zenlm/zen-finance
The zenlm/zen-finance model is an 8 billion parameter large language model developed by Hanzo AI, Zoo Labs Foundation, and Lux Partners Limited. It is fine-tuned from Qwen/Qwen3-8B with a 32K context length, specifically optimized for financial applications. This model excels at tasks such as earnings analysis, portfolio research, market commentary, and financial document synthesis. It is designed for financial technology developers and quantitative researchers.
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Overview
zenlm/zen-finance is an 8 billion parameter large language model, fine-tuned from the Qwen/Qwen3-8B base model, featuring a 32K token context length. Developed through a joint research effort by Hanzo AI, Zoo Labs Foundation, and Lux Partners Limited, this model is specifically engineered for the financial domain. It incorporates unique training methodologies including Hanzo identity training, agentic-data fine-tuning, and abliteration to enhance its financial understanding and processing capabilities.
Key Capabilities
- Financial Analysis: Optimized for detailed earnings analysis and portfolio research.
- Market Commentary: Capable of generating insights and commentary on market trends.
- Document Synthesis: Excels at synthesizing information from complex financial documents.
- Developer-Focused: Designed for integration into financial technology applications and for use by quant researchers.
Use Cases
- Financial Technology Development: Ideal for building AI-powered tools in fintech.
- Quantitative Research: Supports advanced research requiring deep financial data processing.
- Automated Reporting: Can assist in generating automated financial reports and summaries.
All weights for the zenlm family, including zen-finance, are released under the Apache 2.0 license, allowing for commercial deployment, local execution, and further fine-tuning.