---
language:
- en
license: mit
tags:
- finance
pipeline_tag: text-generation
widget:
- example_title: Easy
  text: '<|im_start|>user

    How do call options benefit the buyer?<|im_end|>

    <|im_start|>assistant

    '
- example_title: Medium
  text: '<|im_start|>user

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

    <|im_start|>assistant

    '
- example_title: Hard
  text: '<|im_start|>user

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

    <|im_start|>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.