NVIDIA/Model-Optimizer/accessing-mlflow A
NVIDIA/skills
Agent Skill
Active
Query and browse evaluation results stored in MLflow.
NVIDIA/Model-Optimizer/deployment
NVIDIA/skills/skills/Model-Optimizer/deployment
Agent Skill
Active
Apache-2.0
Serve a quantized or unquantized LLM checkpoint as an OpenAI-compatible API endpoint using vLLM, SGLang, or TRT-LLM.
A Quality 85/100
★ 2.9k stars
Updated today
Python
Installation
Install this skill (Claude Code)
# Clone and copy the skill into your project
git clone https://github.com/NVIDIA/skills.git
mkdir -p .claude/skills
cp -r skills/skills/Model-Optimizer/deployment .claude/skills/
# Or for personal use: ~/.claude/skills/Quality score breakdown
Transparent heuristic — same formula for every entry. Total 85/100.
GitHub stars (log scale)35/40
Maintenance activity25/25
License present10/10
Official project0/10
Not archived5/5
Meaningful description5/5
Repo topics set5/5
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NVIDIA/Model-Optimizer/debug A
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Run commands inside a remote Docker container via the file-based command relay (tools/debugger).
NVIDIA/Model-Optimizer/evaluation A
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Evaluates accuracy of quantized or unquantized LLMs using NeMo Evaluator Launcher (NEL).
NVIDIA/Model-Optimizer/launching-evals A
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Run, monitor, analyze, and debug LLM evaluations via nemo-evaluator-launcher.
NVIDIA/Model-Optimizer/monitor A
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Monitor submitted jobs (PTQ, evaluation, deployment) on SLURM clusters.
NVIDIA/Model-Optimizer/ptq A
NVIDIA/skills
Agent Skill
Active
This skill should be used when the user asks to "quantize a model", "run PTQ", "post-training quantization", "NVFP4 quantization", "FP8 quantization", "INT8 quantization", "INT4 AW...