fix(scripts): make submit-bench issue-first

.env.example

@@ -38,11 +38,16 @@
 # GPU selection
 # -----------------------------------------------------------------------------
 
-# Which GPUs to expose to docker. Single-card composes use just `0`,
-# dual-card composes use `0,1`. The compose files set this themselves;
-# override here if your physical layout differs (e.g. you run dual-card
-# on cards 2,3).
-# CUDA_VISIBLE_DEVICES=0,1
+# Which GPU(s) to expose to docker.
+#
+# scripts/switch.sh auto-selects the largest eligible card for TP=1 vLLM
+# composes. Override with CLUB3090_GPU when you know which physical GPU should
+# run a single-card compose (for example, a 24 GB card beside a 16 GB card).
+# CLUB3090_GPU=1
+#
+# For direct `docker compose ... up` runs, or TP>=2 non-default layouts, set
+# NVIDIA_VISIBLE_DEVICES explicitly. Use comma-separated physical indices.
+# NVIDIA_VISIBLE_DEVICES=0,1
 
 
 # -----------------------------------------------------------------------------

.github/PULL_REQUEST_TEMPLATE/bench-row.md

@@ -0,0 +1,20 @@
+## Rig bench submission
+
+> ⚠ Most bench submissions go through an issue (see `CONTRIBUTING.md` "Submitting your bench").
+> This PR template is for contributors who explicitly chose the direct-PR path.
+> The maintainer may redirect to an issue thread before merge.
+
+<!-- This PR was auto-generated by `bash scripts/submit-bench.sh --auto-submit --as-pr --tag <TAG>`. -->
+<!-- Review the row below; the PR reviewer may move it within the target section. -->
+
+### New row
+
+<!-- The generated BENCHMARKS.md row goes here -->
+
+### Rig
+
+<!-- Output of `bash scripts/report.sh` (redacted) -->
+
+### Full results
+
+See `results/rebench/<TAG>/REPORT.md` for the full per-phase breakdown.

CHANGELOG.md

@@ -16,6 +16,42 @@ history; SemVer takes over from `v0.3.0` onward.
 
 ---
 
+## v0.5.3 — 2026-05-13
+
+
+### ✨ Features
+
+- feat(scripts): add submit-bench flow ([ef77032](https://github.com/noonghunna/club-3090/commit/ef770322f43724f612a80393f547e5da218b5bf7))
+
+
+
+[Pin: `git checkout v0.5.3`] · [Full diff](https://github.com/noonghunna/club-3090/compare/v0.5.2...v0.5.3)
+## v0.5.2 — 2026-05-13
+
+
+### 🎯 New models + serving paths
+
+- Add hardware-aware compose preflight ([2698552](https://github.com/noonghunna/club-3090/commit/26985527f75d8da2a32a8a2f985989d5dcf9e89a))
+
+
+
+[Pin: `git checkout v0.5.2`] · [Full diff](https://github.com/noonghunna/club-3090/compare/v0.5.1...v0.5.2)
+## v0.5.1 — 2026-05-13
+
+
+### 🐛 Bug fixes
+
+- fix(qwen): PR #35936 overlay — sidecar pattern to resolve Genesis RO-mount conflict ([6617e1e](https://github.com/noonghunna/club-3090/commit/6617e1e090a6f52708aaf83821a92b612c4ad869))
+
+
+### 📝 Documentation
+
+- docs: clarify MODEL_DIR — second drive / HF cache / Windows-WSL ([1678ca0](https://github.com/noonghunna/club-3090/commit/1678ca0c8ba43ea09fad9073639a48337f2ff163))
+- docs(upstream): correct stale vllm#40807 row + add #40798/#42215 row ([14ffe45](https://github.com/noonghunna/club-3090/commit/14ffe45667fb0aa292839be05ae3ad0d139d3a04))
+
+
+
+[Pin: `git checkout v0.5.1`] · [Full diff](https://github.com/noonghunna/club-3090/compare/v0.5.0...v0.5.1)
 ## v0.5.0 — 2026-05-12
 
 

CONTRIBUTING.md

@@ -45,6 +45,40 @@ Two GitHub channels, two different shapes of conversation. Picking the right one
 
 ---
 
+## Submitting your bench
+
+The matrix is hand-curated — the canonical path is to file an **issue** with your rig + numbers; we'll review, ask clarifying questions, and integrate.
+
+After running `bash scripts/rebench-full.sh`, generate a paste-ready row:
+
+```bash
+bash scripts/submit-bench.sh --tag <your-tag>
+```
+
+The script writes `results/rebench/<tag>/BENCHMARKS-row.md`. To submit:
+
+### Path A — Auto-issue (recommended, requires `gh auth login`)
+
+```bash
+bash scripts/submit-bench.sh --tag <your-tag> --auto-submit
+```
+
+Opens an issue via `gh issue create` with your rig + row pre-filled.
+
+### Path B — Manual issue (no tools beyond browser)
+
+Open https://github.com/noonghunna/club-3090/issues/new?template=numbers-from-your-rig.yml and paste the row + your `rig.txt` into the body.
+
+### Path C — Direct PR (advanced)
+
+```bash
+bash scripts/submit-bench.sh --tag <your-tag> --auto-submit --as-pr
+```
+
+For contributors who know the `BENCHMARKS.md` section structure and want to propose the exact row. The maintainer may still redirect to an issue thread for context-gathering before merge — direct PRs aren't a fast-path bypass.
+
+---
+
 ## Process for non-trivial changes
 
 1. **Open an issue first** for anything bigger than a typo fix or a one-line measurement contribution. We'll either align on shape or explain why we'd land it differently — saves you a wasted afternoon.

docs/HARDWARE.md

@@ -33,6 +33,22 @@ The recipes are written against 3090 specifically but should work on:
 
 **Won't work:** anything with <20 GB VRAM (3060, 3070, stock 3080, 3080 Ti). The 27B model in INT4 is ~18 GB — KV pool + activations push past 24 GB on smaller cards even with aggressive quantization. **Modded 20 GB 3080s do work** (see row above) — the mod gives them enough headroom for the 27B + TQ K8V4 KV path on TP=2, with `mem-util=0.82` to absorb cudagraph profiling overhead.
 
+### Mismatched / heterogeneous GPUs
+
+`scripts/switch.sh` reads hardware metadata from the vLLM compose headers before starting Docker. The preflight checks required GPU count, per-GPU VRAM, tensor parallel size, and any hard SM floor.
+
+For TP=1 vLLM composes, `switch.sh` auto-selects the largest eligible GPU and exports it through `NVIDIA_VISIBLE_DEVICES`. On a mixed 16 GB + 24 GB rig, `bash scripts/switch.sh vllm/default` should pick the 24 GB card instead of trying to boot on GPU 0 blindly.
+
+Overrides:
+
+```bash
+CLUB3090_GPU=1 bash scripts/switch.sh vllm/default
+NVIDIA_VISIBLE_DEVICES=2,3 bash scripts/switch.sh vllm/dual
+bash scripts/switch.sh --force vllm/gemma-mtp-tp1
+```
+
+Use `--force` only when you are intentionally testing an unsupported combo. Example: `vllm/gemma-mtp-tp1` is now preflight-blocked on a 24 GB 3090 because the compose is preserved for 32 GB / newer-SM single-card rigs.
+
 ### Note for sub-24 GB cards
 
 On 20 GB cards (modded 3080) the cudagraph-profiling overhead is a meaningful slice of available VRAM. Drop `--gpu-memory-utilization` to **0.82** (vs shipped 0.95 for 24 GB). vLLM nightly's `gpu_worker.py` reports the equivalent effective KV size in the boot log; tune to keep activation headroom for the ~15K tool-prefill peak (verify-full check 8). Credit: [@troymroberts](https://github.com/troymroberts).

models/gemma-4-31b/vllm/compose/dual/awq.yml

@@ -58,6 +58,10 @@
 #   - max-num-seqs default 4 (3dluvr's 1 is single-stream-only); override
 #     MAX_NUM_SEQS=1 for max-context single-stream like 3dluvr.
 # ===========================================================================
+# Hardware metadata (parsed by scripts/preflight.sh):
+# Requires-min-vram-gb: 24
+# Requires-min-gpu-count: 2
+# Tensor-parallel: 2
 services:
   vllm-gemma-4-31b-awq:
     # Latest nightly that contains PR #41745 (Gemma 4 MTP). AWQ doesn't need
@@ -72,6 +76,7 @@ services:
       - ../../cache/torch_compile_awq:/root/.cache/vllm/torch_compile_cache
       - ../../cache/triton_awq:/root/.triton/cache
     environment:
+      - NVIDIA_VISIBLE_DEVICES=${NVIDIA_VISIBLE_DEVICES:-all}
       - HUGGING_FACE_HUB_TOKEN=${HF_TOKEN:-}
       - VLLM_WORKER_MULTIPROC_METHOD=spawn
       - NCCL_CUMEM_ENABLE=0

models/gemma-4-31b/vllm/compose/dual/bf16.yml

@@ -89,6 +89,10 @@
 #   gh api repos/vllm-project/vllm/pulls/42006 --jq '.state, .merged_at'
 #   gh api repos/vllm-project/vllm/pulls/41991 --jq '.state, .merged_at'
 # ===========================================================================
+# Hardware metadata (parsed by scripts/preflight.sh):
+# Requires-min-vram-gb: 24
+# Requires-min-gpu-count: 2
+# Tensor-parallel: 2
 services:
   vllm-gemma-4-31b-mtp-bf16:
     image: vllm/vllm-openai:nightly-1acd67a795ebccdf9b9db7697ae9082058301657
@@ -118,6 +122,7 @@ services:
       - ../../patches/vllm-gemma4-tool-parser-fixes/tool_parsers/gemma4_tool_parser.py:/usr/local/lib/python3.12/dist-packages/vllm/tool_parsers/gemma4_tool_parser.py:ro
       # --------------------------------------------------------------------
     environment:
+      - NVIDIA_VISIBLE_DEVICES=${NVIDIA_VISIBLE_DEVICES:-all}
       - HUGGING_FACE_HUB_TOKEN=${HF_TOKEN:-}
       - VLLM_WORKER_MULTIPROC_METHOD=spawn
       - NCCL_CUMEM_ENABLE=0

models/gemma-4-31b/vllm/compose/dual/dflash-int8.yml

@@ -93,6 +93,10 @@
 #   1. PR #41703 z-lab DFlash drafter — see ../../patches/vllm-gemma4-dflash/README
 #   2. PR #40391 per-token-head — see ../../patches/vllm-gemma4-dflash-int8/README
 # ===========================================================================
+# Hardware metadata (parsed by scripts/preflight.sh):
+# Requires-min-vram-gb: 24
+# Requires-min-gpu-count: 2
+# Tensor-parallel: 2
 services:
   vllm-gemma-4-31b-dflash-int8:
     # SAME pin as dual-dflash.yml — DFlash overlay was rebased to e47c98ef.
@@ -139,6 +143,7 @@ services:
       - ../../patches/vllm-gemma4-dflash-int8/v1/worker/kv_cache_shape_utils.py:/usr/local/lib/python3.12/dist-packages/vllm/v1/worker/kv_cache_shape_utils.py:ro
       # --------------------------------------------------------------------
     environment:
+      - NVIDIA_VISIBLE_DEVICES=${NVIDIA_VISIBLE_DEVICES:-all}
       - HUGGING_FACE_HUB_TOKEN=${HF_TOKEN:-}
       - VLLM_WORKER_MULTIPROC_METHOD=spawn
       - NCCL_CUMEM_ENABLE=0

models/gemma-4-31b/vllm/compose/dual/dflash.yml

@@ -65,6 +65,10 @@
 #   - default (auto = bfloat16) → sidesteps all the above.
 # Smaller KV pool than fp8 would give but it's the only Ampere-shippable.
 # ===========================================================================
+# Hardware metadata (parsed by scripts/preflight.sh):
+# Requires-min-vram-gb: 24
+# Requires-min-gpu-count: 2
+# Tensor-parallel: 2
 services:
   vllm-gemma-4-31b-dflash:
     # Nightly bumped to 2026-05-06 to match rebase target proximity (Codex
@@ -104,6 +108,7 @@ services:
       - ../../patches/vllm-gemma4-dflash/v1/worker/gpu_model_runner.py:/usr/local/lib/python3.12/dist-packages/vllm/v1/worker/gpu_model_runner.py:ro
       # --------------------------------------------------------------------
     environment:
+      - NVIDIA_VISIBLE_DEVICES=${NVIDIA_VISIBLE_DEVICES:-all}
       - HUGGING_FACE_HUB_TOKEN=${HF_TOKEN:-}
       - VLLM_WORKER_MULTIPROC_METHOD=spawn
       - NCCL_CUMEM_ENABLE=0

models/gemma-4-31b/vllm/compose/dual/docker-compose.yml

@@ -48,6 +48,10 @@
 #   - default (auto = bfloat16) → sidesteps all fp8 kernel paths
 # Smaller KV pool than fp8 but at 32K test ctx that's not the bottleneck.
 # ===========================================================================
+# Hardware metadata (parsed by scripts/preflight.sh):
+# Requires-min-vram-gb: 24
+# Requires-min-gpu-count: 2
+# Tensor-parallel: 2
 services:
   vllm-gemma-4-31b-mtp:
     image: vllm/vllm-openai:nightly-1acd67a795ebccdf9b9db7697ae9082058301657
@@ -63,6 +67,7 @@ services:
       - ../../cache/triton:/root/.triton/cache
       # PR #41745 overlay dropped 2026-05-08: merged upstream + nightly contains it.
     environment:
+      - NVIDIA_VISIBLE_DEVICES=${NVIDIA_VISIBLE_DEVICES:-all}
       - HUGGING_FACE_HUB_TOKEN=${HF_TOKEN:-}
       - VLLM_WORKER_MULTIPROC_METHOD=spawn
       - NCCL_CUMEM_ENABLE=0

