ModelOpt Post-Training Quantization

Produce a quantized checkpoint from a pretrained model. Read examples/hf_ptq/README.md first — it has the support matrix, CLI flags, and accuracy guidance.

Use quant-recipe-search for multi-candidate recipe exploration or optimization. Use this skill for each selected recipe's PTQ run.

Step 1 — Environment

Use the common skill's environment-setup.md and workspace-management.md. After completing them you should know:

• ModelOpt source is available
• Local or remote (+ cluster config if remote)
• SLURM / Docker+GPU / bare GPU
• Launcher available?
• Which workspace to use

Step 2 — Is the model supported?