7248ccb605caf53b40bc25cc474b94de7be88668
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Commits
| Author | SHA1 | Message | Date | |
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 noonghunnaandClaude Opus 4.8
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8ffa46d51d |
setup.sh: add diffusiongemma-26b-a4b dispatch (fetch fp8 weights)
#358 wired the registry/profile/patches but missed setup.sh's own hardcoded per-model dispatch, so `setup.sh diffusiongemma-26b-a4b` errored 'unsupported model'. Add the model_label, the main weights dispatch (PRIMARY_WEIGHT_KEY= diffusiongemma-26b-a4b:fp8 — fp8-only, default WEIGHTS=autoround is a no-op), the Supported: list, and a next-steps hint (switch.sh --force / gpu-mode dgemma). Verified: weights.py entry diffusiongemma-26b-a4b:fp8 → RedHatAI/diffusiongemma-26B-A4B-it-FP8-dynamic; test-model-weights-registry green. Completes the 'users can use setup' wiring. Co-Authored-By: Claude Opus 4.8 <[email protected]> |
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noonghunna
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b327f0311a |
refactor(gemma): rename dual slugs + ladder gemma-bf16-mtp to 131K (#286)
Rename vllm/gemma-int8→gemma-int8-mtp + vllm/gemma-mtp→gemma-bf16-mtp (both carry MTP n=4; only KV format differs); kv-calc alias fix. Ladder gemma-bf16-mtp default 32K→131K (measured BF16 KV pool 196,527 tok @ 0.95; verify-stress 8/8, NIAH→120K, bench 118.8/154.3, zero TPS regression). Codify the dual-card max-context-priority rule in DUAL_CARD.md. Suite 41/41. |
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noonghunna
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4ff14090c9 |
Gemma vLLM -> v0.22.0: bump dual gemma-mtp, deprecate gemma-mtp-tp1 (#278)
Bump vllm/gemma-mtp (dual, bf16+MTP) to stable v0.22.0 (validated 5/5 coherent). Deprecate vllm/gemma-mtp-tp1: fp8 KV is hardware-impossible for Gemma 4 on Ampere sm_86 (fp8e4nv kernel unsupported; fp8_e5m2 rejected by gemma4 attention allowlist; nvfp4 Blackwell-only), live-confirmed on v0.22.0. Remove the dead DEFAULTS[(gemma-4-31b,vllm,single)] row; repoint launch/setup/preflight single-card Gemma -> beellama/gemma-dflash. Also fixes a pre-existing unterminated NEXT_STEPS_NOTE string in setup.sh's gemma-4-31b arm. Suite 38/38. |
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04f6a1a358 |
setup.sh: reject extra positional args instead of silently ignoring them (#273)
setup.sh reads only the first positional (the model) and DOWNLOADS WEIGHTS; it does not select or boot a serving config. A stray second arg — commonly a launch slug like `vllm/int8` — was silently dropped. In issue #250 a user ran `setup.sh gemma-4-31b vllm/int8`; the slug was ignored, and when the real failure surfaced (a purged-nightly compose pin, since fixed in the v0.21.0 repin) they mis-attributed it to the setup command. Silently swallowing the arg reinforced the wrong mental model. Now any positional beyond the model errors (exit 64) with a pointer to the launch path (`launch.sh --variant <slug>` / `switch.sh <slug>` / `--list`). `both` recurses with a single arg, so it's unaffected. switch.sh and launch.sh already guard this (second positional → "multiple variants supplied"); setup.sh was the only gap. Co-authored-by: noonghunna <[email protected]> Co-authored-by: Claude Opus 4.8 (1M context) <[email protected]> |
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noonghunnaandClaude Opus 4.8
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45686808cb |
Prune Gemma vLLM variants (9->3) and pin survivors to v0.21.0
Every gemma-4-31b vLLM compose pinned a purged Docker Hub nightly (e47c98ef / bf610c2f), un-bootable for fresh users (#250, #167 class). Prune the 9-variant set to 3 and repoint survivors onto the immutable stable release tag vllm/vllm-openai:v0.21.0 (never :latest). Survivors: vllm/gemma-mtp (bf16 dual, default), vllm/gemma-int8 (int8-PTH dual), vllm/gemma-mtp-tp1 (fp8 single). Dropped: gemma-dflash, gemma-dflash-int8, gemma-int8-tq3, gemma-bf16, gemma-awq; the 262K path folds into gemma-int8 via a CTX env override. Gemma is decoupled from the shared Qwen nightly profiles via a new vllm-gemma-stable engine profile; Qwen nightly profiles are untouched. Diagnose decoupling: the pruned gemma dflash patch dirs doubled as the diagnose tool's cross-model disk-source proxies for two Qwen overlays (vllm-pr41703-dflash, vllm-pr42102-dflash-kv-quant). Those capabilities are image-baked in the pinned nightly, not mountable files, so mark them image_baked and have diagnose skip the disk-source check for image-baked overlays. Runtime-neutral (no Qwen compose mounts them). switch.sh launcher: handle the new VLLM_IMAGE engine-pin export (the twin loop in launch.sh had it; switch.sh did not -> "unexpected engine pin export"), and guard the VLLM_NIGHTLY_SHA echo for the image-only stable profile (was unbound under set -u). Validated on 2x RTX 3090 (Ampere, v0.21.0): full scripts/tests/*.sh suite 35/0; live boots of gemma-mtp (bf16) and gemma-int8 serve coherent output, qwen vllm/dual regression-clean. gemma-mtp-tp1 (fp8_e4m3) is correctly SM-gated (required_sm=9.0) -- confirmed Ampere-incompatible (Triton "fp8e4nv not supported on sm_86"), a documented 32 GB+/Hopper variant; beellama remains the single-card gemma path on Ampere. Refs #451, #250, #167. Co-Authored-By: Claude Opus 4.8 (1M context) <[email protected]> |
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noonghunnaandClaude Opus 4.7
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9821c94efb |
refactor(compose): insert <quant> layer + make the registry the single source of truth
Restructure all 47 composes to models/<model>/<engine>/compose/<topology>/<quant-slug>/<serving>.yml and centralize defaults as registry pointers. Move + path-rewire only — no compose runtime-config changes (plus the +1 ../ depth bump each moved file requires, and descriptive names for the former docker-compose.yml defaults). - <quant-slug> = 1:1 with a weights artifact == compose_registry weights_variant == weights.py key (provider-quant form). Fixes the prior coarse `gguf` and the bf16/int8-files-mislabeled-as-autoround_int4 weights_variant. - default = DEFAULTS[(model,engine,topology)] pointer in compose_registry.py; no default.yml / docker-compose.yml. KV-dtype variants (bf16/int8) stay as files under autoround-int4/. - +1 ../ on every relative mount in moved composes (cache/patches/scripts/models-cache). - Rewired: compose_registry (47 compose_path + weights_variant + DEFAULTS), launch.sh, gpu-mode.sh, bench-row-formatter, profile *.yml, generate_compose.py, weights.py (+ back-compat ALIASES), AGENTS.md, ADDING_MODELS.md, BENCHMARKS + doc path refs. - New guard tests: test-compose-registry-disk.sh, test-compose-mounts-resolve.sh. - Variant keys (vllm/dual, ik-llama/iq4ks-mtp, ...) unchanged — launch/switch UX preserved. Validation: docker compose config 47/47 · parity/launch-compat/registry-disk/ mounts-resolve/profiles-compat/model-weights-registry PASS · kv-calc 22/22 · leak-clean. Co-Authored-By: Claude Opus 4.7 (1M context) <[email protected]> |
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noonghunna
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5f37ae6d4d | Add profile-backed model weight fetch registry | ||
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deb8dc4812 |
feat(setup): WEIGHTS=gguf to fetch the llama.cpp GGUF (not just the vLLM model) (#191)
setup.sh only ever downloaded the AutoRound *vLLM* weights, so llama.cpp / ik_llama users had to know to hf-download the GGUF themselves (the "scripts assume vLLM" gap, surfaced in #187). Add an opt-in WEIGHTS=gguf that swaps to the unsloth Q4_K_M MTP GGUF + mmproj, downloads just those files (a GGUF repo holds many quants), skips Genesis (llama.cpp doesn't need it), and SHA-verifies *.gguf via the same HF x-linked-etag mechanism. Default (WEIGHTS=autoround) is byte-identical to before — opt-in only, can't affect existing users. Verified: bash -n; autoround dry-run unchanged; gguf dry-run resolves unsloth/Qwen3.6-27B-GGUF + Q4_K_M.gguf/mmproj-F16.gguf → qwen3.6-27b-gguf/unsloth-mtp-q4km + skips Genesis; bad WEIGHTS rejected. The emitted hf command matches the one users already run successfully by hand. Co-authored-by: noonghunna <[email protected]> Co-authored-by: Claude Opus 4.7 (1M context) <[email protected]> |
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noonghunna
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12a33fbdd1 | feat(scripts): add hardware-aware setup picker | ||
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noonghunnaandClaude Opus 4.7
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3909c2d6b8 |
feat(setup): interactive MODEL_DIR prompt for fresh TTY users
Previously setup.sh silently defaulted MODEL_DIR to <repo>/models-cache, which meant fresh users got ~14-21 GB of model weights downloaded INTO their git tree without realizing it. The relative path is also wrong when run from anywhere except the repo root. New 4-step resolution order in setup.sh: 1. MODEL_DIR exported in calling shell → use as-is (unchanged) 2. .env at repo root sets MODEL_DIR → source it (NEW) 3. Interactive prompt (only on TTY) → ask user (NEW) 4. Silent fallback to <repo>/models-cache (unchanged for non-TTY) The interactive prompt only fires when: - MODEL_DIR is not in the calling env, AND - .env doesn't already set it, AND - both stdin AND stdout are TTYs (CI / scripted runs unaffected) Three options offered: 1. <repo>/models-cache (the old silent default — kept as option) 2. $HOME/models (sensible cross-rig default) 3. custom absolute path After picking, optionally persists the choice to .env (gitignored) so re-runs skip the prompt. Existing .env files are updated in-place if they already set MODEL_DIR; appended-to otherwise. Closes the UX hole RobH589 hit in club-3090#116 — the relative ../../../../../models-cache default that was resolving wrong when not run from the compose dir. Co-Authored-By: Claude Opus 4.7 (1M context) <[email protected]> |
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noonghunnaandClaude Opus 4.7
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00366a58d7 |
reorg: services/ consolidation + gpu-mode under git + ComfyUI + pin tracker + path updates
Release / release (push) Failing after 53s
The dev rig had grown across three home dirs (`/opt/ai/compose/`, `/opt/ai/github/`,
`/home/wasif/`) and three repos (single-3090, dual-3090, club-3090). Disk-out
on `/` (97% used) forced a cleanup; rather than just prune, we consolidated
the layout across the whole stack while we were at it. This commit captures
what landed inside this repo.
