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  Based of the full weight llama 2-hermes from Nous Research.
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  ### Model Description
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-
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- <!-- This model was fine tuned off the full weight llama-2-hermes-7B from Nous Research. This model is a preemptive V1, and a hastily put together model to assist
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  in finance and compliance tasks, mostly tuned to the new SEC Marketing and Compliance rules established in 2021. Later iterations will have more guidelines and rulings
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  unrelated to the SEC Marketing rule.
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  https://www.sec.gov/files/rules/final/2020/ia-5653.pdf
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- This is to help companies and individuals within compliance and marketing departments to determine and find issues within their marketing or public facing documents.
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- Since the new marketing rule is principles based it requires logic, experience, and reasoning to determine if a statement or advertisement would be compliant within
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- the SEC's new guidelines. This can lead to multiple viewpoints of compliant or not depending on the viewer. Thus this is a small/high quality dataset version
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- to aid or provide an second viewpoint of a public facing statement to help determine if something is compliant per the SEC's guidelines. The dataset was crafted by
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- reviewing the SEC Marketing rule, other scenarios, and providing reasoning within the ###n\ Response n\### to help guide the model in reasoning tasks.
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- Further versions will be reviewed more for accuracy, bias, and more data. -->
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@@ -47,9 +41,14 @@ Further versions will be reviewed more for accuracy, bias, and more data. -->
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  ## Uses
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- <!-- For use by marketing and compliance finance teams to assist in determination and interpretation of SEC Marketing rule and other SEC interpretations. No outputs should be guaranteed as fact,
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- and review of data is encouraged. This is to simply assist, and aid those in remembering certain aspects and interpretation of aspects of the long SEC Marketing guidelines
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- amongst other SEC rulings. -->
 
 
 
 
 
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  ### Direct Use
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@@ -59,26 +58,33 @@ amongst other SEC rulings. -->
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  ### Downstream Use [optional]
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  <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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  [More Information Needed]
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  ### Out-of-Scope Use
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  <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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  [More Information Needed]
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  ## Bias, Risks, and Limitations
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  <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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  [More Information Needed]
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  ### Recommendations
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- <!-- This is the first model iteration, and has not be fully reviewed by multiple professional peers for its accuracy, bias, and output variations.
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- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. -->
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  ## How to Get Started with the Model
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  Based of the full weight llama 2-hermes from Nous Research.
17
 
18
  ### Model Description
19
+ This model was fine tuned off the full weight llama-2-hermes-7B from Nous Research. This model is a preemptive V1, and a hastily put together model to assist
 
20
  in finance and compliance tasks, mostly tuned to the new SEC Marketing and Compliance rules established in 2021. Later iterations will have more guidelines and rulings
21
  unrelated to the SEC Marketing rule.
22
  https://www.sec.gov/files/rules/final/2020/ia-5653.pdf
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+ <!-- -->
 
 
 
 
 
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  ## Uses
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+ This is to help companies and individuals within compliance and marketing departments to determine and find issues within their marketing or public facing documents.
45
+ Since the new marketing rule is principles based it requires logic, experience, and reasoning to determine if a statement or advertisement would be compliant within
46
+ the SEC's new guidelines. This can lead to multiple viewpoints of compliant or not depending on the viewer. Thus this is a small/high quality dataset version
47
+ to aid or provide an second viewpoint of a public facing statement to help determine if something is compliant per the SEC's guidelines. The dataset was crafted by
48
+ reviewing the SEC Marketing rule, other scenarios, and providing reasoning within the ###n\ Response n\### to help guide the model in reasoning tasks.
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+ Further versions will be reviewed more for accuracy, bias, and more data.
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+
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+ <!-- -->
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  ### Direct Use
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58
 
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  ### Downstream Use [optional]
60
 
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+ For use by marketing and compliance finance teams to assist in determination and interpretation of SEC Marketing rule and other SEC interpretations. No outputs should be guaranteed as fact,
62
+ and review of data is encouraged. This is to simply assist, and aid those in remembering certain aspects and interpretation of aspects of the long SEC Marketing guidelines
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+ amongst other SEC rulings.
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+
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  <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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  [More Information Needed]
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  ### Out-of-Scope Use
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+ This model should not be intended to be used as fact, as evidence/proof in a trial hearing, or be used as indication of innocence in an SEC audit/investigation.
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+ This model should be used by professionals deeply familiar with the SEC's guidelines and compliance procedures.
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  <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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  [More Information Needed]
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  ## Bias, Risks, and Limitations
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+ This is the first model iteration, and has not be fully reviewed by multiple professional peers for its accuracy, bias, and output variations.
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+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model.
81
  <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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  [More Information Needed]
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  ### Recommendations
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+ <!-- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. -->
 
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  ## How to Get Started with the Model
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