Sampling parameters client-side config

[Skyrion9]

First off, love the project, one thing has been bothering me was that I couldn't change the sampling parameters on client-side. With llama3.1 there's more repetition and temperatures above 0.2 are difficult to work with in that if you don't give the AI a clear goal it might go on a tangent.  

• Added the most popular sampling parameters into glados_config.yml to allow users to customize the sampling on client-side. This is helpful for a few reasons:

  • Given different scenarios benefit from different parameters, it's good to allow customization.
    • For smart, mostly accurate and helpful GlaDOS turn temperature and various other parameters down. Turn them up if you want more witty jokes and creativity at risk of dreaming up stuff.
  • Ability to use one LLM server for multiple tasks (GlaDOS, Coding, ST and RAG) when each client sends their sampling parameters along with each request.
  • Testing/Edge cases
• When user comments out all the parameters, the (llama.cpp ¹ ) safe defaults from class LlamaGenConfig are used, preventing any errors.
  • Although this could've been an if statement, in edge cases like the server being configured for coding tasks by default, it's better to use the safe defaults from this.
    • TODOs

• Implement some of the less-important sampling parameters. I've decided not to do it since the defaults are usually best there, although some people might want repetition penalty for long conversations..?

  • Notes
• llama.cpp safe defaults ¹ Since LLama.cpp defaults differ between their API descriptions and readme descriptions, I've opted to use the default values from llama.cpp's chat UI (while running LLama3.1 8b)

Summary by CodeRabbit

• New Features

  • Introduced a new configuration class, LlamaGenConfig, enhancing the control over Llama generation parameters.
  • Added a YAML configuration section allowing users to customize Llama generation settings.

• Improvements

  • Enhanced the VoiceRecognition class to support new parameters for improved Llama generation.
  • Updated the main execution flow to load configurations from YAML for dynamic adjustments.

[coderabbitai[bot]]

Walkthrough

The recent changes introduce a new configuration class, LlamaGenConfig, to enhance Llama generation parameters in the Glados framework. This addition allows for flexible management of generation settings through a YAML configuration file, enabling better customization for users. The integration of these parameters into various classes, like VoiceRecognition and Glados, enhances the overall configurability and responsiveness of the model's output behavior.

Changes

Files	Change Summary
glados.py	Added LlamaGenConfig class and from_yaml method; modified VoiceRecognition and Glados.from_config to integrate new Llama generation parameters.
glados_config.yml	Introduced a new configuration section LlamaGenConfig with parameters (temperature, dynatemp_range, etc.) for model behavior customization.

Poem

🐇 In fields of code where rabbits play,
New settings bloom, bright as day.
LlamaGenConfig hops along,
With tweaks and turns, we'll sing our song!
Flexibility in each new line,
A dance of data, all divine! 🌼

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[dnhkng]

Much appreciated!

I will be leaving today for an overseas holiday, I can review this when I'm back next month.

[Skyrion9]

I will be leaving today for an overseas holiday, I can review this when I'm back next month.

Thanks for the quick response and enjoy your holiday!