Services consolidation:
- services/{ollama,openwebui,litellm,qdrant,searxng}/ migrated in from
/opt/ai/compose/<svc>/ (zero functional change — same docker-compose.yml).
- services/litellm/config.yaml rewritten: explicit routes for current
primaries (qwen3.6-27b-autoround → :8010, gemma-4-31b-autoround → :8030).
Removed `* → ollama/*` wildcard.
- services/comfyui/ migrated in (was /opt/ai/compose/comfyui/) — wired into
gpu-mode with full mutex against vLLM/SGLang.
scripts/gpu-mode.sh under git:
- Was a loose /opt/ai/gpu-mode.sh outside any repo. Symlinked at
/usr/local/bin/gpu-mode.
- Five Gemma 4 31B modes added: gemma, gemma-dflash, gemma-int8,
gemma-dflash-int8, gemma-awq.
- One ComfyUI mode (mutex with all LLM serving).
- prune / prune-all subcommands (safe image prune; aggressive variant adds
build cache --keep-storage 5GB + dangling networks).
- gpu-mode status now shows Docker disk + /var/lib/docker + /tmp sizes.
- compose_at() passes --env-file <repo>/.env so MODEL_DIR resolves
regardless of which compose dir gpu-mode cd's into. Fixes the recurring
"MODEL_DIR not set, defaulting to ../../../../../models-cache" warning.
- stderr no longer swallowed by compose_at() (real errors surface).
- Cross-model VRAM mutex: every Qwen mode stop_all_gemma + stop_comfyui
and vice-versa.
scripts/maintenance/ — new hygiene-tools subdir:
- list-image-pins.sh: engine-agnostic pin auditor. Scans every compose's
`image:` line, groups by `<repo>:<tag>`, flags pin-drift (multiple tags
per repo), ranks composes by patch surface.
Pin tracking:
- docs/UPSTREAM.md gains a "Pinned images" section: table of every pinned
image, why each pin exists, retirement candidate criteria.
- docs/NIGHTLY_BUMP_RUNBOOK.md (new): 7-step procedure for bumping pinned
engine images (scope → branch → patch survival → boot → verify-full +
verify-stress → bench delta → land → retire). Engine-specific notes
for vLLM nightly hashes, llama.cpp digest pinning, SGLang variants.
Path updates from the engine + model dir consolidation:
- /opt/ai/vllm-src/ → /opt/ai/engines/vllm/primary/
(in setup.sh, INTERNALS.md, several patch READMEs, docs/HARDWARE.md,
docs/FAQ.md, docs/DUAL_CARD.md, docs/UPSTREAM.md, models/qwen3.6-27b/
CHANGELOG.md)
- /mnt/models/gguf/qwen3.6-27b/ → /mnt/models/huggingface/qwen3.6-27b-gguf/
(in models/qwen3.6-27b/llama-cpp/{compose/single/*.yml, recipes/*.sh,
README.md}, docs/engines/LLAMA_CPP.md)
CHANGELOG.md narrative gap fill:
- 2026-05-10 entry for this reorg.
- 2026-05-09 entry for compose convention formalization (topology
promoted to dir level, profile schema, Status enum + Caveats, cliff
CI swap, Discord launch).
- 2026-05-08 entry for Gemma 4 INT8 PTH unblock + 262K validation.
- 2026-05-07 entry for power-cap-sweep campaign + HARDWARE.md cross-rig
charts + cross-rig benchmark rows.
Co-Authored-By: Claude Opus 4.7 (1M context) <[email protected]>
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noonghunnaandClaude Opus 4.7
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acd7ffb67c |
restructure: promote topology to a directory level (single/dual/multi4)
Compose files now live under `<model>/<engine>/compose/<topology>/<file>.yml`, with topology as a folder rather than a filename prefix. Solves all 7 inconsistencies surfaced in the post-rename audit (single-card composes without `single-` prefix, unsuffixed `docker-compose.yml` ambiguity, fine-tunes encoding model name in filename, etc.) by making the directory hierarchy enforce the convention. Layout: models/<model>/<engine>/compose/<topology>/<feature>.yml Where: - <model>: qwen3.6-27b, gemma-4-31b - <engine>: vllm, llama-cpp, sglang - <topology>: single, dual, multi3, multi4, multi8 - <feature>: docker-compose.yml (default) | turbo.yml | dflash.yml | etc. Each topology subdir has a `docker-compose.yml` for the recommended starter — bare `cd <topology> && docker compose up` works because docker compose finds that filename automatically. Variants drop the `docker-compose.` prefix since they're invoked via `-f` flag. 27 compose file moves total: - 18 Qwen vLLM composes redistributed across single/dual/multi4 - 2 Qwen llama-cpp composes into single/ - 6 Gemma vLLM composes redistributed across single/dual - 1 untracked qwopus-bf16mtp moved to dual/ Inside each compose: relative paths to `../patches/` and `../cache/` bumped to `../../patches/` / `../../cache/`, and `../../../../models-cache` to `../../../../../models-cache` (one extra `..` for the new depth). Reference updates across 148 files (BENCHMARKS, all docs, CHANGELOGs, sibling-table cross-references in compose headers, scripts, patch READMEs, .github issue templates, tools/residency-instrument). scripts/switch.sh VARIANTS map updated; tags themselves unchanged (`vllm/dual` → `dual/docker-compose.yml`, `vllm/dual4` → `multi4/docker-compose.yml`, `vllm/gemma-mtp` → `gemma-4-31b/.../dual/docker-compose.yml`, etc.). AGENTS.md "Compose layout" section rewritten to describe the new hierarchy, with concrete examples and the fine-tune exception (`dual/carnice-bf16mtp.yml` carries the fine-tune name as a filename prefix until the fine-tune graduates to its own model directory). All switch.sh paths verified to resolve to actual files post-move. Co-Authored-By: Claude Opus 4.7 (1M context) <[email protected]> |
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noonghunnaandClaude Opus 4.7
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fe86b48c21 |
docs+composes: align Gemma 4 compose names to Qwen's <topology>-<feature>.yml convention
Rename the 4 shipped Gemma composes to drop the redundant `gemma-` prefix
(model is already named by the parent directory `models/gemma-4-31b/`):
- gemma-mtp.yml → dual.yml (recommended default, MTP implicit
— matches Qwen's `dual.yml` shape)
- gemma-mtp-int8.yml → dual-int8.yml (MTP + INT8 PTH KV variant)
- gemma-mtp-tp1.yml → single.yml (TP=1 single-card variant — boot
OOMs on Ampere 24 GB; for 32 GB+ only)
- gemma-dflash.yml → dual-dflash.yml (DFlash drafter variant — same shape
as Qwen's `dual-dflash.yml`)
Convention going forward (matches what Qwen has done since launch):
- File name: `<topology>-<feature>.yml`, model implied by parent directory
- Topology: `single` | `dual` | `dual-nvlink` | `dual4` | etc.
- Feature suffix: `-turbo` | `-dflash` | `-int8` | `-awq` | etc.
Registry tags in `scripts/switch.sh` keep their existing names
(`vllm/gemma-mtp`, `vllm/gemma-mtp-tp1`, `vllm/gemma-dflash`) — only the
file paths in the VARIANTS map are updated. This preserves backward
compat for users running `bash scripts/switch.sh vllm/gemma-mtp` etc.
Container names (`vllm-gemma-4-31b-mtp` etc.) are unchanged — they already
include the model name in the `vllm-<model>-<feature>` form, so no rename
needed there.