models/gemma-4-31b/vllm/compose/dual/int8-tq3.yml

@@ -177,6 +177,11 @@
 #   gh api repos/vllm-project/vllm/pulls/42006 --jq '.state, .merged_at'
 #   gh api repos/vllm-project/vllm/pulls/41991 --jq '.state, .merged_at'
 # ===========================================================================
+# Hardware metadata (parsed by scripts/preflight.sh):
+# Requires-min-vram-gb: 24
+# Requires-min-gpu-count: 2
+# Tensor-parallel: 2
+# Requires-sm: 9.0+
 services:
   vllm-gemma-4-31b-mtp-int8-tq3:
     image: vllm/vllm-openai:nightly-1acd67a795ebccdf9b9db7697ae9082058301657
@@ -213,6 +218,7 @@ services:
       - ../../patches/vllm-gemma4-tool-parser-fixes/tool_parsers/gemma4_tool_parser.py:/usr/local/lib/python3.12/dist-packages/vllm/tool_parsers/gemma4_tool_parser.py:ro
       # --------------------------------------------------------------------
     environment:
+      - NVIDIA_VISIBLE_DEVICES=${NVIDIA_VISIBLE_DEVICES:-all}
       - HUGGING_FACE_HUB_TOKEN=${HF_TOKEN:-}
       - VLLM_WORKER_MULTIPROC_METHOD=spawn
       - NCCL_CUMEM_ENABLE=0

models/gemma-4-31b/vllm/compose/dual/int8.yml

@@ -89,6 +89,10 @@
 #   gh api repos/vllm-project/vllm/pulls/42006 --jq '.state, .merged_at'
 #   gh api repos/vllm-project/vllm/pulls/41991 --jq '.state, .merged_at'
 # ===========================================================================
+# Hardware metadata (parsed by scripts/preflight.sh):
+# Requires-min-vram-gb: 24
+# Requires-min-gpu-count: 2
+# Tensor-parallel: 2
 services:
   vllm-gemma-4-31b-mtp-int8:
     image: vllm/vllm-openai:nightly-1acd67a795ebccdf9b9db7697ae9082058301657
@@ -118,6 +122,7 @@ services:
       - ../../patches/vllm-gemma4-tool-parser-fixes/tool_parsers/gemma4_tool_parser.py:/usr/local/lib/python3.12/dist-packages/vllm/tool_parsers/gemma4_tool_parser.py:ro
       # --------------------------------------------------------------------
     environment:
+      - NVIDIA_VISIBLE_DEVICES=${NVIDIA_VISIBLE_DEVICES:-all}
       - HUGGING_FACE_HUB_TOKEN=${HF_TOKEN:-}
       - VLLM_WORKER_MULTIPROC_METHOD=spawn
       - NCCL_CUMEM_ENABLE=0

models/gemma-4-31b/vllm/compose/single/docker-compose.yml

@@ -48,6 +48,11 @@
 #   - default (auto = bfloat16) → sidesteps all fp8 kernel paths
 # Smaller KV pool than fp8 but at 32K test ctx that's not the bottleneck.
 # ===========================================================================
+# Hardware metadata (parsed by scripts/preflight.sh):
+# Requires-min-vram-gb: 32
+# Requires-min-gpu-count: 1
+# Tensor-parallel: 1
+# Requires-sm: 9.0+
 services:
   vllm-gemma-4-31b-mtp-tp1:
     image: vllm/vllm-openai:nightly-1acd67a795ebccdf9b9db7697ae9082058301657
@@ -63,6 +68,7 @@ services:
       - ../../cache/triton:/root/.triton/cache
       # PR #41745 overlay dropped 2026-05-08: merged upstream + nightly contains it.
     environment:
+      - NVIDIA_VISIBLE_DEVICES=${NVIDIA_VISIBLE_DEVICES:-all}
       - HUGGING_FACE_HUB_TOKEN=${HF_TOKEN:-}
       - VLLM_WORKER_MULTIPROC_METHOD=spawn
       - NCCL_CUMEM_ENABLE=0

models/qwen3.6-27b/vllm/compose/dual/bf16.yml

@@ -20,6 +20,10 @@
 # Run:
 #   docker compose -f dual/bf16.yml up -d
 # ===========================================================================
+# Hardware metadata (parsed by scripts/preflight.sh):
+# Requires-min-vram-gb: 24
+# Requires-min-gpu-count: 2
+# Tensor-parallel: 2
 services:
   vllm-qwen36-27b-dual-bf16:
     # Same vLLM nightly as gemma-4-31b/vllm/compose/dual/bf16.yml — 2026-05-08
@@ -59,6 +63,7 @@ services:
       # https://huggingface.co/froggeric/Qwen-Fixed-Chat-Templates
       - ../../patches/froggeric-chat-template/chat_template.jinja:/etc/qwen-froggeric-chat-template.jinja:ro
     environment:
+      - NVIDIA_VISIBLE_DEVICES=${NVIDIA_VISIBLE_DEVICES:-all}
       - HUGGING_FACE_HUB_TOKEN=${HF_TOKEN:-}
       - VLLM_WORKER_MULTIPROC_METHOD=spawn
       - NCCL_CUMEM_ENABLE=0

models/qwen3.6-27b/vllm/compose/dual/carnice-bf16mtp.yml

@@ -48,6 +48,10 @@
 #   cd <repo>/models/qwen3.6-27b/vllm/compose
 #   docker compose -f dual/carnice-bf16mtp.yml up -d
 # ===========================================================================
+# Hardware metadata (parsed by scripts/preflight.sh):
+# Requires-min-vram-gb: 24
+# Requires-min-gpu-count: 2
+# Tensor-parallel: 2
 services:
   vllm-carnice-bf16mtp:
     image: vllm/vllm-openai:nightly-1acd67a795ebccdf9b9db7697ae9082058301657
@@ -82,6 +86,7 @@ services:
       - ../../patches/vllm-pr35936-required-fallback/vllm/entrypoints/openai/engine/serving.py:/etc/club3090/pr35936-engine-serving.py:ro
       - ../../patches/vllm-pr35936-required-fallback/install.sh:/etc/club3090/install-pr35936.sh:ro
     environment:
+      - NVIDIA_VISIBLE_DEVICES=${NVIDIA_VISIBLE_DEVICES:-all}
       - HUGGING_FACE_HUB_TOKEN=${HF_TOKEN:-}
       - VLLM_WORKER_MULTIPROC_METHOD=spawn
       # PCIe-only stack — disable NCCL features that assume NVLink.

models/qwen3.6-27b/vllm/compose/dual/dflash-noviz.yml

@@ -43,6 +43,10 @@
 #   cd <repo>/models/qwen3.6-27b/vllm/compose
 #   docker compose -f dual/dflash-noviz.yml up -d
 # ===========================================================================
+# Hardware metadata (parsed by scripts/preflight.sh):
+# Requires-min-vram-gb: 24
+# Requires-min-gpu-count: 2
+# Tensor-parallel: 2
 services:
   vllm-qwen36-27b-dual-dflash:
     image: vllm/vllm-openai:nightly-1acd67a795ebccdf9b9db7697ae9082058301657
@@ -77,6 +81,7 @@ services:
       # https://huggingface.co/froggeric/Qwen-Fixed-Chat-Templates
       - ../../patches/froggeric-chat-template/chat_template.jinja:/etc/qwen-froggeric-chat-template.jinja:ro
     environment:
+      - NVIDIA_VISIBLE_DEVICES=${NVIDIA_VISIBLE_DEVICES:-all}
       - HUGGING_FACE_HUB_TOKEN=${HF_TOKEN:-}
       - VLLM_WORKER_MULTIPROC_METHOD=spawn
       - NCCL_CUMEM_ENABLE=0

models/qwen3.6-27b/vllm/compose/dual/dflash.yml

@@ -67,6 +67,10 @@
 #
 #   docker compose -f dual/dflash.yml up -d
 # ===========================================================================
+# Hardware metadata (parsed by scripts/preflight.sh):
+# Requires-min-vram-gb: 24
+# Requires-min-gpu-count: 2
+# Tensor-parallel: 2
 services:
   vllm-qwen36-27b-dual-dflash:
     image: vllm/vllm-openai:nightly-1acd67a795ebccdf9b9db7697ae9082058301657
@@ -101,6 +105,7 @@ services:
       # https://huggingface.co/froggeric/Qwen-Fixed-Chat-Templates
       - ../../patches/froggeric-chat-template/chat_template.jinja:/etc/qwen-froggeric-chat-template.jinja:ro
     environment:
+      - NVIDIA_VISIBLE_DEVICES=${NVIDIA_VISIBLE_DEVICES:-all}
       - HUGGING_FACE_HUB_TOKEN=${HF_TOKEN:-}
       - VLLM_WORKER_MULTIPROC_METHOD=spawn
       - NCCL_CUMEM_ENABLE=0

models/qwen3.6-27b/vllm/compose/dual/docker-compose.yml

@@ -49,6 +49,10 @@
 #   cd <repo>/models/qwen3.6-27b/vllm/compose
 #   docker compose -f dual/docker-compose.yml up -d
 # ===========================================================================
+# Hardware metadata (parsed by scripts/preflight.sh):
+# Requires-min-vram-gb: 24
+# Requires-min-gpu-count: 2
+# Tensor-parallel: 2
 services:
   vllm-qwen36-27b-dual:
     # Tracking latest nightly intentionally — this stack uses fp8 KV (not
@@ -89,6 +93,7 @@ services:
       # https://huggingface.co/froggeric/Qwen-Fixed-Chat-Templates
       - ../../patches/froggeric-chat-template/chat_template.jinja:/etc/qwen-froggeric-chat-template.jinja:ro
     environment:
+      - NVIDIA_VISIBLE_DEVICES=${NVIDIA_VISIBLE_DEVICES:-all}
       - HUGGING_FACE_HUB_TOKEN=${HF_TOKEN:-}
       - VLLM_WORKER_MULTIPROC_METHOD=spawn
       # PCIe-only stack — disable NCCL features that assume NVLink.

models/qwen3.6-27b/vllm/compose/dual/int8.yml

@@ -20,6 +20,10 @@
 # Run:
 #   docker compose -f dual/int8.yml up -d
 # ===========================================================================
+# Hardware metadata (parsed by scripts/preflight.sh):
+# Requires-min-vram-gb: 24
+# Requires-min-gpu-count: 2
+# Tensor-parallel: 2
 services:
   vllm-qwen36-27b-dual-int8:
     # Same vLLM nightly as gemma-4-31b/vllm/compose/dual/int8.yml — 2026-05-08
@@ -59,6 +63,7 @@ services:
       # https://huggingface.co/froggeric/Qwen-Fixed-Chat-Templates
       - ../../patches/froggeric-chat-template/chat_template.jinja:/etc/qwen-froggeric-chat-template.jinja:ro
     environment:
+      - NVIDIA_VISIBLE_DEVICES=${NVIDIA_VISIBLE_DEVICES:-all}
       - HUGGING_FACE_HUB_TOKEN=${HF_TOKEN:-}
       - VLLM_WORKER_MULTIPROC_METHOD=spawn
       - NCCL_CUMEM_ENABLE=0

models/qwen3.6-27b/vllm/compose/dual/nvlink-dflash-noviz.yml

@@ -75,6 +75,10 @@
 #   cd <repo>/models/qwen3.6-27b/vllm/compose
 #   docker compose -f dual/nvlink-dflash-noviz.yml up -d
 # ===========================================================================
+# Hardware metadata (parsed by scripts/preflight.sh):
+# Requires-min-vram-gb: 24
+# Requires-min-gpu-count: 2
+# Tensor-parallel: 2
 services:
   vllm-qwen36-27b-dual-nvlink-dflash-noviz:
     image: vllm/vllm-openai:nightly-1acd67a795ebccdf9b9db7697ae9082058301657
@@ -109,6 +113,7 @@ services:
       # https://huggingface.co/froggeric/Qwen-Fixed-Chat-Templates
       - ../../patches/froggeric-chat-template/chat_template.jinja:/etc/qwen-froggeric-chat-template.jinja:ro
     environment:
+      - NVIDIA_VISIBLE_DEVICES=${NVIDIA_VISIBLE_DEVICES:-all}
       - HUGGING_FACE_HUB_TOKEN=${HF_TOKEN:-}
       - VLLM_WORKER_MULTIPROC_METHOD=spawn
       # NVLink bridge present — let NCCL use P2P (don't disable it the way

models/qwen3.6-27b/vllm/compose/dual/nvlink-dflash.yml

@@ -71,6 +71,10 @@
 #   cd <repo>/models/qwen3.6-27b/vllm/compose
 #   docker compose -f dual/nvlink-dflash.yml up -d
 # ===========================================================================
+# Hardware metadata (parsed by scripts/preflight.sh):
+# Requires-min-vram-gb: 24
+# Requires-min-gpu-count: 2
+# Tensor-parallel: 2
 services:
   vllm-qwen36-27b-dual-nvlink-dflash:
     image: vllm/vllm-openai:nightly-1acd67a795ebccdf9b9db7697ae9082058301657
@@ -105,6 +109,7 @@ services:
       # https://huggingface.co/froggeric/Qwen-Fixed-Chat-Templates
       - ../../patches/froggeric-chat-template/chat_template.jinja:/etc/qwen-froggeric-chat-template.jinja:ro
     environment:
+      - NVIDIA_VISIBLE_DEVICES=${NVIDIA_VISIBLE_DEVICES:-all}
       - HUGGING_FACE_HUB_TOKEN=${HF_TOKEN:-}
       - VLLM_WORKER_MULTIPROC_METHOD=spawn
       # NVLink bridge present — let NCCL use P2P (don't disable it the way

models/qwen3.6-27b/vllm/compose/dual/nvlink-turbo.yml

@@ -61,6 +61,10 @@
 #   cd <repo>/models/qwen3.6-27b/vllm/compose
 #   docker compose -f dual/nvlink-turbo.yml up -d
 # ===========================================================================
+# Hardware metadata (parsed by scripts/preflight.sh):
+# Requires-min-vram-gb: 24
+# Requires-min-gpu-count: 2
+# Tensor-parallel: 2
 services:
   vllm-qwen36-27b-dual-nvlink-turbo:
     image: vllm/vllm-openai:nightly-1acd67a795ebccdf9b9db7697ae9082058301657
@@ -102,6 +106,7 @@ services:
       # https://huggingface.co/froggeric/Qwen-Fixed-Chat-Templates
       - ../../patches/froggeric-chat-template/chat_template.jinja:/etc/qwen-froggeric-chat-template.jinja:ro
     environment:
+      - NVIDIA_VISIBLE_DEVICES=${NVIDIA_VISIBLE_DEVICES:-all}
       - HUGGING_FACE_HUB_TOKEN=${HF_TOKEN:-}
       - VLLM_WORKER_MULTIPROC_METHOD=spawn
       # NVLink bridge present — let NCCL use P2P (don't disable it the way

