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.