vllm-ernie45-optimization

Apply PR-backed optimizations to Ernie4.5 variants in vLLM.

721|65|Updated Apr 1, 2026
One-click install
npx skills add https://github.com/BBuf/AI-Infra-Auto-Driven-SKILLS --skill vllm-ernie45-optimization
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: vllm-ernie45-optimization
Source: https://github.com/BBuf/AI-Infra-Auto-Driven-SKILLS/tree/main/skills/model-optimization/vllm/vllm-ernie45-optimization
Command: npx skills add https://github.com/BBuf/AI-Infra-Auto-Driven-SKILLS --skill vllm-ernie45-optimization

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and scripts (resource) components.

What problem does it solve?

PR-backed optimization manual for Ernie4.5 / Ernie4.5-VL in vLLM. Use when Codex needs to audit, debug, extend, or document Baidu Ernie4.5 text/VL/MoE runtime, vision rotary, and long-input stability.

Core Features & Use Cases

  • PR-backed optimization workflow across dense, MoE, and VL paths for Ernie4.5 in vLLM.
  • Evidence-based change tracking with canonical PR histories and diffs to guide reproducible improvements.
  • Validation lanes and reference histories to ensure changes are production-ready and well-documented.

Quick Start

Review the latest vLLM Ernie4.5 optimization PRs and apply the recommended diffs to relevant model files and tests.

Frequently Asked Questions about vllm-ernie45-optimization

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

FAQPage Schema
How do I optimize Ernie4.5 models running on vLLM?

To optimize Ernie4.5 on vLLM, apply recommended PR diffs to model files and tests. This workflow consolidates improvements across dense, MoE, and VL paths, ensuring runtime changes are production-ready and reproducible.

What is the best way to audit vLLM PR diffs for Ernie4.5?

The best way to audit vLLM PR diffs for Ernie4.5 is using an evidence-based change tracking workflow. It validates canonical PR histories and diffs against runtime surfaces, ensuring all integration and debugging improvements are well-documented and reproducible.

Does this vLLM optimization workflow support Ernie4.5 multimodal and MoE variants?

Yes, the vLLM optimization workflow supports Ernie4.5 multimodal and MoE variants. It explicitly applies optimization paths across dense, MoE, and VL models, validating vision rotary and long-input stability workloads for comprehensive model coverage.

How do I validate long-input stability for Ernie4.5-VL in vLLM?

Validate long-input stability for Ernie4.5-VL in vLLM by running validation lanes documented in the skill's references. These lanes apply PR-backed diffs to test runtime surfaces, ensuring performance validation is reproducible before production deployment.

Why do I need PR histories to debug Ernie4.5 runtime issues on vLLM?

You need PR histories to debug Ernie4.5 runtime issues on vLLM because they provide an audit trail of evidence-based changes. Tracking canonical diffs ensures that debugging and extensions are grounded in validated improvements rather than ad hoc modifications.