README.md

metadata

language:
  - en
license: mit
tags:
  - finance
pipeline_tag: text-generation
widget:
  - example_title: Easy
    text: |
      <|user|>
      How do call options benefit the buyer?
      <|assistant|>
  - example_title: Medium
    text: >
      <|user|>

      Why might a trader choose to quickly exit a losing position, even if they
      still believe in the original trade idea?

      <|assistant|>
  - example_title: Hard
    text: >
      <|user|>

      In the context of Harry Markowitz's Portfolio Selection theory, what does
      an 'efficient' portfolio refer to?

      <|assistant|>
inference:
  parameters:
    temperature: 0.2
    min_new_tokens: 20
    max_new_tokens: 250

AlphaBlind Tiny v0.001

Our Proof-of-Concept (POC) for the LLM-ADE framework (https://arxiv.org/abs/2404.13028). A very early, initial version of TinyLlama processing and ingesting llm-ade-fin_data-subset-earnings-10k and other financial data with the LLM-ADE framework.

Note: This model has not been thoroughly tested, and is very small - it can run on a Macbook Pro. Please do not use this version of the model as is.