models/qwen3.6-27b/vllm/compose/dual/nvlink.yml

@@ -57,6 +57,10 @@
 #   cd <repo>/models/qwen3.6-27b/vllm/compose
 #   docker compose -f dual/nvlink.yml up -d
 # ===========================================================================
+# Hardware metadata (parsed by scripts/preflight.sh):
+# Requires-min-vram-gb: 24
+# Requires-min-gpu-count: 2
+# Tensor-parallel: 2
 services:
   vllm-qwen36-27b-dual-nvlink:
     # Tracking latest nightly intentionally — this stack uses fp8 KV (not
@@ -95,6 +99,7 @@ services:
       # https://huggingface.co/froggeric/Qwen-Fixed-Chat-Templates
       - ../../patches/froggeric-chat-template/chat_template.jinja:/etc/qwen-froggeric-chat-template.jinja:ro
     environment:
+      - NVIDIA_VISIBLE_DEVICES=${NVIDIA_VISIBLE_DEVICES:-all}
       - HUGGING_FACE_HUB_TOKEN=${HF_TOKEN:-}
       - VLLM_WORKER_MULTIPROC_METHOD=spawn
       # NVLink bridge present — let NCCL use P2P (don't disable it the way

models/qwen3.6-27b/vllm/compose/dual/qwopus-bf16mtp.yml

@@ -33,6 +33,10 @@
 #   cd <repo>/models/qwen3.6-27b/vllm/compose
 #   docker compose -f dual/qwopus-bf16mtp.yml up -d
 # ===========================================================================
+# Hardware metadata (parsed by scripts/preflight.sh):
+# Requires-min-vram-gb: 24
+# Requires-min-gpu-count: 2
+# Tensor-parallel: 2
 services:
   vllm-qwopus-bf16mtp:
     image: vllm/vllm-openai:nightly-1acd67a795ebccdf9b9db7697ae9082058301657
@@ -58,6 +62,7 @@ services:
       - ../../patches/vllm-pr35936-required-fallback/vllm/entrypoints/openai/engine/serving.py:/etc/club3090/pr35936-engine-serving.py:ro
       - ../../patches/vllm-pr35936-required-fallback/install.sh:/etc/club3090/install-pr35936.sh:ro
     environment:
+      - NVIDIA_VISIBLE_DEVICES=${NVIDIA_VISIBLE_DEVICES:-all}
       - HUGGING_FACE_HUB_TOKEN=${HF_TOKEN:-}
       - VLLM_WORKER_MULTIPROC_METHOD=spawn
       - NCCL_CUMEM_ENABLE=0

models/qwen3.6-27b/vllm/compose/dual/tq3-mtp-genesis.yml

@@ -61,6 +61,10 @@
 #   cd <repo>/models/qwen3.6-27b/vllm/compose
 #   docker compose -f dual/tq3-mtp-genesis.yml up -d
 # ===========================================================================
+# Hardware metadata (parsed by scripts/preflight.sh):
+# Requires-min-vram-gb: 24
+# Requires-min-gpu-count: 2
+# Tensor-parallel: 2
 services:
   vllm-qwen36-27b-dual-tq3-mtp-genesis:
     # Pinned to a Genesis v7.72.2 known-good vLLM nightly. The canonical
@@ -101,6 +105,7 @@ services:
       # https://huggingface.co/froggeric/Qwen-Fixed-Chat-Templates
       - ../../patches/froggeric-chat-template/chat_template.jinja:/etc/qwen-froggeric-chat-template.jinja:ro
     environment:
+      - NVIDIA_VISIBLE_DEVICES=${NVIDIA_VISIBLE_DEVICES:-all}
       - HUGGING_FACE_HUB_TOKEN=${HF_TOKEN:-}
       - VLLM_WORKER_MULTIPROC_METHOD=spawn
       - NCCL_CUMEM_ENABLE=0

models/qwen3.6-27b/vllm/compose/dual/tq3-mtp.yml

@@ -59,6 +59,10 @@
 # Run (only when all 5 upstream fixes are available):
 #   docker compose -f dual/tq3-mtp.yml up -d
 # ===========================================================================
+# Hardware metadata (parsed by scripts/preflight.sh):
+# Requires-min-vram-gb: 24
+# Requires-min-gpu-count: 2
+# Tensor-parallel: 2
 services:
   vllm-qwen36-27b-dual-int8-tq3:
     # Same vLLM nightly as gemma-4-31b/vllm/compose/dual/int8-tq3.yml — 2026-05-08
@@ -106,6 +110,7 @@ services:
       # https://huggingface.co/froggeric/Qwen-Fixed-Chat-Templates
       - ../../patches/froggeric-chat-template/chat_template.jinja:/etc/qwen-froggeric-chat-template.jinja:ro
     environment:
+      - NVIDIA_VISIBLE_DEVICES=${NVIDIA_VISIBLE_DEVICES:-all}
       - VLLM_ENFORCE_EAGER=1
       - HUGGING_FACE_HUB_TOKEN=${HF_TOKEN:-}
       - VLLM_WORKER_MULTIPROC_METHOD=spawn

models/qwen3.6-27b/vllm/compose/dual/tq3-nomtp.yml

@@ -35,6 +35,10 @@
 # To run:
 #   docker compose -f dual/tq3-nomtp.yml up -d
 # ===========================================================================
+# Hardware metadata (parsed by scripts/preflight.sh):
+# Requires-min-vram-gb: 24
+# Requires-min-gpu-count: 2
+# Tensor-parallel: 2
 services:
   vllm-qwen36-27b-dual-int8-tq3-nomtp:
     # Same vLLM nightly as gemma-4-31b/vllm/compose/dual/int8-tq3.yml — 2026-05-08
@@ -90,6 +94,7 @@ services:
       # https://huggingface.co/froggeric/Qwen-Fixed-Chat-Templates
       - ../../patches/froggeric-chat-template/chat_template.jinja:/etc/qwen-froggeric-chat-template.jinja:ro
     environment:
+      - NVIDIA_VISIBLE_DEVICES=${NVIDIA_VISIBLE_DEVICES:-all}
       - HUGGING_FACE_HUB_TOKEN=${HF_TOKEN:-}
       - VLLM_WORKER_MULTIPROC_METHOD=spawn
       - NCCL_CUMEM_ENABLE=0

models/qwen3.6-27b/vllm/compose/dual/turbo.yml

@@ -45,6 +45,10 @@
 #   cd <repo>/models/qwen3.6-27b/vllm/compose
 #   docker compose -f dual/turbo.yml up -d
 # ===========================================================================
+# Hardware metadata (parsed by scripts/preflight.sh):
+# Requires-min-vram-gb: 24
+# Requires-min-gpu-count: 2
+# Tensor-parallel: 2
 services:
   vllm-qwen36-27b-dual-turbo:
     image: vllm/vllm-openai:nightly-1acd67a795ebccdf9b9db7697ae9082058301657
@@ -86,6 +90,7 @@ services:
       # https://huggingface.co/froggeric/Qwen-Fixed-Chat-Templates
       - ../../patches/froggeric-chat-template/chat_template.jinja:/etc/qwen-froggeric-chat-template.jinja:ro
     environment:
+      - NVIDIA_VISIBLE_DEVICES=${NVIDIA_VISIBLE_DEVICES:-all}
       - HUGGING_FACE_HUB_TOKEN=${HF_TOKEN:-}
       - VLLM_WORKER_MULTIPROC_METHOD=spawn
       - NCCL_CUMEM_ENABLE=0

models/qwen3.6-27b/vllm/compose/multi4/dflash.yml

@@ -60,6 +60,10 @@
 #   cd <repo>/models/qwen3.6-27b/vllm/compose
 #   docker compose -f multi4/dflash.yml up -d
 # ===========================================================================
+# Hardware metadata (parsed by scripts/preflight.sh):
+# Requires-min-vram-gb: 24
+# Requires-min-gpu-count: 4
+# Tensor-parallel: 4
 services:
   vllm-qwen36-27b-multi4-dflash:
     image: vllm/vllm-openai:nightly-1acd67a795ebccdf9b9db7697ae9082058301657
@@ -94,6 +98,7 @@ services:
       # https://huggingface.co/froggeric/Qwen-Fixed-Chat-Templates
       - ../../patches/froggeric-chat-template/chat_template.jinja:/etc/qwen-froggeric-chat-template.jinja:ro
     environment:
+      - NVIDIA_VISIBLE_DEVICES=${NVIDIA_VISIBLE_DEVICES:-all}
       - HUGGING_FACE_HUB_TOKEN=${HF_TOKEN:-}
       - VLLM_WORKER_MULTIPROC_METHOD=spawn
       - NCCL_CUMEM_ENABLE=0

models/qwen3.6-27b/vllm/compose/multi4/docker-compose.yml

@@ -57,6 +57,10 @@
 #   cd <repo>/models/qwen3.6-27b/vllm/compose
 #   docker compose -f multi4/docker-compose.yml up -d
 # ===========================================================================
+# Hardware metadata (parsed by scripts/preflight.sh):
+# Requires-min-vram-gb: 24
+# Requires-min-gpu-count: 4
+# Tensor-parallel: 4
 services:
   vllm-qwen36-27b-multi4:
     # Tracking latest nightly intentionally — this stack uses fp8 KV (not
@@ -97,6 +101,7 @@ services:
       # https://huggingface.co/froggeric/Qwen-Fixed-Chat-Templates
       - ../../patches/froggeric-chat-template/chat_template.jinja:/etc/qwen-froggeric-chat-template.jinja:ro
     environment:
+      - NVIDIA_VISIBLE_DEVICES=${NVIDIA_VISIBLE_DEVICES:-all}
       - HUGGING_FACE_HUB_TOKEN=${HF_TOKEN:-}
       - VLLM_WORKER_MULTIPROC_METHOD=spawn
       # PCIe-only stack — disable NCCL features that assume NVLink.

models/qwen3.6-27b/vllm/compose/single/bounded-thinking.yml

@@ -129,6 +129,10 @@
 # Then send requests with structured_outputs in extra_body — see
 # docs/STRUCTURED_COT.md for client examples.
 # ===========================================================================
+# Hardware metadata (parsed by scripts/preflight.sh):
+# Requires-min-vram-gb: 24
+# Requires-min-gpu-count: 1
+# Tensor-parallel: 1
 services:
   vllm-qwen36-27b-bounded-thinking:
     image: vllm/vllm-openai:nightly-1acd67a795ebccdf9b9db7697ae9082058301657
@@ -163,6 +167,7 @@ services:
       # https://huggingface.co/froggeric/Qwen-Fixed-Chat-Templates
       - ../../patches/froggeric-chat-template/chat_template.jinja:/etc/qwen-froggeric-chat-template.jinja:ro
     environment:
+      - NVIDIA_VISIBLE_DEVICES=${NVIDIA_VISIBLE_DEVICES:-all}
       # Uncomment the next line to pin to a specific GPU (e.g. GPU 0):
       # - CUDA_VISIBLE_DEVICES=0
       - HUGGING_FACE_HUB_TOKEN=${HF_TOKEN:-}

models/qwen3.6-27b/vllm/compose/single/docker-compose.yml

@@ -95,6 +95,10 @@
 #   bash ../scripts/setup.sh    # ensures Genesis tree at v7.14+ layout
 #   cd compose && docker compose up -d
 # ===========================================================================
+# Hardware metadata (parsed by scripts/preflight.sh):
+# Requires-min-vram-gb: 24
+# Requires-min-gpu-count: 1
+# Tensor-parallel: 1
 services:
   vllm-qwen36-27b:
     image: vllm/vllm-openai:nightly-1acd67a795ebccdf9b9db7697ae9082058301657
@@ -134,6 +138,7 @@ services:
       # https://huggingface.co/froggeric/Qwen-Fixed-Chat-Templates
       - ../../patches/froggeric-chat-template/chat_template.jinja:/etc/qwen-froggeric-chat-template.jinja:ro
     environment:
+      - NVIDIA_VISIBLE_DEVICES=${NVIDIA_VISIBLE_DEVICES:-all}
       # Uncomment the next line to pin to a specific GPU (e.g. GPU 0):
       # - CUDA_VISIBLE_DEVICES=0
       - HUGGING_FACE_HUB_TOKEN=${HF_TOKEN:-}

models/qwen3.6-27b/vllm/compose/single/long-text-no-mtp.yml

@@ -109,6 +109,10 @@
 #   cd <repo>/models/qwen3.6-27b/vllm/compose
 #   docker compose -f single/long-text.yml up -d
 # ===========================================================================
+# Hardware metadata (parsed by scripts/preflight.sh):
+# Requires-min-vram-gb: 24
+# Requires-min-gpu-count: 1
+# Tensor-parallel: 1
 services:
   vllm-qwen36-27b-long-text-no-mtp:
     image: vllm/vllm-openai:nightly-1acd67a795ebccdf9b9db7697ae9082058301657
@@ -151,6 +155,7 @@ services:
       # https://huggingface.co/froggeric/Qwen-Fixed-Chat-Templates
       - ../../patches/froggeric-chat-template/chat_template.jinja:/etc/qwen-froggeric-chat-template.jinja:ro
     environment:
+      - NVIDIA_VISIBLE_DEVICES=${NVIDIA_VISIBLE_DEVICES:-all}
       # Uncomment the next line to pin to a specific GPU (e.g. GPU 0):
       # - CUDA_VISIBLE_DEVICES=0
       - HUGGING_FACE_HUB_TOKEN=${HF_TOKEN:-}

