Summary of Changes

Hello @pluesclues, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request enhances the Qwen2_5_7B_VL_GRPO notebook by adding backward compatibility for the trl library. It integrates version checks to conditionally apply chat templates and format prompts, ensuring that the notebook functions correctly regardless of whether an older (<0.24.0) or newer trl version is in use. This prevents potential breaking changes and improves the robustness of the notebook across different environments.

Highlights

• TRL Version Compatibility: Introduced conditional logic to ensure the notebook is compatible with trl library versions older than 0.24.0.
• Chat Template Application: Added a new code cell to explicitly apply the chat template to the training dataset's prompts if the trl version is below 0.24.0, as newer versions handle this automatically.
• Dynamic Prompt Preparation: Modified the prompt preparation for model generation to dynamically apply the chat template based on the trl library version, ensuring correct formatting for both older and newer trl setups.

🧠 New Feature in Public Preview: You can now enable Memory to help Gemini Code Assist learn from your team's feedback. This makes future code reviews more consistent and personalized to your project's style. Click here to enable Memory in your admin console.

Thanks for this PR! The logic is correct. A few suggested improvements:

1. Use unsloth_zoo.utils.Version instead of packaging.version

This is cleaner and now supports passing package names directly:

# Before
import trl 
from packaging import version
if version.parse(trl.__version__) < version.parse("0.24.0"):

# After
from unsloth_zoo.utils import Version
if Version("trl") < Version("0.24.0"):

2. Missing version check in Cell 34 (second inference after training)

The second inference block after training is missing the version check. Currently it uses train_dataset[165]["prompt"] directly, which will fail for TRL >= 0.24.0 since the prompt is still in list format.

Should be:

if Version("trl") < Version("0.24.0"):
  example_prompt = train_dataset[165]["prompt"]
else:
  example_prompt = tokenizer.apply_chat_template(train_dataset[165]["prompt"], tokenize = False, add_generation_prompt = True)

outputs = model.fast_generate(
    {
        "prompt": example_prompt,
        "multi_modal_data": {"image": train_dataset[165]["image"]}
    },
    sampling_params,
    lora_request = model.load_lora("grpo_lora"))

Let me know if you want me to push these changes directly.