Fix multi lora device

[tastelikefeet]

PR type

• Bug Fix
• New Feature
• Document Updates
• More Models or Datasets Support

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[gemini-code-assist]

Code Review

This pull request updates the Twinkle framework to version 0.2.0, transitioning the default model to Qwen3.6-35B-A3B and significantly expanding the documentation and cookbook examples. Key technical changes include the implementation of a convenience encode method for single trajectories and the addition of several new components such as Gym, Hub, and various RL-focused loss functions. Feedback suggests clarifying the error message when encode is used with a splitting truncation strategy and verifying template compatibility for text-only models in example scripts.

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src/twinkle/template/base.py (564-566)

The assertion correctly prevents the use of truncation_strategy='split' with the encode method, as splitting results in multiple InputFeature objects which cannot be returned by a method designed for a single trajectory. However, the error message suggests using batch_encode() instead. It would be helpful to clarify that batch_encode should be used when multiple output features are expected from a single input due to splitting.

cookbook/sample/sample.py (82)

The script uses Qwen3_5Template with MODEL_ID='Qwen/Qwen3.5-4B'. According to the documentation in docs/source_en/Components/Template/Template.md, Qwen3_5Template is specifically for Qwen3.5 MLLMs (multimodal models). If Qwen/Qwen3.5-4B is a pure text model, using the base Template class might be more appropriate and less prone to unexpected behavior related to multimodal processing.