Plus continuing the at-a-glance profile schema rollout from
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noonghunna
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4861ee7b6b |
setup.sh: auto-create .env for WSL2 boot-crash workaround (#60)
WSL2 + driver ≥596.36 + vLLM nightly hit gptq_marlin_repack with cudaErrorNotReady on boot. PR #84 added PYTORCH_CUDA_ALLOC_CONF override to all 14 composes, but the compose default is still `expandable_segments:True,max_split_size_mb:512` (correct for bare-metal). WSL2 users have to know about the override and create .env manually — they typically don't, hit the crash, and end up filing issues like #60. @timxx confirmed today (after driver upgrade unblocked Marlin OOM but exposed cudaErrorNotReady from a different call site) that `PYTORCH_CUDA_ALLOC_CONF=expandable_segments:False` is the right workaround. He had to set it manually because no .env existed. Fix: setup.sh now detects WSL2 (via `microsoft` in /proc/version) and auto-creates models/<model>/vllm/compose/.env with the override. Safe no-op on bare-metal (detection is `grep -qi microsoft /proc/version`). Idempotent: warns if .env exists without the override; confirms ✓ if already present. Verified: syntax OK, runs cleanly. Cross-rig validated by @timxx (WSL2 + driver 596.36) + @easel (5090 mobile box, similar config). |
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noonghunna
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dd3bcccb05 |
setup.sh: add gemma-4-31b model support (#89)
@apnar (#89) tried `scripts/setup.sh gemma-4-31b` and hit "unsupported model" — only qwen3.6-27b was wired into the dispatch despite the gemma-4-31b/ tree having shipping composes (gemma-mtp.yml + gemma-mtp-tp1.yml + gemma-dflash.yml landed in master since 2026-05-05). Adds gemma-4-31b case dispatch: - Target: Intel/gemma-4-31B-it-int4-AutoRound (21.2 GB, vision preserved) → MODEL_DIR/gemma-4-31b-autoround-int4/ - Always-required drafter: google/gemma-4-31B-it-assistant (0.5B / 927 MB BF16) → MODEL_DIR/gemma-4-31b-it-assistant/. Required by gemma-mtp.yml per Google's canonical Gemma 4 recipe. - Optional DFlash drafter (WITH_DFLASH_DRAFT=1): z-lab/gemma-4-31B-it-dflash (2.9 GB BF16) → MODEL_DIR/gemma-4-31b-it-dflash/ - NEEDS_GENESIS=0 — Sander's roadmap (disc #19) lists Gemma 4 integration as a follow-up. Until v7.73.x or later integrates it, skip Genesis clone entirely. The "[genesis] doesn't use Genesis — skipping clone." line is the user-visible signal. Two new internal variables to keep the case dispatch declarative: - ALWAYS_DRAFT_REPO / ALWAYS_DRAFT_SUBDIR — drafter that the model REQUIRES (vs the optional WITH_DFLASH_DRAFT path) - DFLASH_REPO_OVERRIDE / DFLASH_SUBDIR_OVERRIDE — per-model dflash drafter paths (Gemma 4 has its own z-lab repo, distinct from Qwen3.6's) Final "Next steps" output is now per-model — Gemma 4 points at scripts/switch.sh variants (vllm/gemma-mtp, /gemma-mtp-tp1, /gemma-dflash) and the right port (8030) + served-model-name (gemma-4-31b-autoround). Smoke-tested: - bash -n PASS - SKIP_MODEL=1 SKIP_GENESIS=1 bash scripts/setup.sh gemma-4-31b → dispatches cleanly, "Genesis skipping clone" message fires, no errors - bad model name still rejected with the updated supported list - Qwen3.6 path unchanged (regression-tested) |
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c6e6163901 |
release(v7.72.2-uplift): Genesis pin + vLLM pin + sidecar consolidation (#59)
Aligns club-3090 with Sandermage's Genesis v7.72.2 release (2026-05-05) which shipped 7 new patches (PN59-PN67), v7.72.1 P68 xgrammar-incompat auto-skip, and v7.72.2 PN70 schema-subset filter. Pin bumps: - scripts/setup.sh GENESIS_PIN: 2db18df (v7.69) → 7b9fd319 (v7.72.2) - All 16 composes vLLM image: nightly-7a1eb8ac2 → nightly-01d4d1ad3 (Sander's PROD-validated pin, Genesis allowlist entry #2) 6 local sidecars deleted (Genesis natives supersede): - patch_inputs_embeds_optional.py → PN35 (vllm#35975 backport) - patch_pn30_dst_shaped_temp_fix.py → PN30 v7.68 - patch_pn25_genesis_register_fix.py → PN25 - patch_tolist_cudagraph.py → P78 (Sander's v7.72 CHANGELOG retires this) - patch_workspace_lock_disable.py → PN34 - patch_pr40798_workspace.py → research artifact, no compose mounted it 7 Genesis-loaded composes (yml, dual-turbo, long-text, long-text-no-mtp, long-vision, bounded-thinking, tools-text) had volume mounts and entry- point shell invocations cleaned up; GENESIS_ENABLE_PN59_STREAMING_GDN=1 added to all 7 for consistency. dual.yml left intentionally Genesis-free as a debugging fallback for cross-engine bisect — useful when isolating "is this Genesis or upstream vLLM" during silent-empty / OOM triage. Bench (dual-turbo, 2× 3090, single-stream, 5 measured runs each): - Narrative wall TPS: 81.21 (CV 2.3%), AL 3.46 - Code wall TPS: 108.20 (CV 0.9%) - VRAM/card: 20.0 GB (-2.1 GB vs v7.69 baseline of 22.1) - All 8/8 verify-full checks pass - verify-stress 6/7 (probe 7 = known TQ3 borderline at 60K, container alive throughout — not a regression) Cross-rig finding filed as Sandermage/genesis-vllm-patches#22 — PN59 streaming-GDN doesn't engage on chunked-prefill on Ampere consumer: its eligibility check rejects calls with chunk_indices/chunk_offsets populated, which vLLM's mandatory --max-num-batched-tokens 4128 always sets on 24 GB single-card configs. PN59 falls back to _vanilla_path which OOMs at the same chunk_o.py:161 site PN59 was meant to eliminate. Single-card 24 GB Cliff 2b is therefore unchanged — workaround is dual.yml/dual-turbo.yml (TP=2) or llamacpp/default. Docs warnings placed across README, docs/CLIFFS, docs/HARDWARE, docs/SINGLE_CARD, docs/FAQ, docs/UPSTREAM, BENCHMARKS, and the 3 affected single-card compose YAMLs. v7.72.1 closes #57 (lex's xgrammar-patternProperties fire on long-prompt agentic IDE traffic). Co-authored-by: noonghunna <[email protected]> Co-authored-by: Claude Opus 4.7 (1M context) <[email protected]> |
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noonghunnaandClaude Opus 4.7
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2f8ed197ce |
fix: 3 issues from community feedback
- setup.sh: demote `preflight_docker` from hard ✗ to soft ⚠. setup.sh fetches genesis + models but never invokes docker until launch.sh / `docker compose up`, so hard-failing blocks non-docker container-runtime users (microk8s, podman, k8s, manual) for no reason. launch.sh keeps the hard check because it actually invokes docker. Reported in disc #48 (apnar). - dual-turbo.yml: default `GENESIS_ENABLE_P87=0`. The marlin pad-sub-tile-n fix is already vendored at ../patches/vllm-marlin-pad/marlin.py and RO-mounted over the target file (lines 53-54). Letting Genesis re-do the patch fails with [Errno 30] read-only filesystem and `set -e` propagates exit-1 from `apply_all` before `vllm serve` runs. Reported in #49 (lexhoefsloot). - CLIFFS.md: top-level pin header now says "Genesis v7.69 (2db18df)" instead of v7.66 (fc89395). Master moved to v7.69 on 2026-05-02 PM (Sander cut v7.69 with all 3 cross-rig sidecars accept-and-folded; full closure recipe was already documented in the v7.69 section, just the top-of-file header + the older v7.68 verdict line + table caption hadn't been updated). Removed the duplicated v7.66 stub section (lines 60-66 + 68-103 were the same paragraph twice). setup.sh:140 has been on `2db18df` already. Reported in #49 (lexhoefsloot). Co-Authored-By: Claude Opus 4.7 (1M context) <[email protected]> |
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noonghunnaandClaude Opus 4.7
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b6c8708209 |
feat(preflight): compose-dependency + HF_TOKEN + KV-format checks (#37, #47, #219)
Closes the UX gap raised by @snoby on #37 — previously, launching a compose that needs the DFlash draft model without first running WITH_DFLASH_DRAFT=1 setup.sh would fail with vLLM's generic "Invalid repository ID or local directory" pydantic error. Adds three new preflight functions in scripts/preflight.sh: 1. preflight_hf_token (soft warn) — wired into setup.sh before the model download. Catches missing HF_TOKEN early and tells the user exactly what to do (visit hf.co/settings/tokens, accept T&C, export the token). Skip via PREFLIGHT_NO_HF_TOKEN=1. 2. preflight_compose_deps (hard error) — wired into switch.sh just before docker compose up. Parses the target compose YAML for known model-path patterns (qwen3.6-27b-dflash, qwen3.6-27b-mtp-head, qwen3.6-27b-autoround-int4) and verifies each exists on host. If missing, emits a clear "Fix:" line with the exact setup.sh invocation needed (e.g. WITH_DFLASH_DRAFT=1). Refuses to proceed with exit 1. Skip via PREFLIGHT_NO_COMPOSE_DEPS=1. 3. preflight_kv_format_hint (soft warn) — wired into switch.sh as the last pre-up check. Detects smallest VRAM via nvidia-smi; if <24 GB and the target compose uses turboquant_3bit_nc KV, emits the @efschu finding from #47 (TQ3 → fp8_e5m2 swap rule) with cross-link to docs/HARDWARE.md + a tools/kv-calc.py one-liner to predict the user's specific config. Skip via PREFLIGHT_NO_KV_HINT=1. Tested on this rig: - HF_TOKEN unset → warns - Missing DFlash dir → hard errors with WITH_DFLASH_DRAFT=1 hint - Missing main model → hard errors with generic setup.sh hint - 24 GB rig + TQ3 compose → silent (correct, TQ3 is right pick) - Simulated 20 GB rig + TQ3 compose → fires the fp8_e5m2 hint All preflights are individually skippable via PREFLIGHT_NO_<NAME>=1 env vars (matches existing PREFLIGHT_NO_FETCH=1 / PREFLIGHT_NO_GENESIS_PIN=1 patterns). Co-Authored-By: Claude Opus 4.7 (1M context) <[email protected]> |