models/qwen3.6-27b/vllm/compose/single/long-text.yml

@@ -119,6 +119,10 @@
 #   cd <repo>/models/qwen3.6-27b/vllm/compose
 #   docker compose -f single/long-text.yml up -d
 # ===========================================================================
+# Hardware metadata (parsed by scripts/preflight.sh):
+# Requires-min-vram-gb: 24
+# Requires-min-gpu-count: 1
+# Tensor-parallel: 1
 services:
   vllm-qwen36-27b-long-text:
     image: vllm/vllm-openai:nightly-1acd67a795ebccdf9b9db7697ae9082058301657
@@ -161,6 +165,7 @@ services:
       # https://huggingface.co/froggeric/Qwen-Fixed-Chat-Templates
       - ../../patches/froggeric-chat-template/chat_template.jinja:/etc/qwen-froggeric-chat-template.jinja:ro
     environment:
+      - NVIDIA_VISIBLE_DEVICES=${NVIDIA_VISIBLE_DEVICES:-all}
       # Uncomment the next line to pin to a specific GPU (e.g. GPU 0):
       # - CUDA_VISIBLE_DEVICES=0
       - HUGGING_FACE_HUB_TOKEN=${HF_TOKEN:-}

models/qwen3.6-27b/vllm/compose/single/long-vision.yml

@@ -95,6 +95,10 @@
 #   cd <repo>/models/qwen3.6-27b/vllm/compose
 #   docker compose -f single/long-vision.yml up -d
 # ===========================================================================
+# Hardware metadata (parsed by scripts/preflight.sh):
+# Requires-min-vram-gb: 24
+# Requires-min-gpu-count: 1
+# Tensor-parallel: 1
 services:
   vllm-qwen36-27b-long-vision:
     image: vllm/vllm-openai:nightly-1acd67a795ebccdf9b9db7697ae9082058301657
@@ -129,6 +133,7 @@ services:
       # https://huggingface.co/froggeric/Qwen-Fixed-Chat-Templates
       - ../../patches/froggeric-chat-template/chat_template.jinja:/etc/qwen-froggeric-chat-template.jinja:ro
     environment:
+      - NVIDIA_VISIBLE_DEVICES=${NVIDIA_VISIBLE_DEVICES:-all}
       # Uncomment the next line to pin to a specific GPU (e.g. GPU 0):
       # - CUDA_VISIBLE_DEVICES=0
       - HUGGING_FACE_HUB_TOKEN=${HF_TOKEN:-}

models/qwen3.6-27b/vllm/compose/single/minimal.yml

@@ -31,6 +31,10 @@
 # Run:
 #   cd compose && docker compose -f single/minimal.yml up -d
 # ===========================================================================
+# Hardware metadata (parsed by scripts/preflight.sh):
+# Requires-min-vram-gb: 20
+# Requires-min-gpu-count: 1
+# Tensor-parallel: 1
 services:
   vllm-qwen36-27b-minimal:
     image: vllm/vllm-openai:nightly-1acd67a795ebccdf9b9db7697ae9082058301657
@@ -61,6 +65,7 @@ services:
       # https://huggingface.co/froggeric/Qwen-Fixed-Chat-Templates
       - ../../patches/froggeric-chat-template/chat_template.jinja:/etc/qwen-froggeric-chat-template.jinja:ro
     environment:
+      - NVIDIA_VISIBLE_DEVICES=${NVIDIA_VISIBLE_DEVICES:-all}
       # Uncomment the next line to pin to a specific GPU (e.g. GPU 0):
       # - CUDA_VISIBLE_DEVICES=0
       - HUGGING_FACE_HUB_TOKEN=${HF_TOKEN:-}

models/qwen3.6-27b/vllm/compose/single/tools-text.yml

@@ -33,6 +33,10 @@
 #   cd <repo>/models/qwen3.6-27b/vllm/compose
 #   docker compose -f single/tools-text.yml up -d
 # ===========================================================================
+# Hardware metadata (parsed by scripts/preflight.sh):
+# Requires-min-vram-gb: 24
+# Requires-min-gpu-count: 1
+# Tensor-parallel: 1
 services:
   vllm-qwen36-27b:
     image: vllm/vllm-openai:nightly-1acd67a795ebccdf9b9db7697ae9082058301657
@@ -66,6 +70,7 @@ services:
       # https://huggingface.co/froggeric/Qwen-Fixed-Chat-Templates
       - ../../patches/froggeric-chat-template/chat_template.jinja:/etc/qwen-froggeric-chat-template.jinja:ro
     environment:
+      - NVIDIA_VISIBLE_DEVICES=${NVIDIA_VISIBLE_DEVICES:-all}
       # - CUDA_VISIBLE_DEVICES=0
       - HUGGING_FACE_HUB_TOKEN=${HF_TOKEN:-}
       - VLLM_WORKER_MULTIPROC_METHOD=spawn

scripts/lib/bench-row-formatter.sh

@@ -0,0 +1,416 @@
+#!/usr/bin/env bash
+#
+# Formatter for one-row BENCHMARKS.md submissions from results/rebench/<tag>/.
+#
+# Public functions:
+#   bench_row_format <rebench-tag-dir>
+#   bench_row_section <rebench-tag-dir>
+#   bench_row_fixtures
+
+_BENCH_ROW_LIB_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd)"
+_BENCH_ROW_ROOT="$(cd -- "${_BENCH_ROW_LIB_DIR}/../.." && pwd)"
+
+bench_row_fixtures() {
+  local tag
+  for tag in \
+    qwen-int8-pth-n4-2026-05-10 \
+    qwen-bf16-n4-2026-05-11 \
+    qwen-int8-tq3-n3-2026-05-11 \
+    qwen-tq3-mtp-genesis-2026-05-11 \
+    gemma-int8-pth-n4-2026-05-11 \
+    gemma-bf16-n4-2026-05-11; do
+    if [[ -d "${_BENCH_ROW_ROOT}/results/rebench/${tag}" ]]; then
+      printf '%s\n' "${_BENCH_ROW_ROOT}/results/rebench/${tag}"
+    fi
+  done
+}
+
+bench_row_section() {
+  _bench_row_python section "$1"
+}
+
+bench_row_format() {
+  _bench_row_python row "$1"
+}
+
+bench_row_rig_shortname() {
+  _bench_row_python rig-short "$1"
+}
+
+_bench_row_python() {
+  local mode="$1"
+  local tag_dir="$2"
+  BENCH_ROW_REPO_ROOT="${_BENCH_ROW_ROOT}" python3 - "$mode" "$tag_dir" <<'PY'
+from __future__ import annotations
+
+import json
+import os
+import re
+import sys
+from pathlib import Path
+from typing import Any
+
+
+MODE = sys.argv[1]
+TAG_DIR = Path(sys.argv[2]).resolve()
+ROOT = Path(os.environ.get("BENCH_ROW_REPO_ROOT", ".")).resolve()
+
+
+def die(msg: str) -> None:
+    print(f"[bench-row] ERROR: {msg}", file=sys.stderr)
+    raise SystemExit(1)
+
+
+def read_text(path: Path) -> str:
+    try:
+        return path.read_text(errors="replace")
+    except Exception:
+        return ""
+
+
+def read_json(path: Path) -> Any:
+    try:
+        return json.loads(path.read_text(errors="replace"))
+    except Exception:
+        return None
+
+
+def require_file(name: str) -> Path:
+    path = TAG_DIR / name
+    if not path.is_file():
+        die(f"missing required artifact: {path}")
+    return path
+
+
+def first_container(blob: Any) -> dict[str, Any]:
+    if isinstance(blob, list) and blob:
+        return blob[0] if isinstance(blob[0], dict) else {}
+    return blob if isinstance(blob, dict) else {}
+
+
+def flag(cmd: list[str], name: str) -> str:
+    try:
+        i = cmd.index(name)
+        return str(cmd[i + 1])
+    except Exception:
+        return "?"
+
+
+def rel(path: str) -> str:
+    if not path:
+        return ""
+    p = Path(path)
+    try:
+        return str(p.resolve().relative_to(ROOT))
+    except Exception:
+        return str(p)
+
+
+def infer_compose_path(container_name: str, served: str, tp: str) -> str:
+    name = container_name.lstrip("/")
+    is_gemma = "gemma" in name or "gemma" in served
+    model_root = "models/gemma-4-31b/vllm/compose" if is_gemma else "models/qwen3.6-27b/vllm/compose"
+
+    mapping = {
+        "dual-int8-tq3": "dual/int8-tq3.yml",
+        "dual-tq3-mtp-genesis": "dual/tq3-mtp-genesis.yml",
+        "dual-tq3-nomtp": "dual/tq3-nomtp.yml",
+        "dual-tq3-mtp": "dual/tq3-mtp.yml",
+        "dual-int8": "dual/int8.yml",
+        "dual-bf16": "dual/bf16.yml",
+        "dual-dflash-noviz": "dual/dflash-noviz.yml",
+        "dual-dflash": "dual/dflash.yml",
+        "dual-turbo": "dual/turbo.yml",
+        "dual": "dual/docker-compose.yml",
+        "minimal": "single/minimal.yml",
+        "tools-text": "single/tools-text.yml",
+        "long-text-no-mtp": "single/long-text-no-mtp.yml",
+        "long-text": "single/long-text.yml",
+        "long-vision": "single/long-vision.yml",
+    }
+    for needle, suffix in mapping.items():
+        if needle in name:
+            return f"{model_root}/{suffix}"
+    if tp == "4":
+        return "models/qwen3.6-27b/vllm/compose/multi4/docker-compose.yml"
+    if tp == "2":
+        return f"{model_root}/dual/docker-compose.yml"
+    return f"{model_root}/single/docker-compose.yml"
+
+
+def compose_display(compose_path: str, served: str) -> str:
+    path = compose_path.replace("\\", "/")
+    parts = path.split("/")
+    base = parts[-1] if parts else path
+    parent = parts[-2] if len(parts) >= 2 else ""
+    is_gemma = "gemma" in served or "gemma-4-31b" in path
+
+    if base == "docker-compose.yml":
+        if parent == "dual":
+            return "dual.yml"
+        if parent == "multi4":
+            return "dual4.yml"
+        if parent == "single":
+            return "vllm/gemma-mtp-tp1" if is_gemma else "vllm/default"
+    if parent in {"dual", "multi4"} and not base.startswith(f"{parent}-"):
+        return f"{parent}-{base}"
+    return base
+
+
+def parse_rig(rig_txt: str) -> dict[str, Any]:
+    out: dict[str, Any] = {"gpus": []}
+    for raw in rig_txt.splitlines():
+        line = raw.strip()
+        if not line:
+            continue
+        if line.startswith("hostname:"):
+            out["hostname"] = line.split(":", 1)[1].strip()
+        elif line.startswith("GPU "):
+            gpu = line.split(":", 1)[1].split("(UUID", 1)[0].strip()
+            out["gpus"].append(gpu)
+        elif line.startswith("power_cap_w:"):
+            out["power_cap_w"] = line.split(":", 1)[1].strip()
+    return out
+
+
+def simplify_gpu(name: str) -> str:
+    name = re.sub(r"^NVIDIA\s+", "", name)
+    name = re.sub(r"^GeForce\s+", "", name)
+    name = re.sub(r"^RTX\s+", "", name)
+    return name.strip()
+
+
+def rig_shape(rig: dict[str, Any]) -> str:
+    gpus = [simplify_gpu(g) for g in rig.get("gpus") or []]
+    if not gpus:
+        shape = "rig"
+    elif len(set(gpus)) == 1:
+        shape = f"{len(gpus)}× {gpus[0]}"
+    else:
+        shape = " + ".join(gpus)
+    power = str(rig.get("power_cap_w") or "").strip()
+    if power:
+        try:
+            power = f"{float(power):.0f} W/card"
+        except Exception:
+            power = f"{power} W/card"
+        return f"{shape}, {power}"
+    return shape
+
+
+def rig_cell(rig: dict[str, Any]) -> str:
+    user = os.environ.get("BENCH_ROW_GITHUB_USER", "").strip().lstrip("@") or "your-handle"
+    return f"@{user} ({rig_shape(rig)})"
+
+
+def short_date(tag: str, report: str) -> str:
+    m = re.search(r"(20\d{2}-\d{2}-\d{2})", tag)
+    if m:
+        return m.group(1)
+    m = re.search(r"\*\*Date:\*\*\s*(20\d{2}-\d{2}-\d{2})", report)
+    return m.group(1) if m else "—"
+
+
+def kv_display(raw: str, served: str) -> str:
+    raw = (raw or "?").strip("`")
+    lowered = raw.lower()
+    if lowered in {"turboquant_3bit_nc", "tq3"}:
+        return "TQ3"
+    if lowered in {"fp8_e5m2", "fp8", "fp8_e4m3"}:
+        return "fp8"
+    if lowered in {"bfloat16", "bf16"}:
+        return "bf16"
+    if lowered == "auto":
+        return "bf16"
+    if lowered == "int8_per_token_head":
+        return "int8_per_token_head"
+    return raw or "?"
+
+
+def fmt_ctx(value: str) -> str:
+    try:
+        n = int(str(value).replace(",", ""))
+    except Exception:
+        return str(value or "?")
+    if n >= 1000:
+        return f"{round(n / 1000):.0f}K"
+    return str(n)
+
+
+def fmt_tps(value: Any) -> str:
+    try:
+        return f"{float(value):.2f}"
+    except Exception:
+        return "?"
+
+
+def parse_mib(text: str) -> int | None:
+    m = re.search(r"([\d.]+)\s*MiB", str(text))
+    if not m:
+        return None
+    try:
+        return int(float(m.group(1)))
+    except Exception:
+        return None
+
+
+def peak_vram(internal: dict[str, Any], gpu_count: int) -> str:
+    vals: list[int] = []
+    for g in (((internal.get("bench") or {}).get("gpu_state")) or []):
+        mib = parse_mib(g.get("mem_used", ""))
+        if mib is not None:
+            vals.append(mib)
+    if not vals:
+        return "TBD"
+    suffix = "/card" if gpu_count > 1 else ""
+    return f"{max(vals) / 1024:.1f} GB{suffix}"
+
+
+def parse_jsonish(value: str) -> dict[str, Any]:
+    try:
+        parsed = json.loads(value)
+        return parsed if isinstance(parsed, dict) else {}
+    except Exception:
+        return {}
+
+
+def verify_summary(report: str) -> str:
+    m = re.search(r"Verify-stress:\s+\*\*(\d+/\d+)\*\*", report)
+    if m:
+        return m.group(1)
+    m = re.search(r"\*\*Overall:\*\*\s+(PASS|FAIL|\?)", report)
+    return m.group(1) if m else "?"
+
+
+def soak_note(soak: dict[str, Any]) -> str:
+    verdict = str(soak.get("verdict") or "").upper()
+    silent = str(soak.get("silent_empty") or "")
+    growth = str(soak.get("max_growth_mib") or "")
+    if not verdict:
+        return "Soak: —"
+    if verdict == "PASS" and (silent.startswith("0 ") or silent.startswith("0/") or silent == "0"):
+        return "Soak: ✓ PASS"
+    if verdict == "PASS":
+        return f"Soak: ⚠ borderline ({silent or growth})"
+    return f"Soak: ✗ {verdict}"
+
+
+def section_name(compose_path: str, served: str, tp: str, container: str) -> str:
+    if "gemma" in served or "gemma" in container or "gemma-4-31b" in compose_path:
+        return "Gemma 4 31B (community-experimental)"
+    path = compose_path.replace("\\", "/")
+    if "llama-cpp" in path or "llama-cpp" in container:
+        return "Single-card (1× RTX 3090) — llama.cpp"
+    if "/multi4/" in path or tp == "4":
+        return "Quad-card (4× RTX 3090, TP=4)"
+    if "/dual/" in path or tp == "2":
+        return "Dual-card (2× RTX 3090, TP=2)"
+    return "Single-card (1× RTX 3090) — vLLM"
+
+
+def load() -> dict[str, Any]:
+    if not TAG_DIR.is_dir():
+        die(f"tag dir not found: {TAG_DIR}")
+    internal = read_json(require_file("_internal.json"))
+    if not isinstance(internal, dict):
+        die(f"invalid JSON artifact: {TAG_DIR / '_internal.json'}")
+    report = read_text(require_file("REPORT.md"))
+    config_blob = first_container(read_json(require_file("container-config.json")))
+    cfg = config_blob.get("Config") or {}
+    labels = cfg.get("Labels") or {}
+    cmd = cfg.get("Cmd") or []
+    env = cfg.get("Env") or []
+    name = str(config_blob.get("Name") or "").lstrip("/")
+    served = flag(cmd, "--served-model-name")
+    tp = flag(cmd, "--tensor-parallel-size")
+    compose = rel(labels.get("com.docker.compose.project.config_files") or "")
+    if not compose:
+        compose = infer_compose_path(name, served, tp)
+    rig = parse_rig(read_text(require_file("rig.txt")))
+    tag = TAG_DIR.name
+    spec = parse_jsonish(flag(cmd, "--speculative-config"))
+
+    return {
+        "tag": tag,
+        "report": report,
+        "internal": internal,
+        "container": {
+            "name": name,
+            "served": served,
+            "tp": tp,
+            "compose": compose,
+            "kv": flag(cmd, "--kv-cache-dtype"),
+            "max_ctx": flag(cmd, "--max-model-len"),
+            "max_num_seqs": flag(cmd, "--max-num-seqs"),
+            "mem_util": flag(cmd, "--gpu-memory-utilization"),
+            "image": cfg.get("Image", ""),
+            "spec": spec,
+            "genesis": any(str(e).startswith("GENESIS_") for e in env),
+        },
+        "rig": rig,
+        "date": short_date(tag, report),
+    }
+
+
+def format_row(data: dict[str, Any]) -> str:
+    c = data["container"]
+    internal = data["internal"]
+    bench = internal.get("bench") or {}
+    narrative = bench.get("narrative") or {}
+    code = bench.get("code") or {}
+    mtp = bench.get("mtp") or {}
+    quality = internal.get("quality") or {}
+    aider = internal.get("aider") or {}
+    soak = internal.get("soak") or {}
+    rig = data["rig"]
+    gpu_count = max(len(rig.get("gpus") or []), 1)
+    section = section_name(c["compose"], c["served"], c["tp"], c["name"])
+    verify = verify_summary(data["report"])
+    compose = compose_display(c["compose"], c["served"])
+    kv = kv_display(c["kv"], c["served"])
+    max_ctx = fmt_ctx(c["max_ctx"])
+    tps = f"**{fmt_tps(narrative.get('wall_tps_mean'))} / {fmt_tps(code.get('wall_tps_mean'))}**"
+    peak = peak_vram(internal, gpu_count)
+    spec_n = c["spec"].get("num_speculative_tokens")
+    notes = [soak_note(soak), f"verify-stress {verify}"]
+    if quality.get("total_passed") is not None:
+        notes.append(f"quality {quality.get('total_passed')}/{quality.get('total_total')}")
+    if aider.get("total_count"):
+        notes.append(f"aider {aider.get('passed_count')}/{aider.get('total_count')}")
+    if mtp.get("mean_accept_length") is not None:
+        n_text = f" n={spec_n}" if spec_n is not None else ""
+        notes.append(
+            f"MTP{n_text} AL {float(mtp['mean_accept_length']):.2f}, "
+            f"accept {float(mtp.get('avg_accept_rate', 0)):.1f}%"
+        )
+    if c.get("genesis"):
+        notes.append("Genesis on")
+
+    note_cell = "; ".join(notes) + f". Report: `results/rebench/{data['tag']}/REPORT.md`."
+
+    if section == "Gemma 4 31B (community-experimental)":
+        al = f"{float(mtp['mean_accept_length']):.2f}" if mtp.get("mean_accept_length") is not None else "—"
+        per_pos = str(mtp.get("per_position") or "—")
+        return (
+            f"| `{compose}` | {rig_cell(rig)} | {kv} | {max_ctx} | {tps} | "
+            f"{al} | {per_pos} | {peak} | {data['date']} | {note_cell} |"
+        )
+
+    return (
+        f"| `{compose}` | {rig_cell(rig)} | {kv} | {max_ctx} | {tps} | "
+        f"{peak} | {data['date']} | {note_cell} |"
+    )
+
+
+data = load()
+if MODE == "section":
+    c = data["container"]
+    print(section_name(c["compose"], c["served"], c["tp"], c["name"]))
+elif MODE == "row":
+    print(format_row(data))
+elif MODE == "rig-short":
+    print(data["tag"])
+else:
+    die(f"unknown mode: {MODE}")
+PY
+}

