BBuf/vllm-gpt-oss-optimization
skills/model-optimization/vllm/vllm-gpt-oss-optimization/SKILL.md
PR-backed optimization manual for GPT-OSS in vLLM. Use when an engineer needs to audit, debug, extend, or document OpenAI GPT-OSS MoE, MXFP4/FP8 quantization, DP/EP, reasoning parser, tool calling, and Eagle/spec decode.
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SKILL.md
- name:
- vllm-gpt-oss-optimization
- description:
- PR-backed optimization manual for GPT-OSS in vLLM. Use when an engineer needs to audit, debug, extend, or document OpenAI GPT-OSS MoE, MXFP4/FP8 quantization, DP/EP, reasoning parser, tool calling, and Eagle/spec decode.
vLLM GPT-OSS Optimization
Overview
This skill covers OpenAI GPT-OSS MoE, MXFP4/FP8 quantization, DP/EP, reasoning parser, tool calling, and Eagle/spec decode.
Evidence snapshot:
- vLLM mainline checked around
0f7be0f2f76814f80f9091220a5fbbb53912ad00 - Canonical PR notes:
references/pr-history.md - History mirrors:
model-pr-optimization-history/vllm/gpt-oss/README.zh.mdandREADME.en.md
Non-Negotiable Evidence Rule
Use skills/model-optimization/model-pr-diff-dossier/SKILL.md as the production bar.
Every PR cited for this family must be based on diff reading, not only PR titles.
Runtime Surfaces
vllm/vllm/model_executor/models/gpt_oss.py
Current Main Summary
- GPT-OSS is a flagship MoE family in vLLM.
- Quantization, expert-parallel topology, and reasoning/tool parser behavior all evolved quickly and need per-PR tracking.
Key Landed PRs
- #22327
Add GPT-OSS model code and config: Initial GPT-OSS landing in vLLM. - #23819
Support DP+EP for GPT-OSS with FlashInfer trtllm-gen MoE: Opened large-scale GPT-OSS serving topologies. - #25246
Enable Eagle3 speculative decoding for GPT-OSS model: Added draft-model acceleration. - #25515
Structure_Tag support for gpt-oss tool-call in cot: Improved tool calling in reasoning-mode outputs. - #30647
Eliminate padding and slicing op for GPT-OSS with Flashinfer MXFP4 MXFP8 MoE: Targeted the hot MXFP4/MXFP8 path for throughput.
Validation Lanes
- Startup on the current vLLM mainline checkpoint.
- Re-run the parser, quantization, MTP, or multimodal lane that matches this family.
- Re-check tests after touching loader or processor code.
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