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noonghunnaandClaude Opus 4.7
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d8b341fa8c |
refactor: vendor vllm#40361 Marlin patched files in-repo (drops /opt/ai/vllm-src/ host dep)
Closes the deeper architectural concern @snoby raised in #37: the host-mount of /opt/ai/vllm-src/...marlin.py was a "works on the maintainer's machine" pattern. Auto-cloning at setup time (commit |
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noonghunnaandClaude Opus 4.7
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2e934ad18a |
fix(setup.sh): auto-clone vllm-src Marlin patched fork (was manual step)
Reported in #37 by @snoby — the dual-card vLLM composes mount two patched files from /opt/ai/vllm-src/ (our vllm#40361 PR — Marlin pad- sub-tile-n) which the user has to clone manually. The setup.sh script PRINTED the instruction but didn't run it. Quick-start advertised "clone + setup + compose up" but for dual-card paths, an additional manual `git clone` was required. Not turnkey. Adds a WITH_MARLIN_PATCH=1 (default-on) env-var following the existing WITH_DFLASH_DRAFT=1 pattern. Clones the patched fork to /opt/ai/vllm-src/ automatically during setup.sh, with sudo fallback for /opt/ai dir creation. ~30 MB shallow clone — harmless overhead for single-card users who'll never mount it. Set WITH_MARLIN_PATCH=0 to skip explicitly (e.g., users without sudo access to /opt/ai). Setup will print a warning that dual-card composes will fail to boot without the patch. Idempotent: if /opt/ai/vllm-src/.git already exists, fetches + checks out the marlin-pad-sub-tile-n branch instead of re-cloning. Drops out as a dependency when vllm#40361 lands upstream — at which point we'd remove the env-var, the host mounts in dual composes, and the /opt/ai/vllm-src/ directory. The bigger architectural fix snoby's report points at — converting the host-mount to a runtime patch sidecar (like patch_tolist_cudagraph.py) to fully eliminate the host filesystem dependency — is a separate refactor. This commit just closes the most painful UX gap (manual step hidden in setup output) without that bigger surgery. Co-Authored-By: Claude Opus 4.7 (1M context) <[email protected]> |
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noonghunnaandClaude Opus 4.7
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f6613c869a |
v7.69 + #35975 + Codex P103 gate fix — Cliff 2 closure recipes
Six rounds of cross-rig bisect with Codex/ChatGPT diagnosis closes Cliff 2 at 60K on TP=1 + 24GB. Two shippable variants: Balanced MTP (long-text.yml updated): - Genesis v7.69 dev tip (commit 2db18df) - Codex r1 P103 gate fix applied to nested Genesis tree (cu_seqlens=[0,T] treated as dense single-seq, not multi-seq varlen). Sent to Sander as v7.70 proposal — diff in /tmp/cliff2_v770_cu_seqlens_response.md. - vllm#35975 backport sidecar (patch_inputs_embeds_optional.py) - mem-util 0.93 (down from 0.95) - max_model_len 180000 (admission ceiling at this mem-util) - MTP K=3 retained - 60K probe: HTTP 200 in 623s, recall correct, MTP AL=4.00 Max-context safety (long-text-no-mtp.yml — NEW): - Same patches, but MTP off + mem-util 0.95 - max_model_len 200000 (admission unlocked by removing MTP residency) - 60K probe: HTTP 200 in 537s, recall correct - 90K probe: indeterminate within 25-min curl budget - For long single-shot RAG / codebase analysis Diagnostic chain: 1. Codex r1 identified P103 gate as too broad (cu_seqlens != None bypasses chunking even for single-seq [0,T] case). Applied fix. 2. T=4128 distribution showed chunked path never engages on real serving (vLLM's outer chunked-prefill caps T well below MAX_T). 3. Codex r2: real Cliff 2 source is residency, not gate logic. 4. PR #35975 backport (skip inputs_embeds for text-only) frees 444 MiB at boot — necessary but not sufficient at 0.95 mem-util. 5. mem-util sweep at 0.92/0.93 with MTP+#35975 closed Cliff 2 at 60K. 6. MTP-off + 0.95 + 200K admission validated max-context variant. Codex's P103 gate fix is semantically correct and worth shipping in Genesis v7.70 even though it's not what closes 60K Cliff 2 on this config (the FLA call sees T=4128 already, well below MAX_T). Full diagnostic trail: results/v0.20-migration/v769-codex-r1-test.summary Co-Authored-By: Claude Opus 4.7 (1M context) <[email protected]> |
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noonghunnaandClaude Opus 4.7
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eb54cf4e68 |
fix(dflash): close the docs+setup gap that hit @lolren on club-3090#18
@lolren reported 25 TPS on dual-dflash.yml vs 80+ on dual.yml — root cause was that scripts/setup.sh doesn't download the DFlash draft model (z-lab/Qwen3.6-27B-DFlash), and the compose path /root/.cache/huggingface/qwen3.6-27b-dflash silently fell back to baseline bf16 decode when missing. There was no docs page that told users they needed to grab it separately, and UPSTREAM.md's "watch list" framing for the z-lab draft was muddled with the shipping vLLM compose. Three closes: 1. scripts/setup.sh — new WITH_DFLASH_DRAFT=1 env var. When set, fetches z-lab/Qwen3.6-27B-DFlash to <MODEL_DIR>/qwen3.6-27b-dflash/ after the main model. Bumps disk preflight from 25 to 28 GB. Documents that the draft is still under training (per UPSTREAM.md re-test trigger). 2. docker-compose.dual-dflash.yml + dual-dflash-noviz.yml headers — added explicit "Prerequisite" block with both `WITH_DFLASH_DRAFT=1` and manual `hf download` instructions, plus the under-training caveat. 3. docs/UPSTREAM.md + docs/DUAL_CARD.md — reconciled the inconsistency. UPSTREAM.md now explicitly distinguishes "Luce-Org/lucebox-hub (single-card llama.cpp fork — not shipping)" from "vLLM dual-dflash compose (shipping with same draft, different engine)". DUAL_CARD.md's peak code TPS section now flags the prereq + recommends dual.yml (FP8 + MTP) for autonomous coding agents until z-lab tags training-complete. Co-Authored-By: Claude Opus 4.7 (1M context) <[email protected]> |
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noonghunnaandClaude Opus 4.7
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7a7efbea0d |
bump Genesis pin 753344b → fc89395 (v7.66 dev tip)
v7.66 ships 3 new patches relevant to our config:
- PN33 (default ON): spec-decode warmup K-aware sizing, vllm#37521 backport
EXTENDED beyond EAGLE to cover MTP/ngram. Sander claimed it closes both
ampersandru's mid-stream OOM AND our workspace_lock AssertionError.
- PN25 v7.66: refactored from `@torch.library.custom_op` to
`direct_register_custom_op` + `Library("genesis", "FRAGMENT")` at module
level. Schema introspection at import time eliminates the
`infer_schema skipped frame` Dynamo crash class.
- PN32 (default OFF): GDN chunked-prefill for Cliff 2 single-24GB-GPU OOM.
Cross-rig validation findings on 1×3090 TP=1
--------------------------------------------
**PN33 partial — narrows but does not close workspace_lock on TP=1.**
Sander's claim was that PN33 closes both ampersandru's mid-stream OOM
AND our workspace_lock AssertionError. Tested both:
| Test | PN33 result |
|--------------------------------------------|------------------|
| Engine boot (profile_run workspace lock) | ✅ closed |
| Runtime decode (`turboquant_attn.py:1350`) | ❌ still fires |
Engine boots cleanly without `patch_workspace_lock_disable.py` sidecar
when PN33 is on, BUT the first decode request crashes with the same
`AssertionError: Workspace is locked but allocation from
turboquant_attn.py:1350:_decode_attention requires 0.76 MB`.
Net: keep `patch_workspace_lock_disable.py` sidecar mounted. PN33
narrows the bug surface but doesn't close it for our config.
**PN25 v7.66 still doesn't work on TP=1.**
Sander's `direct_register_custom_op` + `Library("genesis", "FRAGMENT")`
approach replaces v7.65's `@torch.library.custom_op`, eliminating the
`infer_schema` skipped-frame issue. But on TP=1 the new failure mode is
`Library("genesis", "FRAGMENT")` itself failing inside dynamo trace at
`instantiate_user_defined_class_object` (different mechanism, same root
cause: Library construction inside trace context disallowed on TP=1).
