vllm - 💡(How to fix) Fix [Bug]: qwen3 235B model with latest vllm is going to generate only 1 token. [6 comments, 3 participants]

Fix Plan

The issue seems to be related to the upgrade of the VLLM version, which is causing the Qwen3 235B model to fail in producing tokens. To fix this, we can try the following steps:

• Check the compatibility of the Qwen3 235B model with the latest VLLM version.
• Update the model configuration to match the new VLLM version requirements.
• Verify that the collect_env.py script is correctly configured and running without errors.

Here's an example code snippet to update the model configuration:

import torch

# Load the Qwen3 235B model
model = torch.load('qwen3_235b.pth')

# Update the model configuration to match the new VLLM version
model.config.update({
    'vllm_version': 'latest',
    'tokenization': 'updated_tokenizer'
})

# Save the updated model configuration
torch.save(model, 'qwen3_235b_updated.pth')

Additionally, you can try to reset the model's weights and biases to their default values:

# Reset the model's weights and biases
model.apply(weights_init)

Make sure to replace weights_init with the actual function or method that initializes the model's weights and biases.

Verification

To verify that the fix worked, you can try running the collect_env.py script again and check if the Qwen3 235B model is producing tokens correctly. You can also test the model on a sample input to ensure it's working as expected.

Extra Tips

• Make sure to check the VLLM documentation for any specific requirements or updates for the Qwen3 235B model.
• If the issue persists, try rolling back to a previous version of the VLLM and see if the model works correctly.