vllm has problems running this model

#46
by SongXiaoMao - opened

Run this model using vllm Any questions are answered with: !!!!!!!!!!!!!!!!!! Symbols
But there is no problem running this model KirillR/QwQ-32B-Preview-AWQ. What could be the reason?

The issue you're describing could arise from a number of factors. Here’s an analysis:

  1. Model Format Mismatch:

    • vllm Compatibility: If you’re using the vllm inference engine, it’s possible that the model KirillR/QwQ-32B-Preview-AWQ is in a compatible AWQ (Aligned Weight Quantization) format, while the model you're facing issues with is not properly formatted or optimized for vllm.
    • Models not specifically optimized for inference engines like vllm may face issues like weight mismatch or unsupported layer structures.
  2. Hardware Limitations:

    • Running large models like KirillR/QwQ-32B-Preview-AWQ requires significant computational resources. If the model throwing errors is even larger or more demanding, your hardware might not support it efficiently.
    • Check the VRAM and compute requirements of the problematic model and compare it to your system's specs.
  3. Model Architecture or Library Dependency:

    • Some models have dependencies on specific versions of libraries like transformers, torch, or others. If your environment is missing these dependencies or running incompatible versions, the model will fail to run.
  4. Incorrect Configuration or Parameters:

    • If the model has specific requirements for input arguments, tokenization, or model instantiation and these are not configured properly, it can cause failures. On the other hand, KirillR/QwQ-32B-Preview-AWQ might have simpler configuration needs that align with the defaults.
  5. Corrupted or Incomplete Model Files:

    • The model you’re trying to run might not have been downloaded or set up properly, leading to errors during initialization. Ensure all weights, configuration files, and tokenizer files are in place.
  6. AWQ-Specific Optimizations:

    • Models like KirillR/QwQ-32B-Preview-AWQ might be quantized and optimized for efficiency, which makes them run better on vllm compared to non-optimized models.

If you'd like to explore Adam WhatsApp and understand related modifications, visit Adam WhatsApp Features and Installation Guide.

Model Format Mismatch:vllm can be started and loaded normally
Corrupted or Incomplete Model Files:A damaged file cannot be started, right?
Hardware Limitations:4*3090.

I've redownloaded the HF model and updated vllm to the latest version, 0.6.5, and it's working perfectly now. Thank you!

SongXiaoMao changed discussion status to closed

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