Net: keep `patch_pn25_genesis_register_fix.py` v3 (import-time approach).
Our patch text-patches activation.py to register the op at module-import
time as a cached global, BEFORE any trace context exists. Survives both
the v7.65 `@custom_op` and v7.66 `Library` failure modes because we
register outside the trace entirely.
**PN30 dst-shaped temp fix carries forward cleanly.**
Our `patch_pn30_dst_shaped_temp_fix.py` anchor still matches v7.66's
PN30 wiring file. All 4 TQ3 composes still pass probes 4 + 5 (multi-turn
agent, LCB-coding) which would otherwise crash with Sander's upstream
PN30 a9977d8 (compact `.contiguous()` row-stride corruption — see
genesis-vllm-patches#17 reply for the diagnosis).
**PN31 still doesn't fit on 24 GB.** Same memory pressure as v7.65 round.
Validation matrix on v7.66
--------------------------
| Compose | Probes (verify-stress.sh) |
|--------------------|-------------------------------------------|
| long-text | 6/7 ✅ (Cliff 2 only fail) |
| long-vision | 6/7 ✅ (Cliff 2 only fail) |
| bounded-thinking | 6/7 ✅ (Cliff 2 only fail) |
| dual-turbo (TP=2) | 6/7 ✅ (Cliff 2 only fail) |
Same coverage as v7.65 + our patches. No new regressions on v7.66.
Net effect of pin bump
----------------------
- Get Sander's v7.66 + PN33 (validated improvement, even if partial)
- Get PN32 available for opt-in (Cliff 2 mitigation, untested by us)
- Same 3 local sidecars retained (PN25 v3, PN30 fix, workspace_lock)
- No simplification possible yet
Per-config + cross-rig summary in
results/v0.20-migration/v766-pin-results.summary.
Co-Authored-By: Claude Opus 4.7 (1M context) <[email protected]>
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9af1a5245a |
PN30 dst-shaped temp fix: close DS conv state regression class on long-text
Background
----------
Sander shipped Genesis PN30 (a9977d8) to fix the `NotImplementedError` in
`vllm/model_executor/layers/mamba/mamba_utils.py:get_conv_copy_spec` that
fires on DS layout + spec-decode `num_accepted_tokens > 1`. PN30 materializes
`state[src_block_id, :, offset:].contiguous()` and raw-memcpys it into
`state[dest_block_id]`.
ChatGPT/Codex CLI cross-checked the patch and identified a layout-correctness
bug: PN30's `.contiguous()` produces a compact buffer (10240×5 for our config
at offset=1), but the destination block is strided by full state_len (10240×6).
Raw-memcpy packs the compact rows into a layout where row 1+ start at the
wrong destination offset → corrupts DS conv state row strides → eventual TQ
store CUDA assert at probe 4 (multi-turn agent shape) was the surfacing point,
not the root offender.
The corrected fix lives in `collect_mamba_copy_meta`, where both source and
destination block ids are known. For DS conv offset > 0:
tmp = state[dest_block_id].clone()
tmp[..., :tail].copy_(state[src_block_id, ..., offset:])
Then batch-memcpy the full tmp block to `state[dest_block_id]`. Preserves DS
row stride. Reuses PN30's existing module-level temp tensor list + post-batch
stream sync + clear lifecycle (no churn there).
What this commit adds
---------------------
1. **`patch_pn30_dst_shaped_temp_fix.py`** — setup-time text-patch over the
Genesis PN30 wiring file. Patches three sub-patches:
- `pN30_collect_mamba_copy_meta_dst_shaped_temp` (NEW) — adds dst-shaped
temp construction + lifecycle hookup in `collect_mamba_copy_meta`.
- `pN30_get_conv_copy_spec_contiguous` (modified) — old compact `.contiguous()`
fast path now fails closed with a clear error if the collect-time bypass
is ever missed; prevents silent corruption.
- `pN30_module_level_state` + `pN30_do_mamba_copy_block_cleanup` (unchanged)
reused as-is.
444 lines, idempotent via marker. Diagnosis credit: ChatGPT/Codex CLI.
2. **`scripts/setup.sh`** — invokes the PN30 patch after the Genesis checkout,
alongside the existing PN25 register-fix sidecar. Both run automatically
on `bash scripts/setup.sh qwen3.6-27b` after every fresh setup.
3. **`docker-compose.long-text.yml`** — re-enables `VLLM_SSM_CONV_STATE_LAYOUT=DS`
+ `GENESIS_ENABLE_PN30_DS_LAYOUT_SPEC_DECODE=1`, restores `--max-model-len=180000`
from the 145K SD-fallback. Net: +6% TPS and +35K context recovered.
4. **`scripts/verify-stress.sh`** — Cliff 2 (60K + 90K large rungs) deferred
to probe 7 so engine death from architectural OOM doesn't cascade-fail
probes 2-6. Probe 3 strictness relaxed: any HTTP 200 passes, since the
bug class (Cliff 1 mech B inductor leak) surfaces as 500, not low token
counts. The previous strict assertion was an over-applied lesson from the
andthattoo structured-CoT bench (where token count *was* meaningful).
5. **Other 3 TQ3 composes** (long-vision / bounded-thinking / dual-turbo) —
DS layout disable comments updated to point at the now-working PN30 fix.
These composes still need PN25/PN30 enable + per-config validation; this
commit ships long-text only as the validated path.
Validation (long-text 180K + 0.95 mem-util + DS + PN25 v3 + PN30 fix)
---------------------------------------------------------------------
verify-stress.sh fresh-engine run, all 7 probes:
| Probe | Result | Notes |
|--------------------------------------|--------|------------------------------------|
| 1 small needle (10K + 30K) | ✅ | activation budget safe |
| 2 25K tool RETURN | ✅ | sufficient activation headroom |
| 3 IDE-agent one-shot | ✅ | 66 tokens, finish=stop (probe-design fix) |
| 4 multi-turn agent | ✅ | **closed by PN30 fix** |
| 5 LCB-coding | ✅ | **closed by PN30 fix** |
| 6 reasoning 8192 | ✅ | 8192 tokens, finish=length |
| 7 large needle (60K + 90K) | ❌ | Cliff 2 architectural — expected |
6/7 pass. The 1 failure is architectural (DeltaNet GDN forward state OOM at
50-60K single-prompt on 24 GB single card) — pre-tracked, no fix possible
on single card.
Co-Authored-By: Claude Opus 4.7 (1M context) <[email protected]>
Co-Authored-By: Codex CLI (ChatGPT) <[email protected]>
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noonghunnaandClaude Opus 4.7
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2b5ab4d0cf |
Genesis pin d89a089 → 753344b + cross-rig validation of Sander's PN30/PN31
Bumps GENESIS_PIN to Sander's latest dev tip (`753344b`), which contains his fixes for the 3 issues we filed today: - d92bcb3 — PN25 worker-fork registration (#16) - a9977d8 — PN30 DS conv state + spec-decode AL>1 (#17) - 753344b — PN31 FA varlen persistent out buffer (#15) Cross-rig validation findings on 1×3090 TP=1 -------------------------------------------- **Sander's d92bcb3 PN25 fix does NOT work on TP=1.** His `hasattr(torch.ops. genesis, ...)` global-registry guard relies on C++ state surviving spawn, which empirically does NOT happen on our config (whereas it apparently does on his TP=2 PROD). Same `infer_schema` crash trace as before. → Keeping our local v3 patch (`patch_pn25_genesis_register_fix.py`) which takes a different approach: register at activation.py import time as a module-level cached global, before any dynamo trace. This works on TP=1. Reported back on Sandermage/genesis-vllm-patches#16. **PN31 (FA varlen persistent `out` buffer) doesn't fit on 24 GB.** Per-shape persistent buffers grow as new prompt shapes appear during prefill. Combined with PN12+PN25's FFN intermediate pool residence, the 24 GB activation budget runs out at DeltaNet `chunk_fwd_o` (50 MiB needed at 30K depth). Sander explicitly warned in 753344b he couldn't validate on 24 GB. → Disabled in compose. Use tools-text.yml (fp8 path) for 25K+ tool-RETURN workloads. Reported back on Sandermage/genesis-vllm-patches#15. **PN30 (DS conv state + spec-decode AL>1) introduces a regression on multi-turn agent shapes.** With PN30 enabled, multi-turn agent prompts crash with a CUDA device-side assert in `triton_turboquant_store.py:425` (`v_flat = value.float().reshape(NH, D)`). Sander warned PN30 needed cross-rig validation because his PROD doesn't exercise the offset>0 path; this is the regression he asked us to surface. → Disabled in compose. Reported back on Sandermage/genesis-vllm-patches#17. What works on long-text 180K + 0.95 + PN25 v3 (no PN30, no PN31) ---------------------------------------------------------------- | Probe | Result | Notes | |-----------------------------|--------|------------------------------------| | 1.1 Long-ctx needle 9.8K | ✅ | activation budget safe | | 1.2 Long-ctx needle 29K | ✅ | activation budget safe at 30K | | 1.3 Long-ctx needle 60K | ❌ | Cliff 2 architectural (DeltaNet) | | 2 25K tool RETURN | ✅ | passes at 0.95 mem-util | | 3 IDE-agent one-shot | ✅ | **Closed by PN25 v3** | | 4 Multi-turn agent | ⚠️ | DS conv state — flaky on probe seq | | 5 LCB-coding | ❌ | DS conv state (Sander #17 unfixed) | | 6 Reasoning-heavy 8192 | ✅ | pure reasoning works clean | Probes 1.3 + 5 are pre-tracked. Probe 4 is non-deterministic — passes on fresh-boot single-request but crashes when run in sequence after probes 1+2+3 (DS conv state path activation may depend on engine state). Sander #17 still tracks the DS conv state class. Changes in this commit ---------------------- - `scripts/setup.sh`: GENESIS_PIN d89a089 → 753344b. Re-added PN25 v3 patch invocation (Sander's d92bcb3 doesn't transfer to TP=1). - `docker-compose.long-text.yml`: PN30 + PN31 explicitly disabled with cross-rig regression notes. mem-util kept at 0.95 (validated config). Co-Authored-By: Claude Opus 4.7 (1M context) <[email protected]> |
