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sglang-qwen3-next-optimization

Provides audits and generates workflows for Qwen3-Next optimizations across multiple engine versions.

721|65|Updated Apr 1, 2026
Search Tags:#optimization#mamba#fp8#pr-diff#gdn#nvfp4#qwen3-next
One-click install
npx skills add https://github.com/BBuf/AI-Infra-Auto-Driven-SKILLS --skill sglang-qwen3-next-optimization
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sglang-qwen3-next-optimization
Source: https://github.com/BBuf/AI-Infra-Auto-Driven-SKILLS/tree/main/skills/model-optimization/sglang/sglang-qwen3-next-optimization
Command: npx skills add https://github.com/BBuf/AI-Infra-Auto-Driven-SKILLS --skill sglang-qwen3-next-optimization

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

PR-diff-guided workflow to audit, document, and reason about Qwen3-Next family optimizations across base Qwen3-Next, MTP, Coder-Next, and related runtimes in SGLang, enabling reproducible improvements and clear justification.

Core Features & Use Cases

  • Structured PR-diff dossier for Qwen3-Next optimization, NEXTN, Eagle3, and MTP compatibility.
  • Guidance for GDN/Mamba state, FP8/NVFP4 loading, CPU offload, and kernel fusion strategies.
  • Validation planning, risk assessment, and lane definitions to track changes across PRs.

Quick Start

Follow this playbook to audit and reproduce Qwen3-Next optimizations from the base codebase using the associated PR history.

Frequently Asked Questions about sglang-qwen3-next-optimization

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I optimize Qwen3-Next models using PR-diffs in SGLang?▼

To optimize Qwen3-Next models in SGLang, apply structured PR-diff guidance to audit and document changes across base models, MTP, and runtimes, enabling reproducible improvements and clear justification.

What is the best way to configure MTP and Eagle3 for Qwen3-Next?▼

Configuring MTP and Eagle3 for Qwen3-Next involves using a PR-diff dossier to guide NEXTN compatibility, kernel fusion strategies, and explicit validation lanes to track changes accurately.

How do I load FP8 and NVFP4 models for Qwen3-Next optimization?▼

Loading FP8 and NVFP4 models for Qwen3-Next optimization requires following structured PR-diff guidance to manage GDN/Mamba state, CPU offload configurations, and kernel fusion strategies.

Does SGLang support Qwen3-Next Coder and NEXTN architectures?▼

Yes, SGLang supports Qwen3-Next Coder and NEXTN architectures by providing PR-diff guided workflows to audit, document, and reason about optimizations with validation planning and risk assessment.

What are the limitations when applying kernel fusion to Qwen3-Next?▼

Limitations when applying kernel fusion to Qwen3-Next include managing GDN/Mamba state complexities and validation risks, which require explicit validation lanes and risk notes in the PR-diff dossier.

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