sglang-nemotron-super-optimization
CommunityPR-backed optimization for Nemotron Super.
AuthorBBuf
Version1.0.0
Installs0
System Documentation
What problem does it solve?
PR-backed optimization manual provides canonical guidance to audit, extend, and document Nemotron Super and Nano Hybrid optimizations within SGLang, ensuring diffs are production-ready and evidence-backed.
Core Features & Use Cases
- PR-diff dossier-guided optimization for Nemotron Super family, including NemotronH, Nemotron Nano VL, NVFP4, and MoE variants.
- Evidence-driven validation with runtime surface mappings and change-history references to ensure traceability across PRs.
- Use cases include auditing model changes, extending hybrid architectures, and validating performance and safety improvements in CI pipelines.
Quick Start
Begin by reviewing the non-negotiable evidence rule and the PR history reference in references/pr-history.md to start applying the canonical Nemotron optimization patterns.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: sglang-nemotron-super-optimization Download link: https://github.com/BBuf/AI-Infra-Auto-Driven-SKILLS/archive/main.zip#sglang-nemotron-super-optimization Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.