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a62ad78a4e |
PN25 v3: close Cliff 1 mech B (club-3090#16) on long-text via setup-time Genesis backport
Background ---------- Cliff 1 mech B is the inductor-compiled FFN intermediate buffer leak that PN12 (eager-mode SiluAndMul.forward_cuda pool) doesn't reach. vLLM v0.20 with `compilation_config.custom_ops=["none"]` dispatches SiluAndMul through forward_native, which Inductor inlines and lowers to raw `empty_strided_cuda( (s, intermediate_size), ...)` — bypassing PN12's FFNIntermediateCache pool. Result: real IDE-agent prompts (sys-prompt + tool schemas + user request) crashed long-text/long-vision/bounded-thinking with 138 MiB FFN OOM at the inductor cache site. VolandBerlioz's Reddit reproducer + our local synthetic both confirmed. Sander shipped Genesis PN25 to address this — registers `silu_and_mul` as a `torch.library.custom_op` so Inductor treats it as opaque (can't inline). But PN25 hit a worker-fork registration bug under spawn: `_register_op_once()` called from inside dynamo trace → `@custom_op` decorator → `infer_schema()` → dynamo refuses to trace. Filed Sander/genesis-vllm-patches#16 with the trace + analysis. What this commit adds --------------------- A setup-time backport that lets us enable PN25 NOW, before Sander's upstream fix lands in our pinned version (or in case it doesn't transfer to TP=1). Two parts in `patch_pn25_genesis_register_fix.py`: 1. **Genesis-side change** to `silu_and_mul_customop.py`: hardened `get_op_callable()` to return None if called during dynamo tracing (defensive — shouldn't happen if part 2 works). 2. **Wiring change** to `patch_N25_silu_inductor_safe_pool.py`: text-patches `vllm/model_executor/layers/activation.py` to import the customop module and cache the op as a module-level global at activation.py import time. The patched `forward_native` body just reads `_GENESIS_PN25_SILU_AND_MUL_OP` — no import + no registration during the dynamo trace. Worker module-import happens during model construction in vLLM, BEFORE profile_run enters aot_compile_fullgraph. Registration runs in eager Python at startup; subsequent forward calls just read the cached global. Wired into setup.sh after Genesis checkout. Idempotent via marker. Also in this commit ------------------- - **long-text.yml backed off 214K + 0.985 → 180K + 0.95.** PN25's pool keeps the FFN buffer resident (~140 MiB persistent), which tightens activation budget at OTHER peaks (DeltaNet `chunk_fwd_o`). 0.985 left only 26 MiB free at 30K probe — OOM. 0.95 frees ~480 MiB for activation comfort. Net memory accounting: PN25 is a strict win on KV pool because vLLM's profile_run measures lower activation peak (no fresh FFN alloc), so KV pool grows. Max concurrency at 180K: 1.07x without PN25 → 1.49x with PN25 + 0.95 (or 1.64x at 0.97 if we'd held it). - **verify-stress.sh probe 3 hardened.** Was using tool_choice="auto" which let the model emit a tool_call and exit before the long-reasoning path that triggers the bug. Now uses tool_choice="none" + temperature=0 + asserts completion_tokens >= 200 to ensure the inductor compile path actually exercises during the test. Validation on long-text 180K + 0.95 + PN25 v3 --------------------------------------------- | Probe | Result | Notes | |---------------------------------|--------|----------------------------------| | 1.1 Long-ctx needle 9.8K | ✅ PASS | activation budget safe | | 1.2 Long-ctx needle 29K | ✅ PASS | activation budget safe at 30K | | 1.3 Long-ctx needle 60K | ❌ FAIL | Cliff 2 architectural (DeltaNet) | | 2 25K tool RETURN | ❌ FAIL | FA varlen workspace (Sander #15) | | 3 IDE-agent one-shot | ✅ PASS | **Closed by PN25 v3** ⭐ | | 4 Multi-turn agent | ✅ PASS | **Closed by PN25 v3** ⭐ | | 5 LCB-coding | ❌ FAIL | DS conv state (Sander #17) | | 6 Reasoning-heavy 8192 | ✅ PASS | pure reasoning works clean | The 4 failures are pre-tracked separately: - Cliff 2 (#1.3): architectural, no fix at single-card; route to dual or llama.cpp - 25K tool RETURN (#2): Sander shipped PN31 (`753344b`) — pending our cross-rig - LCB-coding (#5): Sander shipped PN30 (`a9977d8`) — pending our cross-rig Sander has since shipped PN25 fix upstream (`d92bcb3` on dev) using a slightly different approach (hasattr check on global registry). Once our pin bumps to that commit, this local v3 patch becomes redundant — drop it and remove the setup.sh hook in a follow-up. Other 3 TQ3 composes (long-vision/bounded-thinking/dual-turbo) are NOT PN25-enabled in this commit pending validation. Long-text is the only compose with PN25 active + verified. Co-Authored-By: Claude Opus 4.7 (1M context) <[email protected]> Co-Authored-By: Codex CLI (ChatGPT) <[email protected]> |
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noonghunnaandClaude Opus 4.7
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5aa97a25d9 |
v0.20 migration + Genesis v7.65 dev tip + cold-start cache + env-var alignment
This branch migrates the entire vLLM stack from `dev205+g07351e088` + Genesis
v7.64 to `0.20.1rc1.dev16+g7a1eb8ac2` + Genesis v7.65 dev tip (commit
`d89a089`). v7.65 is on Sandermage's `dev` branch — explicitly the cross-rig
testing surface he requested in discussion #19; he'll merge dev→main once we
both confirm stable. Pin gates restated when that lands.
What changes
------------
Pin migration:
- vLLM image: nightly-07351e08... → nightly-7a1eb8ac2... (dev205 → v0.20.1rc1.dev16)
- Genesis: 64dd18b (v7.64) → d89a089 (v7.65 dev tip)
Sidecar churn:
- DROPPED: patch_pn12_ffn_pool_anchor.py (PN12 native on v0.20)
- DROPPED: patch_pn12_compile_safe_custom_op.py (Genesis P38B in-source hook)
- DROPPED: patch_fa_max_seqlen_clamp.py (Genesis PN17 + P15B)
- ADDED: patch_workspace_lock_disable.py (relaxes vllm#39226 strict assertion;
P98 covers same surface but auto-skips on v0.20 due to drift-marker false
positive — pending Sandermage marker fix)
Env-var alignment to Sandermage's PROD set (start_27b_int4_TQ_k8v4.sh@dev):
- FIXED naming bugs that silently no-op'd patches:
- PN9_INDEPENDENT_DRAFTER_ATT → _ATTN (was silently OFF)
- PN22 → PN22_LOCAL_ARGMAX_TP (was silently OFF)
- PN26_BLOCK_KV → PN26_SPARSE_V_BLOCK_KV (fell back to default 4, not 8)
- PN26_NUM_WARPS → PN26_SPARSE_V_NUM_WARPS
- PN26_THRESHOLD → PN26_SPARSE_V_THRESHOLD (fell back to default 0.001, not 0.01)
- ADDED explicit-OFFs to match Sander's PROD verbatim:
- P78_TOLIST_CAPTURE_GUARD=0 (we use our own patch_tolist_cudagraph.py)
- P81_FP8_BLOCK_SCALED_M_LE_8=0 (FP8-specific, no-op on TQ3)
- P82=0, P82_THRESHOLD_SINGLE=0.3
- Cap divergence (justified): PROFILE_RUN_CAP_M=4128 + PREALLOC_TOKEN_BUDGET=4128
(Sander uses 4096 — vLLM `interface.py:639` forces our config's Mamba
block_size to 4128 due to TQ3 + TP=1 page-size math; lower values
AssertionError at boot)
- Carry-forward (intentional): P4 (hybrid TQ required), P65 (TQ spec-CG
downgrade — pending v0.20 verification that #40880 closure makes it
redundant)
Cold-start cache mounts (closes #22):
- All 10 composes now mount torch_compile_cache + Triton cache from
`models/qwen3.6-27b/vllm/cache/`. First boot warms (~6 min); warm boot
drops to ~3.2 min (47% faster). Per-stage savings on long-text:
- Dynamo bytecode transform: 18s → 5s (-73%)
- torch.compile: 57s → 9s (-85%)
- Initial profiling/warmup: 51s → 7s (-87%)
Mamba block_size cap fix:
- v0.20 enforces `long_prefill_token_threshold >= block_size`; on hybrid
Mamba+TQ3, vLLM forces block_size=4128. Bumped GENESIS_PROFILE_RUN_CAP_M
and PREALLOC_TOKEN_BUDGET 4096→4128 across all 5 main composes.
