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Add QLoRA and advanced PEFT presets #9

@SahilKumar75

Description

@SahilKumar75

Problem

Many users will need low-memory fine-tuning paths for larger open models.

Scope

  • Add QLoRA presets with quantization-aware configuration.
  • Add presets for common hardware profiles.
  • Support future PEFT techniques through a shared configuration model.

Acceptance Criteria

  • Users can select QLoRA as a technique.
  • The UI explains the tradeoff between memory, speed, and quality.
  • Presets populate safe default values that users can adjust.

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    area:fine-tuningLoRA, QLoRA, training configuration, and tuning workflowspriority:highRequired for the first complete product workflowtype:featureNew product capability

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