fix: some of the model settings are not applied

[louis-jan]

Describe Your Changes

This PR aims to ensure that all model settings are sent to the llama.cpp server. In this patch, we'll apply a very minimal validation to avoid potential issues. Any enhancements should be submitted to the llama.cpp extension Epic.

With some of parameters disabled (leave empty)

With value inputed

Fixes Issues

• Closes #
• Closes #

Self Checklist

• Added relevant comments, esp in complex areas
• Updated docs (for bug fixes / features)
• Created issues for follow-up changes or refactoring needed

---

Important

Fixes issue where some model settings were not applied by converting specific parameters to float in normalizeValue() in utils.ts.

• Behavior:
  • Ensures all model settings are sent to the llama.cpp server by updating normalizeValue() in utils.ts to convert specific parameters to float.
  • Applies minimal validation to prevent potential issues.
• Functions:
  • Updates normalizeValue() to handle temperature, top_k, top_p, min_p, repeat_penalty, frequency_penalty, presence_penalty, repeat_last_n as floats.
  • Uses validationRules in extractInferenceParams() and extractModelLoadParams() to validate and normalize parameters.

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[ellipsis-dev]

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[ellipsis-dev]

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Changes requested ❌

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