DMindAI/DMind-3

VISIONConcurrency Cost:2Model Size:27BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:Jan 22, 2026License:apache-2.0Architecture:Transformer0.1K Open Weights Cold

DMindAI's DMind-3 is a 21 billion parameter financial large language model built on a customized Transformer architecture with Multi-Scale RoPE, featuring a 256k token context window. It specializes in Hierarchical Predictive Synthesis (HPS) to provide macro-strategic foresight and systemic risk assessment for Web3 and DeFi. Designed as an "Oracle" for institutional-grade Web3 intelligence, it excels at synthesizing global, cross-domain financial data for proactive decision-making.

Loading preview...

DMind-3: The Macro-Strategic Financial Engine

DMind-3, developed by DMindAI, is a 21 billion parameter financial large language model built on a customized Transformer architecture with Multi-Scale RoPE, offering a 256k token context window. It represents the "Oracle" component in the DMind-3 series, designed for macro-strategic foresight in the Web3 ecosystem. The model introduces Hierarchical Predictive Synthesis (HPS), a methodology that synthesizes multiple, conflicting, and time-variant data streams into coherent probabilistic forecasts, operating on a nested hierarchy of abstraction from on-chain events to macroeconomic indicators.

Key Capabilities

  • Macro-Strategic Foresight: Identifies emerging cross-chain narratives and predicts market regime shifts.
  • Automated Institutional Research: Generates data-driven reports on protocols and performs tokenomics valuation.
  • Systemic Risk Assessment: Models contagion risk across DeFi and detects liquidity issues.
  • Agent Fleet Orchestration: Serves as a central strategic brain for other DMind agents.

Training and Performance

DMind-3 was trained on a diverse corpus including institutional alpha reports (35%), global macroeconomic data (25%), cross-chain indexed data (20%), financial post-mortems (10%), and geopolitical/regulatory feeds (10%). Benchmarks on DMind Benchmark (Web3 Native Logic), FinanceQA (Financial Domain Knowledge), and AIME 2025 (Advanced Mathematical Reasoning) show strong performance, often outperforming larger generalist models in specialized financial tasks.

Intended Use Cases

DMind-3 is ideal for powering next-generation DeFi analytics, risk management platforms, and autonomous agent orchestrators, providing institutional-grade foresight and strategic guidance for developers and funds navigating complex financial markets.

Finetunes
6 models