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Monkey-patch OrpheusModel to support max_model_len on Jetson

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vixy
2026-01-11 17:52:33 -06:00
parent 0e43b76204
commit d0d7633a00
2 changed files with 18 additions and 7 deletions
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4
Dockerfile
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@@ -21,9 +21,9 @@ COPY requirements.txt /app/
# Install Python dependencies (FastAPI, etc - but NOT torch/vllm) # Install Python dependencies (FastAPI, etc - but NOT torch/vllm)
RUN pip3 install --no-cache-dir -r requirements.txt RUN pip3 install --no-cache-dir -r requirements.txt
# Install orpheus-speech from GitHub repo (supports max_model_len) WITHOUT dependencies # Install orpheus-speech from regular PyPI WITHOUT dependencies
# to avoid overwriting vllm/torch. Then install snac audio codec. # to avoid overwriting vllm/torch. Then install snac audio codec.
RUN pip3 install --no-cache-dir --no-deps git+https://github.com/canopyai/Orpheus-TTS.git#subdirectory=orpheus_tts_pypi && \ RUN pip3 install --no-cache-dir --no-deps --index-url https://pypi.org/simple/ orpheus-speech && \
pip3 install --no-cache-dir --index-url https://pypi.org/simple/ snac pip3 install --no-cache-dir --index-url https://pypi.org/simple/ snac
# Copy application code # Copy application code

21
main.py
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@@ -325,12 +325,23 @@ async def startup():
# Import and load Orpheus model # Import and load Orpheus model
print("Loading Orpheus model (this may take a moment)...") print("Loading Orpheus model (this may take a moment)...")
from orpheus_tts import OrpheusModel from orpheus_tts import OrpheusModel
from vllm import AsyncLLMEngine
from vllm.engine.arg_utils import AsyncEngineArgs
# GitHub version supports max_model_len for memory control # Monkey-patch OrpheusModel to support max_model_len (PyPI version doesn't)
model = OrpheusModel( original_setup_engine = OrpheusModel._setup_engine
model_name=ORPHEUS_MODEL, def patched_setup_engine(self):
max_model_len=MAX_MODEL_LEN model_name = self._map_model_params()
) engine_args = AsyncEngineArgs(
model=model_name,
max_model_len=MAX_MODEL_LEN, # Our custom limit!
gpu_memory_utilization=0.85, # Leave some headroom
enforce_eager=False,
)
return AsyncLLMEngine.from_engine_args(engine_args)
OrpheusModel._setup_engine = patched_setup_engine
model = OrpheusModel(model_name=ORPHEUS_MODEL)
print("✓ Orpheus model loaded successfully") print("✓ Orpheus model loaded successfully")