Default 48K compose:
- Required workspace_lock_disable sidecar after initial v0.20 boot hit
vllm#39226 strict assertion. Caught during validation, fixed.
Context restored vs dev205 backoffs (validated 33K + 50K stress on v0.20):
- long-text: 185K → 214K (+16%)
- long-vision: 140K → 198K (+41%)
- bounded-thinking: 185K → 214K (+16%)
Bench results (n=5, results/v0.20-migration/):
- long-text 214K narr 49.74 / code 67.39 (CV 2.6/2.7%)
- long-vision 198K narr 50.32 / code 66.12 (CV 2.3/4.1%)
- bounded-thinking 214K narr 49.77 / code 65.80 (CV 1.4/2.3%)
- tools-text 75K (fp8) narr 53.32 / code 69.66 (CV 2.3/1.4%)
- dual-turbo 262K (TP=2) narr 58.33 / code 76.01 per-stream
269 TPS aggregate at n=4 streams (3.63x speedup)
- default 48K narr 48.82 / code 65.98 (n=3)
Validation: verify-full 8/8 on every variant. verify-stress 33K AND 50K
tool-prefill PASS on every variant — the cliff that fired on EVERY dev205
config no longer reproduces.
Docs + charts:
- README + SINGLE_CARD + DUAL_CARD + CLIFFS + EXAMPLES + STRUCTURED_COT
+ FAQ + UPSTREAM + 3 engine docs + model README + INTERNALS + CHANGELOG
all updated with new pin, ctx, TPS numbers, and "v0.20 unblock" section
- performance.{png,svg} + variants regenerated with measured TPS
- vram-budget.{png,svg} + variants regenerated with measured VRAM
- UPSTREAM tracker: 5 issues moved ✅ closed (PR #12, #13, #14, #15, P104
superseded by PN17 + P15B)
Issues addressed:
- #16 (Cliff 1 mech B leaks past PN12 on inductor-compiled FFN) — partial:
v0.20's revised TQ FA paths close the synthetic stress; PN25 (Sander's
proper compile-path opaque-op fix) is on dev but explicitly opt-in pending
worker-fork registration fix. Workarounds documented (tools-text fp8 path
/ --enforce-eager) until Sander ships PN25 default-on.
- #20 (launch.sh port + container-name mismatch) — already closed by
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noonghunnaandClaude Opus 4.7
|
53d0663a50 |
genesis: bump pin v7.62 → v7.64 + add compile-safe FFN sidecar (#16)
Setup script: pin updated 917519b → 64dd18b. Verified clean on tools-text
(75K + fp8 KV + MTP, PN8 enabled): verify-full.sh 8/8 + verify-stress.sh
tool-prefill OK. v7.64 release notes adopted: PN17 is Sandermage's anchored
version of our P104 sidecar (FA2 softmax_lse runtime clamp), PN19 sets
max_split_size_mb=20 during model load.
long-text.yml (218K + 0.985 + TQ3 + MTP):
- Genesis pin v7.64 (PN17 enabled, PN19 disabled — costs ~120 MiB KV pool
on Ampere consumer; the documented "200-500 MiB win on H100" is negative
on our hardware).
- Drops max-model-len 218000 → 205000 because PN17 reserves ~120 MiB of KV
pool space at boot ("estimated maximum model length is 206400" is the
engine pre-check failure mode otherwise).
- P104 sidecar (patch_fa_max_seqlen_clamp.py) kept mounted but env-disabled;
PN17 covers the same path via Sandermage's anchored fix. Flip the env
var back on if PN17 turns out not to cover turboquant_attn.py for some
config.
- Mounts new patch_pn12_compile_safe_custom_op.py — opaque torch.library
custom_op for the inductor-compiled forward_native FFN path that the
eager-mode forward_cuda sidecar can't reach (issue #16, mech B). Only
active when GENESIS_ENABLE_PN12_FFN_INTERMEDIATE_POOL=1; harmless when
off. Forward_native body simplified to a single static-guard branch on
module-level _PN12_ENABLED so Dynamo specializes at trace time instead
of compiling both branches (the else-branch's plain F.silu/mul lowers
to empty_strided_cuda, defeating the patch).
verify-stress.sh: fixed silent false-positive where check_tool_prefill
returned 0 even after fail() because rm -f cleanup clobbered $? — now
captures rc before cleanup and propagates.
CLIFFS.md: cross-reference Sandermage's broader 8-cliff catalog and add
"vLLM pin compatibility status" section documenting the v0.20 workspace-
lock regression (PR #39226) that blocks our config and is unrelated to
Cliff 1/2.
Co-Authored-By: Claude Opus 4.7 (1M context) <[email protected]>
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noonghunna
|
2f8bade82c |
fix(docs): bump curl smoke-test max_tokens 30 → 200 (#14)
Qwen3.6 thinks before answering by default, so a "Capital of France?" smoke with max_tokens=30 returns truncated mid-`<think>` content. apnar hit this on a working stack (verify-full.sh all green) and wasted time debugging a non-bug. Bump all 7 user-facing curl examples to max_tokens=200 (covers a typical think block + the one-sentence answer with headroom). verify-full.sh / verify.sh / verify-stress.sh stay at max_tokens=30 because they already pass chat_template_kwargs.enable_thinking=false, which skips the think block entirely. EXAMPLES.md gets an inline note explaining the headroom + the alternative (disable thinking via chat_template_kwargs) for users who want a tighter smoke. |
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noonghunnaandClaude Opus 4.7
|
37a4895f6d |
Remove fast-chat.yml; extend P68/P69 disable to default
fast-chat (20K, fp8, vision) and default docker-compose.yml (48K, TQ3, vision) had effectively the same TPS post-PN8. fast-chat's only remaining differentiator was "smaller context = ~3s faster boot," and 20K is actively bad for IDE-agent users (Copilot tool-schema preamble alone hits 20K). Net negative — removed. Default compose was missed in the previous P68/P69 fix — it had the same env vars enabled and the same silent-stop bug above 8000 chars. Both now disabled with the same explanatory comment. Updated: - scripts/switch.sh, scripts/launch.sh — drop the variant - docs/SINGLE_CARD.md, FAQ.md, engines/VLLM.md, model + vllm + patches READMEs — references removed or pointed to default/tools-text - All sibling compose YAML "see also" tables — fast-chat row removed, tools-text row repurposed for IDE-agent guidance - CHANGELOG entry; old historical entries kept as-is (append-only) Co-Authored-By: Claude Opus 4.7 (1M context) <[email protected]> |
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noonghunnaandClaude Opus 4.7
|
abc06c3e33 |
UX polish: pre-flight checks + cards-first wizard + PNG embeds
- scripts/preflight.sh (new) — sourceable library: docker, GPU >= N, disk free, GPU-idle warning, running-container note. Each error has an actionable Fix: hint instead of a cryptic mid-run crash. - scripts/setup.sh + scripts/launch.sh wire pre-flight in early. launch.sh adds --no-preflight escape hatch. - launch.sh wizard inverted: cards → workload → auto-pick engine. Newcomers can answer "how many GPUs" and "what do I want to do" but rarely "vLLM or llama.cpp" — engine falls out of the pick with a one-paragraph why. --engine override still works (filters the workload list to that engine). - Embedded charts swapped SVG → PNG in README + SINGLE_CARD + DUAL_CARD + qwen3.6-27b/README. Clicking a PNG on GitHub opens a viewable image; SVGs open as raw XML. SVG remains the editable source — re-export PNG when SVG changes. Co-Authored-By: Claude Opus 4.7 (1M context) <[email protected]> |
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|
noonghunnaandClaude Opus 4.7
|
51a4001af7 |
Genesis v7.62.x + PN8 on FP8 paths (closes Cliff 1 on tools-text)
scripts/setup.sh — GENESIS_PIN bumped from bf667c7 (v7.54) to 917519b (v7.62.x release, 2026-04-29). New patches: PN8 (MTP draft online-quant propagation, backport of vllm#40849), PN11 (Quentin-M streaming tool-call IndexError fix vllm#41142), per-GPU profile auto-rec, k8v4 unlock on hybrid GDN via P4+P98. PN8 enabled on FP8 paths only: - tools-text.yml: -900 MiB at boot, Cliff 1 25K tool prefill closes, -7% code TPS. Net win — production-safe for tool-using agents. - fast-chat.yml: -800 MiB at boot, no cliff to test at 20K, -4.7% code TPS. Free VRAM is useful for tighter mem-util configs. PN8 not enabled on TQ3 paths (default 48K, long-vision, long-text) or dual configs: - default 48K: PN8 is no-op on TQ3 + 0.92 (plenty of headroom already) - long-vision: PN8 grows KV pool 230 MiB and lifts engine ceiling 192K → 198K, but does NOT close Cliff 1 — the 138 MiB allocate is an FFN intermediate-buffer activation peak (intermediate_size × max-num- batched-tokens), not a draft-model footprint - long-text: engine ceiling at 206K is gated by attention-block-size divisor, not KV; PN8 has nothing to give - dual.yml: deliberately Genesis-less by design; not worth restructuring Verify-full passes on default 48K + v7.62.x without PN8 (8/8). Verify- stress on tools-text + PN8 passes all checks including the 25K tool prefill that was the launch-tweet headline caveat. Cross-rig data shared with Sandermage: https://github.com/noonghunna/qwen36-27b-single-3090/issues/1#issuecomment-4343317153 Docs updated: cross-cutting CHANGELOG, per-model CHANGELOG, USE_CASES.md (Cliff 1 closure note on tools-text), FAQ.md (Cliff 1 entry + new PN8 entry). Co-Authored-By: Claude Opus 4.7 (1M context) <[email protected]> |
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noonghunnaandClaude Opus 4.7
|
ec704e4e2e |
Pin Genesis to exact tested commit + add .env.example + issue templates
- setup.sh: GENESIS_PIN now defaults to commit bf667c7 (Genesis HEAD as of 2026-04-27, semver "v7.54"). This is the exact tree our published TPS numbers were measured against; tagged v7.51-stable was one minor older but came up first because the SHA isn't durable. Switch to commit pin removes the doc-vs-runtime mismatch. Clone strategy adjusted since --branch + --depth 1 doesn't accept SHAs. - .env.example: documents MODEL_DIR / HF_TOKEN / CUDA_VISIBLE_DEVICES / MEM_UTIL / MAX_MODEL_LEN / GENESIS_PIN / SKIP_GENESIS / URL / WARMUPS / RUNS with the same defaults the composes ship. Pure opt-in. - .github/ISSUE_TEMPLATE/: bug-report.yml requires docker logs --tail 100, verify-full.sh output, nvidia-smi, GPU config, compose variant, repo commit. numbers-from-your-rig.yml structures cross-rig TPS contributions with rig spec, bench output, VRAM, max ctx, and notes. config.yml routes Q&A to Discussions. - .gitignore: drop trailing slash on genesis pattern so it also ignores local symlinks that some of us point at out-of-tree clones. Co-Authored-By: Claude Opus 4.7 (1M context) <[email protected]> |
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noonghunna
|
0f33561b6b |
Audit + reconcile dual-card compose headers, patches README, setup output
After the user flagged "are you validating all composer files" — ran a
full dry-run audit of all 9 composes via docker compose config, extracted
key flags (TP, max_len, mem_util, KV dtype, spec-decode), and found
several doc-vs-code mismatches inherited from the predecessor repos.
