vllm-deepseek-v4-optimization

Audits and documents DeepSeek V4 PRs (#40760, #40811, #40806 progress 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-deepseek-v4-optimization
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: vllm-deepseek-v4-optimization
Source: https://github.com/BBuf/AI-Infra-Auto-Driven-SKILLS/tree/main/skills/model-optimization/vllm/vllm-deepseek-v4-optimization
Command: npx skills add https://github.com/BBuf/AI-Infra-Auto-Driven-SKILLS --skill vllm-deepseek-v4-optimization

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

DeepSeek V4 Open Radar tracking and documentation for vLLM integration, providing an auditable reference of open PRs and evidence to guide engineering decisions.

Core Features & Use Cases

  • PR-diff dossier tracking for DeepSeek V4 in vLLM, consolidating diffs and PR notes into a single source of truth.
  • Evidence history curation and status validation across open PRs (#40760, #40811, #40806) to inform readiness planning.
  • Reference-guided decision support for engineering teams to plan merges, tests, and documentation updates.

Quick Start

Review the open DeepSeek V4 PRs and the references/pr-history.md to assess readiness and plan the next integration steps.

Frequently Asked Questions about vllm-deepseek-v4-optimization

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

FAQPage Schema
How do I track DeepSeek V4 integration progress in vLLM?

DeepSeek V4 integration progress in vLLM is tracked by auditing open radar progress, consolidating PR diffs, and curating evidence history into a structured dossier to guide engineering readiness decisions.

What is a PR diff dossier for vLLM model integration?

A PR diff dossier for vLLM integration consolidates pull request diffs and notes into a single source of truth, providing a structured evidence trail to assess non-merged features and production readiness.

How do I assess production readiness for open DeepSeek V4 pull requests?

Assess production readiness for open DeepSeek V4 pull requests by reviewing curated evidence history and status validation across specific PRs to inform merge planning, testing, and documentation updates.

Does this approach document non-merged features in vLLM?

Yes, this approach documents non-merged features in vLLM by satisfying requirements to track open PRs, providing a structured evidence trail and reference materials to guide ongoing development and review.

What are the limitations of auditing vLLM integration via open radar tracking?

The limitation of auditing vLLM integration via open radar tracking is that it only documents open, non-merged PRs and related diffs, requiring manual review of references to plan actual merge and test execution.