Scout example

[mengniwang95]

User description

Type of Change

example

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PR Type

Enhancement

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Description

• Added scripts for quantization and benchmarking Llama4 model

• Included setup script for environment preparation

• Provided README with step-by-step instructions

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Diagram Walkthrough

flowchart LR
  A["Add run_benchmark.sh"] -- "Benchmarking script" --> B["Add run_quant.sh"]
  B -- "Quantization script" --> C["Add setup.sh"]
  C -- "Environment setup" --> D["Add README.md"]
  D -- "Instructions" --> E["Add requirements.txt"]
  E -- "Dependencies" --> F["Complete Llama4 example"]

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File Walkthrough

	Relevant files
Enhancement	run_benchmark.sh Add benchmark script for Llama4                                                    examples/3.x_api/pytorch/multimodal-modeling/quantization/auto_round/llama4/run_benchmark.sh Added main function to handle script execution Implemented parameter initialization Defined benchmark execution logic +61/-0    run_quant.sh Add quantization script for Llama4                                              examples/3.x_api/pytorch/multimodal-modeling/quantization/auto_round/llama4/run_quant.sh Added main function to handle script execution Implemented parameter initialization Defined quantization tuning logic +58/-0    setup.sh Add setup script for Llama4 example                                            examples/3.x_api/pytorch/multimodal-modeling/quantization/auto_round/llama4/setup.sh Added commands to install dependencies Cloned and installed vllm-fork repository +8/-0
Documentation	README.md Add README for Llama4 example                                                        examples/3.x_api/pytorch/multimodal-modeling/quantization/auto_round/llama4/README.md Provided step-by-step instructions for environment setup Included commands for model preparation and execution +36/-0
Dependencies	requirements.txt Add requirements for Llama4 example                                            examples/3.x_api/pytorch/multimodal-modeling/quantization/auto_round/llama4/requirements.txt Listed required Python packages for the example +6/-0

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[PRAgent4INC]

PR Reviewer Guide 🔍

Here are some key observations to aid the review process:

⏱️ Estimated effort to review: 3 🔵🔵🔵⚪⚪

🧪 No relevant tests

🔒 No security concerns identified

⚡ Recommended focus areas for review Typo There is a typo in the command pip install packaging -- upgrade. It should be pip install packaging --upgrade. pip install packaging -- upgrade Default Value The default value for tuned_checkpoint is set inside the run_tuning function. It would be better to set it in the init_params function to make the default value more explicit. } Package Version Ensure that the specified package versions are compatible with each other and with the rest of the project dependencies. auto-tound==0.8.0 compressed-tensors lm-eval setuptools_scm torchao==0.12.0 triton==3.3.1

[PRAgent4INC]

PR Code Suggestions ✨

Explore these optional code suggestions:

Category	Suggestion	Impact
Possible issue	Correct package name typo Correct the typo in the package name auto-tound to auto-round. examples/3.x_api/pytorch/multimodal-modeling/quantization/auto_round/llama4/requirements.txt [1] -auto-tound==0.8.0 +auto-round==0.8.0 Suggestion importance[1-10]: 8 __ Why: Correcting the typo in the package name auto-tound to auto-round is crucial for the script to function correctly, as it ensures the correct package is installed.	Medium
General	Fix space in command Correct the space between packaging and --upgrade. examples/3.x_api/pytorch/multimodal-modeling/quantization/auto_round/llama4/setup.sh [3] -pip install packaging -- upgrade +pip install packaging --upgrade Suggestion importance[1-10]: 6 __ Why: The space between packaging and --upgrade is incorrect and should be fixed for proper execution.	Low
	Verify branch existence Verify that the branch mxfp4 exists and is the correct one for the project. examples/3.x_api/pytorch/multimodal-modeling/quantization/auto_round/llama4/setup.sh [5] +git clone -b mxfp4 https://github.com/mengniwang95/vllm-fork.git - Suggestion importance[1-10]: 5 __ Why: Verifying the branch existence is important but does not directly impact the functionality of the script. It is more of a maintenance task.	Low