scripts/lib/compose-meta.sh

@@ -0,0 +1,64 @@
+#!/usr/bin/env bash
+#
+# Tiny parser for hardware metadata stored as compose header comments.
+#
+# Expected form:
+#   # Requires-min-vram-gb: 24
+#   # Requires-min-gpu-count: 2
+#   # Tensor-parallel: 2
+#   # Requires-sm: 9.0+
+#
+# This intentionally does not parse YAML. These fields are comments so that
+# older docker compose versions and direct `docker compose -f ... up` flows keep
+# working unchanged.
+
+_compose_meta_trim() {
+  local value="$1"
+  value="${value#"${value%%[![:space:]]*}"}"
+  value="${value%"${value##*[![:space:]]}"}"
+  printf '%s' "$value"
+}
+
+_compose_meta_norm_key() {
+  local key="$1"
+  key="$(_compose_meta_trim "$key")"
+  key="${key//_/-}"
+  key="${key// /-}"
+  printf '%s' "$key" | tr '[:upper:]' '[:lower:]'
+}
+
+_compose_meta_wants_key() {
+  local requested="$(_compose_meta_norm_key "$1")"
+  local candidate="$(_compose_meta_norm_key "$2")"
+
+  case "$requested" in
+    min-vram-gb) requested="requires-min-vram-gb" ;;
+    min-gpu-count) requested="requires-min-gpu-count" ;;
+    tp) requested="tensor-parallel" ;;
+    sm) requested="requires-sm" ;;
+  esac
+
+  [[ "$candidate" == "$requested" ]]
+}
+
+compose_meta_get() {
+  local compose_file="$1"
+  local field="$2"
+
+  [[ -f "$compose_file" ]] || return 1
+
+  local line key value
+  while IFS= read -r line; do
+    [[ "$line" =~ ^[[:space:]]*# ]] || continue
+    line="${line#*\#}"
+    [[ "$line" == *:* ]] || continue
+    key="${line%%:*}"
+    value="${line#*:}"
+    if _compose_meta_wants_key "$field" "$key"; then
+      _compose_meta_trim "$value"
+      return 0
+    fi
+  done < "$compose_file"
+
+  return 1
+}

scripts/preflight.sh

@@ -12,6 +12,7 @@
 #   preflight_running         — warn if a club-3090 container is already up
 #   preflight_genesis_pin     — warn if on-disk Genesis tree differs from setup.sh's pin
 #   preflight_repo_drift      — warn if local HEAD is behind origin/master
+#   preflight_compose_hardware— check compose VRAM/GPU-count/SM metadata
 #
 # Style: each function prints one or more "[preflight] ..." lines.
 # Hard failures get a one-line ERROR + a "Fix:" hint.
@@ -19,6 +20,12 @@
 # Avoid double-sourcing.
 [[ -n "${_PREFLIGHT_LOADED:-}" ]] && return 0
 _PREFLIGHT_LOADED=1
+_PREFLIGHT_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd)"
+
+if [[ -f "${_PREFLIGHT_DIR}/lib/compose-meta.sh" ]]; then
+  # shellcheck source=lib/compose-meta.sh
+  source "${_PREFLIGHT_DIR}/lib/compose-meta.sh"
+fi
 
 preflight_docker() {
   if ! command -v docker >/dev/null 2>&1; then
@@ -72,6 +79,301 @@ preflight_gpu() {
   return 0
 }
 