Compose header fixes:
- docker-compose.dual.yml — header described it as inheriting from
"single-card project's default", said "fp8 is plenty for 64K"
(stale — file actually does 262K). Updated to reflect: this IS the
dual-card default, fp8 is plenty for full 262K, plus a variant matrix
showing all 4 dual files with their actual TPS / streams / KV / vision.
- docker-compose.dual-turbo.yml — header claimed kv-cache-dtype was
`turboquant_3bit_nc` but the file actually ships `turboquant_k8v4`.
This mismatch was in the predecessor too; we kept the file (not the
header) since k8v4 is what was tested. Updated header to reflect
reality + noted the predecessor doc claim for archaeology.
- docker-compose.dual-dflash.yml — header said max_model_len "drops
from 262K to 16K" (stale dev-cycle comment); actual is 185K. Fixed.
Also added: KV cache is FP16 (DFlash + head_size=256 + non-causal
has no fp8/turbo Ampere backend), the bfloat16 dtype workaround for
vllm#40334, and clear positioning vs the noviz variant.
- docker-compose.dual-dflash-noviz.yml — minor: file path in "to run"
pointed at the old compose/ dir; updated to new layout path.
patches/README.md — was framed as dual-card-only ("we don't run
Genesis here") but the patches dir is now shared across single and
dual variants. Rewrote with a per-patch + per-variant matrix:
- patch_tolist_cudagraph.py: single-default + dual-turbo
- patch_pr40798_workspace.py: research artifact, no compose mounts
- genesis/: single-default + tools-text + dual-turbo
- Marlin pad fork (external /opt/ai/vllm-src/): all 4 dual composes
Added a Genesis env-opts table showing per-patch toggles and which
composes enable each.
scripts/setup.sh — final-output Next-steps block referenced the OLD
relative path `cd compose && docker compose up -d`, which would fail
in the new layout. Updated to:
cd models/<model>/vllm/compose && docker compose up -d
Plus added a clear note about the Marlin pad fork dependency for
dual-card composes (with the git-clone command users need to run
once before booting any dual-card variant).
YAML validation: `docker compose config` passes for all 9 composes
with MODEL_DIR set. Volume paths resolve, env vars substitute, no
syntax errors. Single-card default smoke-tested earlier (10/10
verify-full.sh checks pass); dual-card composes pass YAML validation
but require a 2× 3090 rig to actually boot — left for cross-rig users
to confirm.
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|
noonghunna
|
7f00e52140 |
Pin Genesis version + fix MODEL_DIR defaults + clean stale headers
Three related fixes for the post-restructure layout to actually work: 1. Pin Genesis to a tested tag (addresses walmis #8) - setup.sh now does `git clone --branch v7.51-stable-2026-04-27 --depth 1` instead of plain `git clone` (= latest HEAD). Re-runs `git checkout` on the pinned tag if the dir already exists. - GENESIS_PIN env var lets users opt into a different tag/commit. - Sanity-check the v7.14 layout (vllm/_genesis package) and bail with a clear error if missing, rather than silently shipping a broken compose-genesis combination. 2. MODEL_DIR default in all 9 composes (smoke-test fix) - Old default was ${MODEL_DIR:-../models}, which from the new compose dir at models/qwen3.6-27b/vllm/compose/ resolved to a non-existent path. Composes silently created an empty mount target → vLLM couldn't find the model on first boot. - Updated all 9 composes (single + dual variants) to: ${MODEL_DIR:-../../../../models-cache} This resolves to repo-root/models-cache/ which is exactly where setup.sh now downloads. Booting works zero-arg if you ran setup.sh. - Users with model weights elsewhere can still set MODEL_DIR via env. - Validated: from the new paths, MODEL_DIR=/mnt/models/huggingface docker compose up -d boots cleanly and verify-full.sh passes all 10 checks. 3. Clean stale header comments - tools-text.yml: header still self-described as alternate to old "20K default" + referenced deleted longctx-experimental.yml. Updated to current variant matrix (default 48K, this 75K text-only). - minimal.yml: similar — "20K default" + longctx-experimental refs. Updated. - fast-chat.yml: already fixed in previous commit. Smoke test: verify-full.sh from the new club-3090 paths passes 10/10 (including #4 tool calling, #8 tool-response prefill OOM, #10 MTP AL). |
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|
noonghunna
|
3fa33332ce |
Initial commit — club-3090: model-agnostic LLM serving recipes for RTX 3090
Consolidates and supersedes:
- noonghunna/qwen36-27b-single-3090
- noonghunna/qwen36-dual-3090
The two predecessor repos partitioned by card count (1× vs 2×). This
repo partitions by engine instead, which matches how users actually
decide ("vLLM or llama.cpp?" before "1 card or 2"). Card count becomes
a config variant within each engine.
Structure (model-agnostic from day 1):
docs/ cross-model engine + hardware docs
engines/ vLLM / llama.cpp / SGLang comparison + per-engine deep dives
HARDWARE.md Ampere SM 8.6+, NVLink, power, VRAM ceilings
GLOSSARY.md plain-language definitions
img/ illustrations (vram-budget.svg)
ARCHITECTURE.md how this stack thinks about LLM serving on 24 GB
models/<model-name>/ everything specific to a model
qwen3.6-27b/ today's only model
README.md / INTERNALS.md / USE_CASES.md / CHANGELOG.md
vllm/ vLLM-specific configs for this model
compose/ docker-compose files (single + dual variants)
patches/ tolist_cudagraph + Marlin pad notes
llama-cpp/ llama.cpp recipes for this model
recipes/ shell scripts (single-card default + 262K max-ctx)
sglang/ SGLang status (currently blocked)
scripts/ shared, model-aware
setup.sh bash setup.sh <model> → downloads + verifies
verify.sh / verify-full.sh smoke + functional tests
bench.sh canonical TPS bench
vLLM compose variants (all under models/qwen3.6-27b/vllm/compose/):
Single-card:
docker-compose.yml ⭐ DEFAULT — TQ3 + Genesis P65, 48K, 51/68 TPS
docker-compose.fast-chat.yml fp8 + 20K, 55/70 TPS — fastest at small ctx
docker-compose.tools-text.yml fp8 + 75K, 53/70 TPS — best for long single prompts
docker-compose.no-genesis-mtp.yml control variant
docker-compose.minimal.yml no spec-decode
Dual-card:
docker-compose.dual.yml ⭐ fp8 + 262K + MTP + vision, 71/89 TPS
docker-compose.dual-turbo.yml TQ3 + Genesis v7.14 — 4-stream concurrency
docker-compose.dual-dflash.yml DFlash N=5 + 185K + vision — 78/128 TPS
docker-compose.dual-dflash-noviz.yml DFlash + 200K text-only
llama.cpp recipes (under models/qwen3.6-27b/llama-cpp/recipes/):
single-card-default.sh Q4_K_M + 65K
single-card-max-ctx.sh Q4_K_M + q4_0 KV at full 262K — the standout recipe
Old repos remain readable for issue history + external links (Medium,
Reddit, Twitter, Sandermage's PR threads). New issues should be filed
here.
Credits in README. Apache 2.0.
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