sglang-moss-vl-optimization

Community

Audit Moss-VL optimization for SGLang multimodal.

AuthorBBuf
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Moss-VL optimization in SGLang provides a structured, auditable approach to validate and extend native Moss-VL multimodal runtime support, ensuring that recent PR changes align with runtime expectations and do not regress cross-attention, encoder behavior, or prefill flows.

Core Features & Use Cases

  • PR-backed Moss-VL optimization workflow for SGLang, including evidence tracking in references/pr-history.md.
  • Validation of critical Moss-VL components such as the Python runtime module, multimodal processors, and encoder interactions.
  • Guidance for maintaining production-grade guardrails during Moss-VL integration and extension.

Quick Start

Audit the Moss-VL optimization workflow against the current main branch to confirm encoder-prefix handling, cross-attention masking, and prefill behavior.

Dependency Matrix

Required Modules

None required

Components

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-moss-vl-optimization
Download link: https://github.com/BBuf/AI-Infra-Auto-Driven-SKILLS/archive/main.zip#sglang-moss-vl-optimization

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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