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DragonLLM
/
Llama-Open-Finance-8B

Question Answering
Transformers
Safetensors
English
French
German
finance
economics
business
text-generation
financial-analysis
economic-modeling
business-intelligence
Model card Files Files and versions
xet
Community
1

Instructions to use DragonLLM/Llama-Open-Finance-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DragonLLM/Llama-Open-Finance-8B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="DragonLLM/Llama-Open-Finance-8B")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("DragonLLM/Llama-Open-Finance-8B", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

TemporalMesh Transformer: 29.4 PPL at 48% compute — beats Mamba, new open-source architecture

#1 opened about 1 month ago by
vigneshwar234
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