+_preflight_trim() {
+  local value="$1"
+  value="${value#"${value%%[![:space:]]*}"}"
+  value="${value%"${value##*[![:space:]]}"}"
+  printf '%s' "$value"
+}
+
+_preflight_csv_token() {
+  local value="$1"
+  value="$(_preflight_trim "$value")"
+  printf '%s' "$value"
+}
+
+_preflight_selector() {
+  if [[ -n "${CLUB3090_GPU:-}" ]]; then
+    printf '%s' "${CLUB3090_GPU}"
+  elif [[ -n "${NVIDIA_VISIBLE_DEVICES:-}" && "${NVIDIA_VISIBLE_DEVICES}" != "all" && "${NVIDIA_VISIBLE_DEVICES}" != "void" ]]; then
+    printf '%s' "${NVIDIA_VISIBLE_DEVICES}"
+  elif [[ -n "${CUDA_VISIBLE_DEVICES:-}" && "${CUDA_VISIBLE_DEVICES}" != "all" && "${CUDA_VISIBLE_DEVICES}" != "void" ]]; then
+    printf '%s' "${CUDA_VISIBLE_DEVICES}"
+  fi
+}
+
+_preflight_selector_is_specific() {
+  local selector="${1:-}"
+  [[ -n "$selector" && "$selector" != "all" && "$selector" != "void" ]]
+}
+
+_preflight_selector_allows_index() {
+  local selector="$1"
+  local idx="$2"
+  local token
+
+  if ! _preflight_selector_is_specific "$selector"; then
+    return 0
+  fi
+
+  IFS=',' read -ra _preflight_selector_tokens <<< "$selector"
+  for token in "${_preflight_selector_tokens[@]}"; do
+    token="$(_preflight_trim "$token")"
+    [[ "$token" == "$idx" ]] && return 0
+  done
+  return 1
+}
+
+_preflight_selector_first_numeric() {
+  local selector="$1"
+  local token
+
+  IFS=',' read -ra _preflight_selector_tokens <<< "$selector"
+  for token in "${_preflight_selector_tokens[@]}"; do
+    token="$(_preflight_trim "$token")"
+    if [[ "$token" =~ ^[0-9]+$ ]]; then
+      printf '%s' "$token"
+      return 0
+    fi
+  done
+  return 1
+}
+
+_preflight_sm_to_int() {
+  local sm="$1"
+  sm="${sm%%+}"
+  sm="${sm//sm_/}"
+  sm="${sm//SM_/}"
+  sm="${sm// /}"
+  [[ -z "$sm" ]] && { echo 0; return; }
+
+  local major minor
+  if [[ "$sm" == *.* ]]; then
+    major="${sm%%.*}"
+    minor="${sm#*.}"
+  else
+    major="$sm"
+    minor="0"
+  fi
+  major="${major//[^0-9]/}"
+  minor="${minor//[^0-9]/}"
+  [[ -z "$major" ]] && major=0
+  [[ -z "$minor" ]] && minor=0
+  if [[ "${#minor}" -eq 1 ]]; then
+    minor=$(( minor * 10 ))
+  else
+    minor="${minor:0:2}"
+    [[ -z "$minor" ]] && minor=0
+  fi
+  echo $(( major * 100 + minor ))
+}
+
+_preflight_vram_gb() {
+  local mib="$1"
+  echo $(( (mib + 1023) / 1024 ))
+}
+
+_preflight_hardware_suggestions() {
+  local variant="${1:-}"
+
+  echo "[preflight]" >&2
+  echo "[preflight] Suggested next steps:" >&2
+  echo "[preflight]   - Pick a compose that matches the detected GPU VRAM/topology." >&2
+  if [[ "$variant" == vllm/gemma-mtp-tp1 ]]; then
+    echo "[preflight]   - On 2x 24 GB cards, use:  bash scripts/switch.sh vllm/gemma-mtp" >&2
+  fi
+  echo "[preflight]   - On a single 24 GB card, start with:  bash scripts/switch.sh vllm/default" >&2
+  echo "[preflight]   - For maximum compatibility, use:  bash scripts/switch.sh llamacpp/default" >&2
+  echo "[preflight]   - Explicit bypass:  bash scripts/switch.sh --force ${variant:-<variant>}" >&2
+}
+
+# preflight_compose_hardware <compose_file> [variant] [force]
+#
+# Reads compose header metadata and checks the target host before docker compose
+# starts. This is intentionally conservative:
+#   - Missing metadata warns and allows the boot.
+#   - TP=1 composes auto-select the largest eligible GPU unless the user set
+#     CLUB3090_GPU, CUDA_VISIBLE_DEVICES, or NVIDIA_VISIBLE_DEVICES.
+#   - TP>=2 composes hard-fail only on insufficient GPU count or hard SM gates;
+#     heterogeneous VRAM below the requested floor warns because advanced users
+#     may be validating sub-24 GB configs with tuned memory-utilization.
+preflight_compose_hardware() {
+  local compose_file="$1"
+  local variant="${2:-}"
+  local force="${3:-${FORCE:-0}}"
+
+  if [[ "${PREFLIGHT_NO_HARDWARE:-0}" == "1" ]]; then
+    return 0
+  fi
+  if [[ "$force" == "1" || "${FORCE:-0}" == "1" ]]; then
+    echo "[preflight] hardware: skipped (--force/FORCE=1)"
+    return 0
+  fi
+  if [[ ! -f "$compose_file" ]]; then
+    echo "[preflight] ERROR: compose file not found: $compose_file" >&2
+    return 1
+  fi
+  if ! command -v nvidia-smi >/dev/null 2>&1; then
+    echo "[preflight] WARN:  nvidia-smi not found; skipping compose hardware metadata check." >&2
+    return 0
+  fi
+  if ! declare -F compose_meta_get >/dev/null 2>&1; then
+    echo "[preflight] WARN:  compose metadata parser unavailable; skipping hardware metadata check." >&2
+    return 0
+  fi
+
+  local min_vram_gb min_gpu_count tp requires_sm
+  min_vram_gb="$(compose_meta_get "$compose_file" requires-min-vram-gb || true)"
+  min_gpu_count="$(compose_meta_get "$compose_file" requires-min-gpu-count || true)"
+  tp="$(compose_meta_get "$compose_file" tensor-parallel || true)"
+  requires_sm="$(compose_meta_get "$compose_file" requires-sm || true)"
+
+  if [[ -z "$min_vram_gb" || -z "$min_gpu_count" || -z "$tp" ]]; then
+    echo "[preflight] WARN:  compose has no hardware metadata; allowing boot: $compose_file" >&2
+    return 0
+  fi
+
+  requires_sm="${requires_sm:-0.0}"
+  local required_sm_int
+  required_sm_int="$(_preflight_sm_to_int "$requires_sm")"
+
+  local gpu_query
+  gpu_query="$(nvidia-smi --query-gpu=index,name,memory.total,compute_cap --format=csv,noheader,nounits 2>/dev/null || true)"
+  if [[ -z "$gpu_query" ]]; then
+    echo "[preflight] WARN:  could not query GPU VRAM/SM via nvidia-smi; skipping hardware metadata check." >&2
+    return 0
+  fi
+
+  local selector
+  selector="$(_preflight_selector || true)"
+
+  local total_count=0 selected_count=0 eligible_count=0 selected_below_vram=0 selected_below_sm=0
+  local best_idx="" best_name="" best_mib=0 best_sm=""
+  local first_idx="" first_name="" first_mib=0 first_sm=""
+  local idx name mem_mib sm rest vram_gb sm_int
+
+  while IFS=',' read -r idx name mem_mib sm rest; do
+    idx="$(_preflight_csv_token "$idx")"
+    name="$(_preflight_csv_token "$name")"
+    mem_mib="$(_preflight_csv_token "$mem_mib")"
+    sm="$(_preflight_csv_token "$sm")"
+    [[ -z "$idx" || -z "$mem_mib" ]] && continue
+    total_count=$(( total_count + 1 ))
+    _preflight_selector_allows_index "$selector" "$idx" || continue
+
+    selected_count=$(( selected_count + 1 ))
+    if [[ -z "$first_idx" ]]; then
+      first_idx="$idx"
+      first_name="$name"
+      first_mib="$mem_mib"
+      first_sm="$sm"
+    fi
+
+    vram_gb="$(_preflight_vram_gb "$mem_mib")"
+    sm_int="$(_preflight_sm_to_int "$sm")"
+
+    if (( vram_gb < min_vram_gb )); then
+      selected_below_vram=1
+    fi
+    if (( sm_int < required_sm_int )); then
+      selected_below_sm=1
+    fi
+
+    if (( vram_gb >= min_vram_gb && sm_int >= required_sm_int )); then
+      eligible_count=$(( eligible_count + 1 ))
+      if (( mem_mib > best_mib )); then
+        best_idx="$idx"
+        best_name="$name"
+        best_mib="$mem_mib"
+        best_sm="$sm"
+      fi
+    fi
+  done <<< "$gpu_query"
+
+  if (( total_count == 0 )); then
+    echo "[preflight] ERROR: no NVIDIA GPUs detected." >&2
+    _preflight_hardware_suggestions "$variant"
+    return 1
+  fi
+  if (( selected_count == 0 )); then
+    echo "[preflight] ERROR: GPU selector '${selector}' did not match any detected GPU index." >&2
+    _preflight_hardware_suggestions "$variant"
+    return 1
+  fi
+
+  local requires_sm_display="${requires_sm%%+}"
+  local sm_label=""
+  if (( required_sm_int > 0 )); then
+    sm_label=", sm_${requires_sm_display}+"
+  fi
+
+  if (( tp <= 1 )); then
+    if _preflight_selector_is_specific "$selector"; then
+      local first_vram_gb first_sm_int
+      first_vram_gb="$(_preflight_vram_gb "$first_mib")"
+      first_sm_int="$(_preflight_sm_to_int "$first_sm")"
+      if (( first_vram_gb < min_vram_gb || first_sm_int < required_sm_int )); then
+        echo "[preflight] ERROR: ${variant:-compose} requires one GPU with >=${min_vram_gb} GB VRAM${sm_label}." >&2
+        echo "[preflight]        Explicit selector '${selector}' starts with GPU ${first_idx}: ${first_name}, ${first_vram_gb} GB, sm_${first_sm}." >&2
+        _preflight_hardware_suggestions "$variant"
+        return 1
+      fi
+      export CLUB3090_GPU="${CLUB3090_GPU:-$selector}"
+      export CUDA_VISIBLE_DEVICES="${CUDA_VISIBLE_DEVICES:-$selector}"
+      export NVIDIA_VISIBLE_DEVICES="${NVIDIA_VISIBLE_DEVICES:-$selector}"
+      echo "[preflight] hardware: ${variant:-compose} TP=1 requires >=${min_vram_gb} GB${sm_label}; using explicit GPU ${first_idx} (${first_vram_gb} GB, sm_${first_sm})"
+      return 0
+    fi
+
+    if (( eligible_count == 0 )); then
+      echo "[preflight] ERROR: ${variant:-compose} requires one GPU with >=${min_vram_gb} GB VRAM${sm_label}; none found." >&2
+      echo "[preflight]        Detected GPUs:" >&2
+      while IFS=',' read -r idx name mem_mib sm rest; do
+        idx="$(_preflight_csv_token "$idx")"
+        name="$(_preflight_csv_token "$name")"
+        mem_mib="$(_preflight_csv_token "$mem_mib")"
+        sm="$(_preflight_csv_token "$sm")"
+        [[ -z "$idx" || -z "$mem_mib" ]] && continue
+        echo "[preflight]          GPU ${idx}: ${name}, $(_preflight_vram_gb "$mem_mib") GB, sm_${sm}" >&2
+      done <<< "$gpu_query"
+      _preflight_hardware_suggestions "$variant"
+      return 1
+    fi
+
+    export CLUB3090_GPU="$best_idx"
+    export CUDA_VISIBLE_DEVICES="$best_idx"
+    export NVIDIA_VISIBLE_DEVICES="$best_idx"
+    echo "[preflight] hardware: ${variant:-compose} TP=1 requires >=${min_vram_gb} GB${sm_label}; auto-selected GPU ${best_idx} ($(_preflight_vram_gb "$best_mib") GB, sm_${best_sm})"
+    return 0
+  fi
+
+  if (( selected_count < min_gpu_count )); then
+    echo "[preflight] ERROR: ${variant:-compose} requires ${min_gpu_count} visible GPU(s) for TP=${tp}; found ${selected_count}." >&2
+    _preflight_hardware_suggestions "$variant"
+    return 1
+  fi
+  if (( selected_below_sm == 1 )); then
+    echo "[preflight] ERROR: ${variant:-compose} requires sm_${requires_sm_display}+ on visible GPUs." >&2
+    while IFS=',' read -r idx name mem_mib sm rest; do
+      idx="$(_preflight_csv_token "$idx")"
+      name="$(_preflight_csv_token "$name")"
+      mem_mib="$(_preflight_csv_token "$mem_mib")"
+      sm="$(_preflight_csv_token "$sm")"
+      _preflight_selector_allows_index "$selector" "$idx" || continue
+      echo "[preflight]          GPU ${idx}: ${name}, $(_preflight_vram_gb "$mem_mib") GB, sm_${sm}" >&2
+    done <<< "$gpu_query"
+    _preflight_hardware_suggestions "$variant"
+    return 1
+  fi
+  if (( selected_below_vram == 1 )); then
+    echo "[preflight] WARN:  ${variant:-compose} requires >=${min_vram_gb} GB per visible GPU for TP=${tp}, but at least one selected GPU is smaller." >&2
+    echo "[preflight]        Continuing because TP>=2 sub-24 GB rigs may use tuned gpu-memory-utilization/KV settings." >&2
+  fi
+
+  echo "[preflight] hardware: ${variant:-compose} TP=${tp} requires ${min_gpu_count} GPU(s), >=${min_vram_gb} GB each${sm_label}; ${selected_count} visible GPU(s) detected"
+  return 0
+}
+
 preflight_disk() {
   local path="$1"
   local need_gb="$2"
@@ -412,9 +714,19 @@ preflight_kv_format_hint() {
     return 0
   fi
 
-  # Detect smallest VRAM among visible cards (the TP-split ceiling).
-  local min_vram_mib
-  min_vram_mib="$(nvidia-smi --query-gpu=memory.total --format=csv,noheader,nounits 2>/dev/null | sort -n | head -1)"
+  # Detect smallest VRAM among selected/visible cards (the TP-split ceiling).
+  local min_vram_mib="" mem_query selector idx mem_mib
+  selector="$(_preflight_selector || true)"
+  mem_query="$(nvidia-smi --query-gpu=index,memory.total --format=csv,noheader,nounits 2>/dev/null || true)"
+  while IFS=',' read -r idx mem_mib; do
+    idx="$(_preflight_csv_token "$idx")"
+    mem_mib="$(_preflight_csv_token "$mem_mib")"
+    [[ -z "$idx" || -z "$mem_mib" ]] && continue
+    _preflight_selector_allows_index "$selector" "$idx" || continue
+    if [[ -z "$min_vram_mib" || "$mem_mib" -lt "$min_vram_mib" ]]; then
+      min_vram_mib="$mem_mib"
+    fi
+  done <<< "$mem_query"
   if [[ -z "$min_vram_mib" ]] || [[ "$min_vram_mib" -ge 24000 ]]; then
     return 0   # 24 GB+ cards — TQ3 is the right pick, no hint needed
   fi

scripts/rebench-full.sh

@@ -273,3 +273,6 @@ echo "  verify-stress: tail -5 $OUT_DIR/verify-stress.log"
 echo "  quality:       grep '^Quality:' $OUT_DIR/quality-full.log"
 echo "  soak:          grep -E 'verdict|silent_empty|p50_decode' $OUT_DIR/soak.log"
 echo "  aider:         grep 'aider-polyglot-30' $OUT_DIR/aider-polyglot.log"
+echo
+echo "To submit your numbers (review then PR):"
+echo "  bash scripts/submit-bench.sh --tag $TAG"

