nico248000000000/Qwen3.8-27B-finance

VISIONPricing:Input $1.6 / Cached $0.15 / Output $12Concurrent Unit Cost:2Model Size:27BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 28, 2026License:otherArchitecture:Transformer Featherless Exclusive Cold

Qwen3.8-27B-finance by nico248000000000 is a 27 billion parameter instruction-tuned language model based on Qwen/Qwen3.8-27B, specialized for financial domain tasks. It excels as a research and briefing aid for macro regimes, market analysis, trading strategies, and asset allocation. The model was fine-tuned using LoRA/QLoRA on a dedicated finance dataset, demonstrating significant reductions in training and evaluation loss compared to its base model.

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Qwen3.8-27B-finance: Specialized Financial Assistant

Qwen3.8-27B-finance is a 27 billion parameter instruction-tuned model developed by nico248000000000, built upon the Qwen/Qwen3.8-27B base model. This checkpoint is specifically designed to act as an expert finance assistant, focusing on areas such as macro regimes, rates and credit, hedge-fund styles, and market structure. It serves as a valuable research and briefing tool for financial professionals.

Key Capabilities

  • Domain Specialization: Highly proficient in financial topics, including macroeconomics, market analysis, trading, and asset allocation.
  • Instruction Following: Fine-tuned with a chat-templated SFT dataset (finance_dataset_master.v2.jsonl) for precise instruction adherence.
  • Performance Improvement: Achieved a 75.3% reduction in training loss and a 61.5% reduction in evaluation loss compared to the base model's initial logged performance.
  • Multimodal Support: Retains vision and video capabilities from the base Qwen model, with these layers frozen during text SFT.

Good for

  • Market Briefing: Generating summaries and insights on market conditions.
  • Risk Explanation: Explaining factor and style risks in investment portfolios.
  • Investment Committee Support: Structuring notes and preparing materials for investment committees.
  • Financial Research: Aiding in research related to macro regimes, credit markets, and trading strategies.

Out of Scope: This model is not intended to provide investment advice and should not be used as the sole input for live trading or client recommendations.

Finetunes
3 models