B(107B)** |
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  | :--- | :--- | :--- | :--- | :--- | :--- | :--- |
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  | **General** | | | | | | |
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  | | MMLU-Pro (EM) | 84.0 | 90.0 | 80.6 | 81.4 | 83.1 |