|
--- |
|
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. |
