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NVIDIA/Model-OptimizerSkill

Serve a quantized or unquantized LLM checkpoint as an OpenAI-compatible API endpoint using vLLM, SGLang, or TRT-LLM. Use when user says "deploy model", "serve model", "start vLLM server", "launch SGLang", "TRT-LLM deploy", "AutoDeploy", "benchmark throughput", "serve checkpoint", or needs an inference endpoint from a HuggingFace or ModelOpt-quantized checkpoint. Do NOT use for quantizing models (use ptq) or evaluating accuracy (use evaluation).

Scanned · 2 to knowSkillSource: GitHubContains scripts
5,374 stars +87 this week Updated 16d ago License Apache-2.0 Context ≈115 tokens always loaded
77popular

Why this score

Stars19/35
Usage (forks)8/15
Upkeep25/25
License15/15
Owner history10/10

This repo hosts 10 skills, so its 5,374 stars are split between them (about 537 each) for scoring.

Popularity score: 77/100 from public GitHub signals only. It shows how widely used and maintained this is, not how well it works. Not included yet: the fake-star check. The security scan is shown separately and doesn't change the score. How we rank

Security

Scanned Oct 21, 2026 at commit f1d68fd4dd50, with Cisco's open-source skill-scanner.

What its code does:

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan

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