Text Generation
Transformers
PyTorch
Safetensors
English
rwkv
finance
Inference Endpoints
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  # Fin-RWKV: Attention Free Financal Expert (WIP)
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  Fin-RWKV is a cutting-edge, attention-free model designed specifically for financial analysis and prediction. Developed as part of a MindsDB Hackathon, this model leverages the simplicity and efficiency of the RWKV architecture to process financial data, providing insights and forecasts with remarkable accuracy. Fin-RWKV is tailored for professionals and enthusiasts in the finance sector who seek to integrate advanced deep learning techniques into their financial analyses.
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  ## Features
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  - Attention-Free Architecture: Utilizes the RWKV (Recurrent Weighted Kernel-based) model, which bypasses the complexity of attention mechanisms while maintaining high performance.
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  - Lower Costs: 10x to over a 100x+ lower inference cost, 2x to 10x lower training cost
 
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  # Fin-RWKV: Attention Free Financal Expert (WIP)
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  Fin-RWKV is a cutting-edge, attention-free model designed specifically for financial analysis and prediction. Developed as part of a MindsDB Hackathon, this model leverages the simplicity and efficiency of the RWKV architecture to process financial data, providing insights and forecasts with remarkable accuracy. Fin-RWKV is tailored for professionals and enthusiasts in the finance sector who seek to integrate advanced deep learning techniques into their financial analyses.
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+ ## Use Cases
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+ - Sentiment analysis
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+ - Forecast
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+ - Product Pricing
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  ## Features
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  - Attention-Free Architecture: Utilizes the RWKV (Recurrent Weighted Kernel-based) model, which bypasses the complexity of attention mechanisms while maintaining high performance.
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  - Lower Costs: 10x to over a 100x+ lower inference cost, 2x to 10x lower training cost