scripts/submit-bench.sh

@@ -0,0 +1,312 @@
+#!/usr/bin/env bash
+#
+# Generate or submit a BENCHMARKS.md row from results/rebench/<tag>/.
+#
+# Usage:
+#   bash scripts/submit-bench.sh --tag <tag>
+#   bash scripts/submit-bench.sh --tag <tag> --auto-submit
+#   bash scripts/submit-bench.sh --tag <tag> --auto-submit --as-pr
+
+set -euo pipefail
+
+ROOT_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")/.." && pwd)"
+cd "$ROOT_DIR"
+
+TAG=""
+AUTO_SUBMIT=0
+AS_PR=0
+SECTION_OVERRIDE=""
+
+usage() {
+  sed -n '2,18p' "$0" | sed 's/^# \{0,1\}//'
+  exit 0
+}
+
+die() {
+  echo "[submit-bench] ERROR: $*" >&2
+  exit 1
+}
+
+log() {
+  echo "[submit-bench] $*"
+}
+
+while [[ $# -gt 0 ]]; do
+  case "$1" in
+    --tag)
+      [[ $# -ge 2 ]] || die "--tag requires a value"
+      TAG="$2"
+      shift 2
+      ;;
+    --auto-submit)
+      AUTO_SUBMIT=1
+      shift
+      ;;
+    --as-pr)
+      AS_PR=1
+      shift
+      ;;
+    --section)
+      [[ $# -ge 2 ]] || die "--section requires a value"
+      SECTION_OVERRIDE="$2"
+      shift 2
+      ;;
+    -h|--help)
+      usage
+      ;;
+    *)
+      die "unknown arg: $1"
+      ;;
+  esac
+done
+
+[[ -n "$TAG" ]] || die "--tag <tag> is required"
+
+TAG_DIR="results/rebench/${TAG}"
+[[ -d "$TAG_DIR" ]] || die "tag dir not found: ${TAG_DIR}"
+[[ -f "$TAG_DIR/REPORT.md" ]] || die "missing required artifact: ${TAG_DIR}/REPORT.md"
+[[ -f "$TAG_DIR/_internal.json" ]] || die "missing required artifact: ${TAG_DIR}/_internal.json"
+[[ -f "$TAG_DIR/container-config.json" ]] || die "missing required artifact: ${TAG_DIR}/container-config.json"
+[[ -f "$TAG_DIR/rig.txt" ]] || die "missing required artifact: ${TAG_DIR}/rig.txt"
+
+# shellcheck source=lib/bench-row-formatter.sh
+source "$ROOT_DIR/scripts/lib/bench-row-formatter.sh"
+
+github_user_for_row() {
+  if [[ -n "${BENCH_ROW_GITHUB_USER:-}" ]]; then
+    printf '%s' "${BENCH_ROW_GITHUB_USER#@}"
+    return 0
+  fi
+  if [[ "${GH_MOCK:-0}" == "1" ]]; then
+    printf '%s' "${GH_MOCK_USER:-mock-user}"
+    return 0
+  fi
+  if command -v gh >/dev/null 2>&1 && gh auth status >/dev/null 2>&1; then
+    gh api user --jq .login 2>/dev/null || true
+  fi
+}
+
+if [[ "$AUTO_SUBMIT" -eq 1 ]]; then
+  GH_USER="$(github_user_for_row)"
+  [[ -n "$GH_USER" ]] || die "not authed with gh. Run: gh auth login"
+  export BENCH_ROW_GITHUB_USER="$GH_USER"
+fi
+
+ROW="$(bench_row_format "$TAG_DIR")"
+SECTION="${SECTION_OVERRIDE:-$(bench_row_section "$TAG_DIR")}"
+OUTPUT="$TAG_DIR/BENCHMARKS-row.md"
+printf '%s\n' "$ROW" > "$OUTPUT"
+
+log "Generated BENCHMARKS row for section: ${SECTION}"
+log "Wrote: ${OUTPUT}"
+echo
+
+valid_sections() {
+  rg -n '^(##|###) ' BENCHMARKS.md | sed 's/^/[submit-bench]   /' >&2 || true
+}
+
+write_pr_body() {
+  local body_file="$1"
+  local row="$2"
+  local tag="$3"
+  local template=".github/PULL_REQUEST_TEMPLATE/bench-row.md"
+
+  if [[ -f "$template" ]]; then
+    python3 - "$template" "$body_file" "$tag" "$row" <<'PY'
+from pathlib import Path
+import sys
+
+template, body_file, tag, row = sys.argv[1:5]
+text = Path(template).read_text()
+text = text.replace("<TAG>", tag)
+text = text.replace("<!-- The generated BENCHMARKS.md row goes here -->", row)
+text = text.replace(
+    "<!-- Output of `bash scripts/report.sh` (redacted) -->",
+    f"See `results/rebench/{tag}/rig.txt`.",
+)
+Path(body_file).write_text(text)
+PY
+  else
+    {
+      echo "## Rig bench submission"
+      echo
+      echo "### New row"
+      echo
+      echo "$row"
+      echo
+      echo "### Full results"
+      echo
+      echo "See \`results/rebench/${tag}/REPORT.md\`."
+    } > "$body_file"
+  fi
+}
+
+write_issue_body() {
+  local body_file="$1"
+  local row="$2"
+  local tag="$3"
+  local section="$4"
+
+  # The repo's numbers-from-your-rig issue template is a structured YAML form
+  # with required textarea/dropdown fields. `gh issue create --template` opens
+  # that interactive form shape, which is not useful once submit-bench has
+  # already generated the structured report. Use a direct markdown body instead.
+  {
+    echo "**Compose / section**: \`${section}\`"
+    echo
+    echo "**Rig**:"
+    echo
+    echo '```text'
+    cat "${TAG_DIR}/rig.txt"
+    echo '```'
+    echo
+    echo "**Proposed BENCHMARKS.md row**:"
+    echo
+    echo "$row"
+    echo
+    echo "**Full report**: \`results/rebench/${tag}/REPORT.md\`"
+    echo
+    echo "**Generated row file**: \`results/rebench/${tag}/BENCHMARKS-row.md\`"
+  } > "$body_file"
+}
+
+insert_row() {
+  local section="$1"
+  local row="$2"
+  python3 - "$section" "$row" <<'PY'
+from __future__ import annotations
+
+import sys
+from pathlib import Path
+
+section = sys.argv[1]
+row = sys.argv[2]
+path = Path("BENCHMARKS.md")
+lines = path.read_text().splitlines()
+
+heading_idx = None
+for i, line in enumerate(lines):
+    if line.strip() in {f"## {section}", f"### {section}"}:
+        heading_idx = i
+        break
+if heading_idx is None:
+    print(f"[submit-bench] ERROR: section not found in BENCHMARKS.md: {section}", file=sys.stderr)
+    raise SystemExit(1)
+
+table_start = None
+for i in range(heading_idx + 1, len(lines)):
+    if lines[i].startswith("#"):
+        break
+    if lines[i].startswith("|"):
+        table_start = i
+        break
+if table_start is None:
+    print(f"[submit-bench] ERROR: no markdown table found below section: {section}", file=sys.stderr)
+    raise SystemExit(1)
+
+insert_at = table_start
+for i in range(table_start, len(lines)):
+    line = lines[i]
+    if line.startswith("#"):
+        break
+    if line.startswith("|"):
+        insert_at = i + 1
+        continue
+    if insert_at > table_start:
+        break
+
+lines.insert(insert_at, row)
+path.write_text("\n".join(lines) + "\n")
+PY
+}
+
+if [[ "$AUTO_SUBMIT" -ne 1 ]]; then
+  cat <<EOF
+Inspect at ${OUTPUT}. Three ways to land it (recommended order):
+
+  1. Issue + maintainer integrates (preferred — vetting before merge):
+       bash scripts/submit-bench.sh --tag ${TAG} --auto-submit
+       (opens an issue via \`gh issue create\`)
+     Or, no-gh-needed:
+       https://github.com/noonghunna/club-3090/issues/new?template=numbers-from-your-rig.yml
+       — paste the contents of ${OUTPUT} + ${TAG_DIR}/rig.txt into the body
+
+  2. Direct PR (advanced — for contributors who know the matrix structure):
+       bash scripts/submit-bench.sh --tag ${TAG} --auto-submit --as-pr
+     Note: matrix is hand-curated; direct PRs may get redirected to an
+     issue thread for context-gathering before merge.
+
+  3. Manual edit (zero tools):
+       Paste the row from ${OUTPUT} into BENCHMARKS.md via the GitHub web editor.
+EOF
+  exit 0
+fi
+
+if [[ -n "$SECTION_OVERRIDE" ]]; then
+  if ! rg -q "^(##|###) ${SECTION_OVERRIDE//\//\\/}$" BENCHMARKS.md; then
+    echo "[submit-bench] Known sections:" >&2
+    valid_sections
+    die "section override not found: ${SECTION_OVERRIDE}"
+  fi
+fi
+
+PR_TITLE="bench(matrix): @${BENCH_ROW_GITHUB_USER} $(bench_row_rig_shortname "$TAG_DIR")"
+ISSUE_TITLE="[bench] @${BENCH_ROW_GITHUB_USER} $(bench_row_rig_shortname "$TAG_DIR")"
+BRANCH_USER="$(printf '%s' "${BENCH_ROW_GITHUB_USER}" | tr -cd '[:alnum:]_.-')"
+BRANCH_TAG="$(printf '%s' "${TAG}" | tr -cd '[:alnum:]_.-')"
+BRANCH="bench/${BRANCH_USER}-${BRANCH_TAG}"
+if [[ "$AS_PR" -eq 1 ]]; then
+  BODY_FILE="$TAG_DIR/PR-body.md"
+  write_pr_body "$BODY_FILE" "$ROW" "$TAG"
+else
+  BODY_FILE="$TAG_DIR/ISSUE-body.md"
+  write_issue_body "$BODY_FILE" "$ROW" "$TAG" "$SECTION"
+fi
+
+if [[ "${GH_MOCK:-0}" == "1" ]]; then
+  MOCK_LOG="$TAG_DIR/auto-submit-mock.log"
+  if [[ "$AS_PR" -eq 1 ]]; then
+    {
+      echo "git switch -c ${BRANCH}"
+      echo "insert BENCHMARKS.md row under: ${SECTION}"
+      echo "git commit -m ${PR_TITLE}"
+      echo "git push -u origin ${BRANCH}"
+      echo "gh pr create --title ${PR_TITLE} --body-file ${BODY_FILE}"
+    } > "$MOCK_LOG"
+    log "GH_MOCK=1 — wrote mocked PR auto-submit commands: ${MOCK_LOG}"
+    log "PR title: ${PR_TITLE}"
+  else
+    {
+      echo "gh issue create --title ${ISSUE_TITLE} --body-file ${BODY_FILE} --label bench-contribution"
+    } > "$MOCK_LOG"
+    log "GH_MOCK=1 — wrote mocked issue auto-submit command: ${MOCK_LOG}"
+    log "Issue title: ${ISSUE_TITLE}"
+  fi
+  exit 0
+fi
+
+command -v gh >/dev/null 2>&1 || die "'gh' not found. Install GitHub CLI or submit manually."
+gh auth status >/dev/null 2>&1 || die "not authed with gh. Run: gh auth login"
+
+if [[ "$AS_PR" -ne 1 ]]; then
+  ISSUE_URL="$(gh issue create --title "$ISSUE_TITLE" --body-file "$BODY_FILE" --label bench-contribution)"
+  log "Opened issue: ${ISSUE_URL}"
+  exit 0
+fi
+
+if ! git diff --quiet -- BENCHMARKS.md; then
+  die "BENCHMARKS.md already has local edits; commit/stash them before --auto-submit"
+fi
+
+git fetch origin master >/dev/null 2>&1 || log "WARN: git fetch origin master failed; continuing from current branch"
+if git show-ref --verify --quiet refs/remotes/origin/master; then
+  git switch -c "$BRANCH" origin/master
+else
+  git switch -c "$BRANCH"
+fi
+insert_row "$SECTION" "$ROW"
+git add BENCHMARKS.md
+git commit -m "$PR_TITLE"
+git push -u origin "$BRANCH"
+PR_URL="$(gh pr create --title "$PR_TITLE" --body-file "$BODY_FILE")"
+log "Opened PR: ${PR_URL}"

scripts/switch.sh

@@ -9,6 +9,7 @@
 # Usage:
 #   bash scripts/switch.sh <variant>           # switch + tail until ready
 #   bash scripts/switch.sh <variant> --no-wait # switch and return immediately
+#   bash scripts/switch.sh --force <variant>   # skip hardware/free-VRAM preflight
 #   bash scripts/switch.sh --list              # show all variants
 #   bash scripts/switch.sh --down              # just bring down whatever's up
 #
@@ -42,6 +43,8 @@
 #
 # Env overrides (rarely needed):
 #   COMPOSE_BIN     Default: "docker compose" (set to e.g. "podman compose" if needed)
+#   CLUB3090_GPU    Single-card GPU index override, e.g. "1" on a hetero rig
+#   FORCE           Set to 1 to skip hardware/free-VRAM preflight
 #   READY_URL       Default: http://localhost:8020/v1/models
 #   READY_TIMEOUT   Default: 600 (seconds — longer for cold cudagraph capture)
 
@@ -169,15 +172,23 @@ gpu_preflight() {
     return
   fi
   # Free MiB per GPU. Tolerate small overhead (driver, X server) — abort
-  # if any GPU has <80% of its total memory free.
+  # if any selected GPU has <80% of its total memory free.
   local mem_query
   mem_query=$(nvidia-smi --query-gpu=index,memory.free,memory.total --format=csv,noheader,nounits 2>/dev/null) || return
+  local selector="${NVIDIA_VISIBLE_DEVICES:-${CUDA_VISIBLE_DEVICES:-}}"
+  local selector_specific=0
+  if [[ -n "$selector" && "$selector" != "all" && "$selector" != "void" ]]; then
+    selector_specific=1
+  fi
   local bad=0
   while IFS=',' read -r idx free total; do
     free=$(echo "$free" | tr -d ' ')
     total=$(echo "$total" | tr -d ' ')
     idx=$(echo "$idx" | tr -d ' ')
     [[ -z "$free" || -z "$total" ]] && continue
+    if [[ "$selector_specific" -eq 1 && ",${selector}," != *",${idx},"* ]]; then
+      continue
+    fi
     # Require ≥80% free. Compose default gpu-memory-utilization is 0.92.
     local need=$(( total * 80 / 100 ))
     if [[ "$free" -lt "$need" ]]; then
@@ -241,8 +252,12 @@ up_variant() {
     preflight_genesis_pin "${ROOT_DIR}" || true
     preflight_repo_drift "${ROOT_DIR}" || true
     preflight_compose_deps "${full_dir}/${file}" || exit 1
+    if [[ "$eng" == "vllm" ]]; then
+      preflight_compose_hardware "${full_dir}/${file}" "$v" "${FORCE:-0}" || exit 1
+    fi
     preflight_kv_format_hint "${full_dir}/${file}" || true
   fi
+  gpu_preflight
 
   echo "[switch] bringing up: ${v}  (${dir}/${file})"
   (cd "${full_dir}" && ${COMPOSE_BIN} -f "${file}" up -d)
@@ -319,24 +334,31 @@ wait_ready() {
 
 # --- arg parsing ---
 WAIT=1
-case "${1:-}" in
-  -h|--help|"") usage ;;
-  --list) list_variants ;;
-  --down) down_running; exit 0 ;;
-esac
-
-VARIANT="$1"
-shift || true
-for arg in "$@"; do
-  case "$arg" in
+FORCE="${FORCE:-0}"
+VARIANT=""
+while [[ $# -gt 0 ]]; do
+  case "$1" in
+    -h|--help) usage ;;
+    --list) list_variants ;;
+    --down) down_running; exit 0 ;;
     --no-wait) WAIT=0 ;;
-    *) echo "Unknown flag: $arg"; exit 1 ;;
+    --force) FORCE=1 ;;
+    --*) echo "Unknown flag: $1"; exit 1 ;;
+    *)
+      if [[ -n "$VARIANT" ]]; then
+        echo "ERROR: multiple variants supplied: '${VARIANT}' and '$1'" >&2
+        exit 1
+      fi
+      VARIANT="$1"
+      ;;
   esac
+  shift
 done
 
+[[ -n "$VARIANT" ]] || usage
+
 resolve_ready_url "${VARIANT}"
 down_running
-gpu_preflight
 up_variant "${VARIANT}"
 [[ $WAIT -eq 1 ]] && wait_ready
 echo "[switch] done. Try:  curl -s ${READY_URL%/v1/models}/v1/models | jq ."

