vllm-gpt-oss-optimization
CommunityPR-backed GPT-OSS optimization for vLLM
AuthorBBuf
Version1.0.0
Installs0
System Documentation
What problem does it solve?
GPT-OSS optimization in vLLM is enabled through a PR-driven manual that supports auditing, debugging, extending, and documenting GPT-OSS MoE, MXFP4/FP8 quantization, DP/EP, reasoning parser, tool calling, and Eagle spec decode.
Core Features & Use Cases
- PR-diff driven optimization workflow for GPT-OSS in vLLM, enabling rapid tracking of changes across PRs.
- Centralized evidence and history linkage for landed PRs, diff dossiers, and model-pr-diff-dossier references.
- Validation guidance and runtime surfaces to ensure changes in MoE, quantization, and tool parsing behave correctly.
Quick Start
Audit a GPT-OSS PR in vLLM by following the diff-dossier workflow to document changes and validate their impact on MoE, quantization, and tooling.
Dependency Matrix
Required Modules
None requiredComponents
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: vllm-gpt-oss-optimization Download link: https://github.com/BBuf/AI-Infra-Auto-Driven-SKILLS/archive/main.zip#vllm-gpt-oss-optimization Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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