Description
Ling-3.0-flash-Fin is the first finance-enhanced model in the Ant Ling family, developed by Ant Group in collaboration with leading financial institutions and domain experts. This model extends Ling-3.0-flash through continued training on high-quality financial data, resulting in a powerful tool with 124 billion total parameters, 5.1 billion activated parameters, and a 256K context window. These features enable the model to combine financial expertise with efficient inference for long-horizon agent workflows.
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The model is designed for end-to-end financial research, connecting information retrieval, evidence review, calculation, modeling, and report preparation into a seamless process. It prioritizes authoritative sources to deliver accurate, complete, and traceable answers, with FinFIRST open-sourced alongside the model for transparent evaluation of these capabilities.
Ling-3.0-flash-Fin excels in multi-document financial reasoning, reconciling reporting periods, definitions, assumptions, and conflicting figures across various financial documents such as annual reports, earnings releases, regulatory filings, and research materials. It also supports valuation and spreadsheet workflows, understanding formulas, actual-versus-estimate updates, cross-sheet dependencies, balance checks, scenario analysis, and editable financial-model delivery.
The model's outputs are research-ready, organizing facts, analysis, judgments, and charts into clear, reviewable materials for further editing and professional review. Evaluated across several benchmarks, Ling-3.0-flash-Fin is competitive with both similarly sized models and substantially larger general-purpose models, particularly in source selection and tool-intensive financial tasks.
Ling-3.0-flash-Fin is released in BF16 and shares the same architecture as Ling-3.0-flash, making it compatible with the same SGLang and vLLM runtimes. Deployment instructions are available in the Ling-3.0-flash deployment guide. While the model shows promise, it requires further validation in complex, long-horizon workflows, and professional review of key assumptions, valuation results, and investment conclusions.
- CategoryAI Models & LLMs
- Pricing ModelOpen source
- DeploymentCloud
- PlatformsWeb
Ling-3.0-flash-Fin Highlights
Finance-enhanced model
124B total parameters
5.1B activated parameters
256K context window
Source-grounded financial search
Multi-document financial reasoning
Valuation and spreadsheet workflows
Research-ready outputs
Getting Started with Ling-3.0-flash-Fin
Access model page: Visit the Hugging Face website
Authenticate: Log in to your account
Configure: Set parameters for inference
Send prompts: Input your financial queries
Fine-tune: Adjust settings for specific tasks
Ling-3.0-flash-Fin's Use Cases
- Financial Research
- Source-grounded Search
- Multi-document Reasoning
- Valuation Modeling
- Spreadsheet Operations
