npx skills add https://github.com/railwayapp/railway-skills
nvidia/model-optimizer · Archived
deployment
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…
Installation
npx skills add https://github.com/nvidia/model-optimizer
Stronger alternatives
This repository is archived — consider an actively maintained alternative.
Query and browse evaluation results stored in MLflow. Use when the user wants to look up runs b…
12 installsUse when the user asks to "quantize a model", "run PTQ", "post-training quantization", "NVFP4 q…
12 installsUse when the user asks to find, search for, or optimize the best quantization recipe for a mode…
11 installsRun, monitor, analyze, and debug LLM evaluations via nemo-evaluator-launcher. Covers running ev…
11 installsSimilar popular skills
Related neighbors and high-traction skills in the same topics — useful to compare before installing.
Performs comprehensive preflight validation of Bicep deployments to Azure, including template s…
9.6K installsConfigures CI/CD pipelines using AWS CodePipeline, CodeBuild, CodeDeploy, CodeConnections, and …
3.6K installsAccess protected Vercel URLs with vercel curl or a short-lived OIDC token
2.3K installsThis skill should be used when the user wants to manage Railway deployments, view logs, or debu…
1.1K installsExecute mcloud deployments commands to list deployments, retrieve deployment details, and fetch…
10 installsAlso in this package
Other skills from nvidia/model-optimizer · top by installs.
npx skills add https://github.com/nvidia/model-optimizer
More details
Agent compatibility
Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.
Also listed on
Alternate registries and mirrors of this skill.
Repository health
main
History
- First seen on skills.sh
- First recorded snapshot · 8 installs