# MOSS-TTS v1.5 with a pinned AR-engine memory budget.
#
# The upstream pipeline (MossTTSPipelineConfig) colocates its three stages
# (preprocessing -> tts_engine -> vocoder) in one process on GPU 0 and leaves
# the engine's sglang mem_fraction_static unset: the static pool (weights +
# KV cache) is auto-sized to nearly all free VRAM at boot. On a 24 GB card
# that leaves only tens of MiB free once the engine's CUDA graphs and the
# colocated vocoder are resident — the first /v1/audio/speech request aborts
# with "CUDA out of memory. Tried to allocate ~100 MiB" and every retry fails
# identically (the same failure the qwen3_tts/higgs/zonos2 vendored configs
# fix; note moss_tts_local does NOT need this — MossTTSLocalPipelineConfig
# already budgets its colocated stages explicitly: 0.15/0.67/0.18).
#
# 0.70 pins the static pool at ~70% of the card (~16.5 GB on a 24 GB GPU —
# a KV pool far larger than any narration request needs) and leaves ~7 GB
# for the vocoder, CUDA graphs, transient allocations, and other GPU
# processes. Precedent: dots_tts.yaml pins this same knob.
config_cls: MossTTSPipelineConfig
model_path: OpenMOSS-Team/MOSS-TTS-v1.5

stages:
  tts_engine:
    engine:
      mem_fraction_static: 0.70