scripts/tests/test-preflight-vram.sh

@@ -0,0 +1,187 @@
+#!/usr/bin/env bash
+set -euo pipefail
+
+ROOT_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")/../.." && pwd)"
+TMP_DIR="$(mktemp -d)"
+trap 'rm -rf "$TMP_DIR"' EXIT
+
+make_mock_nvidia_smi() {
+  mkdir -p "${TMP_DIR}/bin"
+  cat > "${TMP_DIR}/bin/nvidia-smi" <<'MOCK'
+#!/usr/bin/env bash
+case "$*" in
+  *"--query-gpu=index,name,memory.total,compute_cap"*)
+    printf '%s\n' "${MOCK_GPU_QUERY:?MOCK_GPU_QUERY not set}"
+    ;;
+  *"--query-gpu=index,memory.total"*)
+    printf '%s\n' "${MOCK_GPU_MEM_QUERY:-${MOCK_GPU_QUERY:?}}" \
+      | awk -F, '{gsub(/^[ \t]+|[ \t]+$/, "", $1); gsub(/^[ \t]+|[ \t]+$/, "", $3); print $1 ", " $3}'
+    ;;
+  *"--query-gpu=index,memory.free,memory.total"*)
+    printf '%s\n' "${MOCK_GPU_FREE_QUERY:?MOCK_GPU_FREE_QUERY not set}"
+    ;;
+  "-L")
+    printf '%s\n' "${MOCK_GPU_QUERY:?}" \
+      | awk -F, '{gsub(/^[ \t]+|[ \t]+$/, "", $1); gsub(/^[ \t]+|[ \t]+$/, "", $2); print "GPU " $1 ": " $2}'
+    ;;
+  *)
+    echo "unexpected nvidia-smi invocation: $*" >&2
+    exit 2
+    ;;
+esac
+MOCK
+  chmod +x "${TMP_DIR}/bin/nvidia-smi"
+  export PATH="${TMP_DIR}/bin:${PATH}"
+}
+
+make_compose() {
+  local path="$1"
+  local min_vram="$2"
+  local min_gpu="$3"
+  local tp="$4"
+  local sm="${5:-}"
+
+  {
+    echo "# Hardware metadata (test fixture):"
+    echo "# Requires-min-vram-gb: ${min_vram}"
+    echo "# Requires-min-gpu-count: ${min_gpu}"
+    echo "# Tensor-parallel: ${tp}"
+    if [[ -n "$sm" ]]; then
+      echo "# Requires-sm: ${sm}"
+    fi
+    echo "services: {}"
+  } > "$path"
+}
+
+assert_contains() {
+  local haystack="$1"
+  local needle="$2"
+  if [[ "$haystack" != *"$needle"* ]]; then
+    echo "ASSERTION FAILED: expected output to contain: $needle" >&2
+    echo "--- output ---" >&2
+    echo "$haystack" >&2
+    exit 1
+  fi
+}
+
+run_case() {
+  local compose="$1"
+  local variant="$2"
+  local force="${3:-0}"
+  (
+    unset CLUB3090_GPU CUDA_VISIBLE_DEVICES NVIDIA_VISIBLE_DEVICES FORCE
+    source "${ROOT_DIR}/scripts/preflight.sh"
+    if preflight_compose_hardware "$compose" "$variant" "$force"; then
+      echo "STATUS=ok"
+      echo "NVIDIA_VISIBLE_DEVICES=${NVIDIA_VISIBLE_DEVICES:-}"
+    else
+      rc=$?
+      echo "STATUS=fail:${rc}"
+      exit "$rc"
+    fi
+  ) 2>&1
+}
+
+expect_failure() {
+  local compose="$1"
+  local variant="$2"
+  local force="${3:-0}"
+  local output
+
+  if output="$(run_case "$compose" "$variant" "$force")"; then
+    echo "ASSERTION FAILED: expected preflight failure for ${variant}" >&2
+    echo "--- output ---" >&2
+    echo "$output" >&2
+    exit 1
+  fi
+  printf '%s' "$output"
+}
+
+make_mock_nvidia_smi
+
+single_compose="${TMP_DIR}/single.yml"
+dual_compose="${TMP_DIR}/dual.yml"
+quad_compose="${TMP_DIR}/quad.yml"
+gemma_single="${TMP_DIR}/gemma-single.yml"
+missing_meta="${TMP_DIR}/missing.yml"
+
+make_compose "$single_compose" 24 1 1
+make_compose "$dual_compose" 24 2 2
+make_compose "$quad_compose" 24 4 4
+make_compose "$gemma_single" 32 1 1 "9.0+"
+echo "services: {}" > "$missing_meta"
+
+# 1. Matched 2x3090 + TP=1 compose: pass, deterministic GPU 0 selection.
+MOCK_GPU_QUERY=$'0, NVIDIA GeForce RTX 3090, 24576, 8.6\n1, NVIDIA GeForce RTX 3090, 24576, 8.6'
+MOCK_GPU_FREE_QUERY=$'0, 24000, 24576\n1, 24000, 24576'
+export MOCK_GPU_QUERY MOCK_GPU_FREE_QUERY
+
+out="$(run_case "$single_compose" "vllm/default")"
+assert_contains "$out" "auto-selected GPU 0"
+assert_contains "$out" "NVIDIA_VISIBLE_DEVICES=0"
+
+# 2. Matched 2x3090 + TP=2 compose: pass.
+out="$(run_case "$dual_compose" "vllm/dual")"
+assert_contains "$out" "TP=2 requires 2 GPU(s)"
+assert_contains "$out" "STATUS=ok"
+
+# 3. Matched 2x3090 + TP=4 compose: hard fail.
+out="$(expect_failure "$quad_compose" "vllm/dual4")"
+assert_contains "$out" "requires 4 visible GPU(s)"
+
+# 4. 1x3090 + TP=2 compose: hard fail.
+MOCK_GPU_QUERY=$'0, NVIDIA GeForce RTX 3090, 24576, 8.6'
+MOCK_GPU_FREE_QUERY=$'0, 24000, 24576'
+export MOCK_GPU_QUERY MOCK_GPU_FREE_QUERY
+
+out="$(expect_failure "$dual_compose" "vllm/dual")"
+assert_contains "$out" "requires 2 visible GPU(s)"
+
+# 5. 1x3090 + TP=1, 24 GB floor: pass.
+out="$(run_case "$single_compose" "vllm/default")"
+assert_contains "$out" "auto-selected GPU 0"
+assert_contains "$out" "STATUS=ok"
+
+# 6. 16 GB + 24 GB + TP=1: auto-select the 24 GB card.
+MOCK_GPU_QUERY=$'0, RTX 4060 Ti, 16384, 8.9\n1, NVIDIA GeForce RTX 3090, 24576, 8.6'
+MOCK_GPU_FREE_QUERY=$'0, 16000, 16384\n1, 24000, 24576'
+export MOCK_GPU_QUERY MOCK_GPU_FREE_QUERY
+
+out="$(run_case "$single_compose" "vllm/default")"
+assert_contains "$out" "auto-selected GPU 1"
+assert_contains "$out" "NVIDIA_VISIBLE_DEVICES=1"
+
+# 7. 16 GB + 24 GB + TP=2: warn, then proceed for tuned sub-24 GB rigs.
+out="$(run_case "$dual_compose" "vllm/dual")"
+assert_contains "$out" "WARN:"
+assert_contains "$out" "TP=2"
+assert_contains "$out" "STATUS=ok"
+
+# 8. 1x3090 + TP=1 compose with 32 GB + sm_9.0+ floor: hard fail.
+MOCK_GPU_QUERY=$'0, NVIDIA GeForce RTX 3090, 24576, 8.6'
+MOCK_GPU_FREE_QUERY=$'0, 24000, 24576'
+export MOCK_GPU_QUERY MOCK_GPU_FREE_QUERY
+
+out="$(expect_failure "$gemma_single" "vllm/gemma-mtp-tp1")"
+assert_contains "$out" "requires one GPU with >=32 GB VRAM, sm_9.0+"
+
+# 9. 1xH100 + TP=1 compose with sm_9.0+ floor: pass.
+MOCK_GPU_QUERY=$'0, NVIDIA H100 80GB HBM3, 81920, 9.0'
+MOCK_GPU_FREE_QUERY=$'0, 80000, 81920'
+export MOCK_GPU_QUERY MOCK_GPU_FREE_QUERY
+
+out="$(run_case "$gemma_single" "vllm/gemma-mtp-tp1")"
+assert_contains "$out" "auto-selected GPU 0"
+assert_contains "$out" "STATUS=ok"
+
+# 10. --force skips the hardware gate.
+out="$(run_case "$gemma_single" "vllm/gemma-mtp-tp1" 1)"
+assert_contains "$out" "hardware: skipped"
+assert_contains "$out" "STATUS=ok"
+
+# 11. Missing metadata warns and allows.
+out="$(run_case "$missing_meta" "vllm/local")"
+assert_contains "$out" "no hardware metadata"
+assert_contains "$out" "STATUS=ok"
+
+echo "test-preflight-vram: ok"

scripts/tests/test-submit-bench.sh

@@ -0,0 +1,111 @@
+#!/usr/bin/env bash
+set -euo pipefail
+
+ROOT_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")/../.." && pwd)"
+cd "$ROOT_DIR"
+
+# shellcheck source=../lib/bench-row-formatter.sh
+source "$ROOT_DIR/scripts/lib/bench-row-formatter.sh"
+
+assert_contains() {
+  local haystack="$1"
+  local needle="$2"
+  if [[ "$haystack" != *"$needle"* ]]; then
+    echo "ASSERTION FAILED: expected output to contain: $needle" >&2
+    echo "--- output ---" >&2
+    echo "$haystack" >&2
+    exit 1
+  fi
+}
+
+assert_columns() {
+  local row="$1"
+  local expected="$2"
+  local cols
+  cols="$(awk -F'|' '{print NF - 2}' <<< "$row")"
+  if [[ "$cols" != "$expected" ]]; then
+    echo "ASSERTION FAILED: expected $expected columns, got $cols" >&2
+    echo "$row" >&2
+    exit 1
+  fi
+}
+
+fixtures=()
+while IFS= read -r fixture; do
+  fixtures+=("$fixture")
+done < <(bench_row_fixtures)
+
+if [[ "${#fixtures[@]}" -lt 6 ]]; then
+  echo "ASSERTION FAILED: expected at least 6 submit-bench fixtures, found ${#fixtures[@]}" >&2
+  exit 1
+fi
+
+for dir in "${fixtures[@]}"; do
+  section="$(bench_row_section "$dir")"
+  row="$(bench_row_format "$dir")"
+  [[ "$row" == \|*\| ]] || {
+    echo "ASSERTION FAILED: row is not a markdown table row for $dir" >&2
+    echo "$row" >&2
+    exit 1
+  }
+  assert_contains "$row" "Report: \`results/rebench/${dir##*/}/REPORT.md\`"
+  if [[ "$section" == "Gemma 4 31B (community-experimental)" ]]; then
+    assert_columns "$row" 10
+  else
+    assert_columns "$row" 8
+  fi
+done
+
+tag="qwen-int8-pth-n4-2026-05-10"
+rm -f "results/rebench/${tag}/BENCHMARKS-row.md" \
+      "results/rebench/${tag}/PR-body.md" \
+      "results/rebench/${tag}/ISSUE-body.md" \
+      "results/rebench/${tag}/auto-submit-mock.log"
+
+out="$(bash scripts/submit-bench.sh --tag "$tag")"
+assert_contains "$out" "Generated BENCHMARKS row for section: Dual-card (2× RTX 3090, TP=2)"
+assert_contains "$out" "Wrote: results/rebench/${tag}/BENCHMARKS-row.md"
+assert_contains "$out" "1. Issue + maintainer integrates"
+assert_contains "$out" "2. Direct PR"
+assert_contains "$out" "3. Manual edit"
+test -s "results/rebench/${tag}/BENCHMARKS-row.md"
+
+if out="$(bash scripts/submit-bench.sh --tag does-not-exist 2>&1)"; then
+  echo "ASSERTION FAILED: missing tag unexpectedly succeeded" >&2
+  exit 1
+fi
+assert_contains "$out" "tag dir not found: results/rebench/does-not-exist"
+
+out="$(GH_MOCK=1 GH_MOCK_USER=octocat bash scripts/submit-bench.sh --tag "$tag" --auto-submit)"
+assert_contains "$out" "Issue title: [bench] @octocat ${tag}"
+test -s "results/rebench/${tag}/auto-submit-mock.log"
+assert_contains "$(cat "results/rebench/${tag}/auto-submit-mock.log")" "gh issue create --title [bench] @octocat ${tag}"
+test -s "results/rebench/${tag}/ISSUE-body.md"
+assert_contains "$(cat "results/rebench/${tag}/ISSUE-body.md")" "results/rebench/${tag}/REPORT.md"
+assert_contains "$(cat "results/rebench/${tag}/ISSUE-body.md")" "Proposed BENCHMARKS.md row"
+
+out="$(GH_MOCK=1 GH_MOCK_USER=octocat bash scripts/submit-bench.sh --tag "$tag" --auto-submit --as-pr)"
+assert_contains "$out" "PR title: bench(matrix): @octocat ${tag}"
+test -s "results/rebench/${tag}/PR-body.md"
+assert_contains "$(cat "results/rebench/${tag}/auto-submit-mock.log")" "gh pr create --title bench(matrix): @octocat ${tag}"
+assert_contains "$(cat "results/rebench/${tag}/PR-body.md")" "results/rebench/${tag}/REPORT.md"
+
+tmp_bin="$(mktemp -d)"
+trap 'rm -rf "$tmp_bin"; rm -f "results/rebench/${tag}/BENCHMARKS-row.md" "results/rebench/${tag}/PR-body.md" "results/rebench/${tag}/ISSUE-body.md" "results/rebench/${tag}/auto-submit-mock.log"' EXIT
+cat > "${tmp_bin}/gh" <<'MOCK_GH'
+#!/usr/bin/env bash
+if [[ "$1" == "auth" && "$2" == "status" ]]; then
+  exit 1
+fi
+echo "unexpected gh call: $*" >&2
+exit 2
+MOCK_GH
+chmod +x "${tmp_bin}/gh"
+
+if out="$(PATH="${tmp_bin}:${PATH}" bash scripts/submit-bench.sh --tag "$tag" --auto-submit 2>&1)"; then
+  echo "ASSERTION FAILED: unauthenticated gh path unexpectedly succeeded" >&2
+  exit 1
+fi
+assert_contains "$out" "not authed with gh. Run: gh auth login"
+
+echo "test-submit-bench: ok"