Hacktoberfest 2026: le issue che i maintainer hanno segnato per ottobre, aperte e adatte ai principianti. Sfoglia le issue Hacktoberfest

not stable start with 3+ cards

Chiusa
  • Qualcosa non va?
#841 3 commenti 0 reazioni 0 assegnatari Vedi su GitHub

I maintainer di solito rispondono entro 3 giorni

Nessuno ha ancora preso questa issue.

Valutazione

Difficoltà
4/5
Tempo stimato
3-5 giorni
Idoneità per principianti
48/100
Tipo di issue
Bug
Chiarezza
Abbastanza chiara
Stato di attività
Attiva
Stack tecnologico
cpp, python
Ambito
ai-infra-agents, performance

Direzione di ricerca

Start with the engine log excerpt in the issue and the startup path in serve/server.py, especially the reported failure to allocate the expert cache on CUDA2. Compare the logged free VRAM and cache allocations across the GPUs, then look for the engine code that reports or handles those allocations. Reproduce the startup failure with the reported three RTX 3060 12 GB setup; done means the engine starts reliably with three or more cards without the cache allocation error.

Scritto dal modello di indicizzazione a partire dal testo della issue.

Descrizione

hello! about 10-15 starts and only 2 sucsees. Getting error out of memory for 1 2 or all cards.
try: fixex expert cashe, placing cache at 3rd card, spliting layers like 16,32.
able to start only with 2 cards option w/o vision and not stable.

3060-12gb X3

json file auto created with 2 cars choose have strata-swift-iq2_xs.json "gpu": [ 0, 1, 2 ]

re running setup causing sometimes auto filling options like 1 1 2 2 1 e.t.c without keys press

[strata] experts loaded: 33.02 GiB at 0.07 GiB/s (579 s so far)
[strata] filling the GPU's expert cache (4884 experts, 6.33 GiB of VRAM) ...
[strata] still starting (599 s) - please wait ...
Traceback (most recent call last):
File "F:!strada\serve\server.py", line 4145, in
sys.exit(main())
~~~~^^
File "F:!strada\serve\server.py", line 4001, in main
engine = StrataEngine(exe, engine_args(cfg) + (effort_end or []), cwd=cfg.get("cwd"), log=cfg.get("log"),
env=env, lazy=lazy)
File "F:!strada\serve\server.py", line 478, in init
raise RuntimeError("the engine exited before it was ready" + (f" (see {log})" if log else "") +
start_failure_hint(log, log_start) + start_log_tail(log, log_start))
RuntimeError: the engine exited before it was ready (see F:!strada\strata-swift-iq2_xs.log)
the engine log's last lines:
strata generate: PLE on, table 320001536 rows of F:!strada\Strata-data\models\swift-IQ2_XS\Swift-Qwen3.8-Flash-Next-GSQ-RCO-IQ2_XS-00001-of-00002.gguf
strata generate: layer split: CUDA1 holds its weights, session [16, 33); 7.79 GiB free
strata generate: layer split: CUDA2 holds its weights, session [33, 48) and the head; 7.47 GiB free
strata mtp: draft layer loaded, 839 MiB of VRAM (experts 675, dense 111), files read in 9.59 s (82 MiB/s)
strata generate: GPU 0: NVIDIA GeForce RTX 3060, compute capability 8.6
strata generate: multi-GPU under WDDM: at most 8 GiB of the expert arena is pinned (STRATA_ARENA_PIN_GIB changes it)
strata generate: expert arena read unbuffered (0 of 32 probe reads from the file cache; 16.8 GiB available, 63.5 GiB of files)
strata generate: expert arena: locked 25626 MiB via working-set minimum + VirtualLock; cudaHostRegister limited to 8 GiB by the engine (multi-GPU under WDDM, or remote experts); 12 slices pinned (7 GiB); large pages refused for 35456548864 B (GetLargePageMinimum=2097152, VirtualAlloc error 1314); using 4 KB pages
strata generate: loaded 33.02 GiB at 0.07 GiB/s
strata generate: hint: ~24x below what this hardware streams from a normal launch. If Strata is started by Task Scheduler or a service, register the task with Priority 4 (Normal) and 'Run with highest privileges' - the scheduler's defaults (Below normal + a least-privilege token) throttle the load. See docs/DETAILS.md ('Running it at startup').
strata generate: expert cache 4884 slots, 6.33 GiB of VRAM; policy is
strata generate: the GPU computes the experts in the cache; it rounds differently from the CPU,
so a reply can differ slightly from a run without the cache (same quality:
bench/results/2026-09-27-cache-parity).
PROFILE, ranked by routing frequency, no eviction.
strata generate: pre-filled 4884 of 4884 slots from the profile; slot 0 verified
strata generate: layer split, CUDA1: 7.79 GiB free of 12.00, room for experts 7.01 GiB
strata generate: layer split: CUDA1 runs layers 16-32, expert cache 5198 slots (7.01 GiB), 5198 of its 8704 profiled pairs; slot 0 verified
strata generate: layer split, CUDA2: 6.65 GiB free of 12.00, room for experts 5.87 GiB
strata generate: layer split, CUDA2 expert cache: ExpertCache: cudaMalloc(5.87 GiB) failed: out of memory

Lingua principale
C++
Stelle
11.6k
Fork
1k
Nessuna PR unita negli ultimi 30g

Preparare l'ambiente

Questo progetto non fornisce container di sviluppo, Dockerfile né guida per i contributori, quindi l'ambiente è a tuo carico: parti dal suo README e consulta la nostra guida al primo contributo per i passaggi generali.

Come iniziare

  1. Leggi tutta la issue e poi la guida ai contributi del progetto.
  2. Commenta sulla issue per dire che te ne occupi tu — evita che due persone facciano lo stesso lavoro.
  3. Fai un fork del repository e lavora su un branch.
  4. Apri una pull request che faccia riferimento al numero della issue.

Altre issue di Niko1221/Strata

Tutte le issue di Niko1221/Strata

Issue simili

Altre issue su C++

Ricevi le nuove issue nella tua casella

Un breve riepilogo di issue GitHub adatte ai principianti.