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vllm-omni/vllm_omni/deploy/minicpmo_4_5_8x4090.yaml

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# MiniCPM-o 4.5 deploy: 8x4090 layout (24GB cards).
#
# Stage 0 (thinker): GPU 0,1,2,3 — 4-way TP, ~85% mem (≈20.4 GB / card,
# thinker weights take ~17.5 GB per card
# on 4090, leaving ~3 GB for KV cache /
# activations).
# Stage 1 (talker) : GPU 4 — MiniCPMTTS codec generation, ~90% mem.
# Stage 2 (code2wav): GPU 5 — codec-to-waveform generation, ~90% mem.
#
# max_model_len is pinned to 4096 because the upstream config.json
# advertises max_position_embeddings=40960 (tuned for H20 141GB); on a
# 24 GB 4090 a 40k-token KV cache request OOMs the worker process
# before serving the first request. 8192 also OOMs in practice with
# this thinker model + vision/audio encoders + Whisper preallocation,
# so 4096 is the empirically-verified safe ceiling.
pipeline: minicpmo_4_5
async_chunk: true
# session_mode: duplex makes vllm-omni serve run this model duplex-only
# (/v1/realtime?duplex=1). The default duplex_session caps sessions at 1,
# matching Stage 0/1 max_num_seqs below.
session_mode: duplex
trust_remote_code: true
enable_prefix_caching: false
connectors:
connector_of_shared_memory:
name: SharedMemoryConnector
extra:
connector_get_sleep_s: 0.01
connector_get_max_wait_first_chunk: 3000
connector_get_max_wait: 300
codec_chunk_frames: 25
codec_left_context_frames: 3
# HiFT capture buckets are derived from codec_chunk_frames and
# codec_left_context_frames. (#5869)
# A future initial_codec_chunk_frames shape will use lazy capture unless
# HiFTGraphWrapper.derive_capture_bucket_size explicitly includes it.
enable_hift_graph: true
enable_cfm_graph: true
cfm_max_graphs: 32
stages:
- stage_id: 0
max_num_seqs: 1
gpu_memory_utilization: 0.85
enforce_eager: true
tensor_parallel_size: 4
max_model_len: 4096
max_num_batched_tokens: 4096
devices: "0,1,2,3"
interleave_mm_strings: true
media_io_kwargs:
video:
fps: 1
num_frames: 128
limit_mm_per_prompt:
video: 1
default_sampling_params:
temperature: 0.0
top_p: 1.0
top_k: -1
max_tokens: 2048
seed: 42
detokenize: true
repetition_penalty: 1.1
- stage_id: 1
max_num_seqs: 1
gpu_memory_utilization: 0.9
enforce_eager: true
max_num_batched_tokens: 8192
devices: "4"
output_connectors:
to_stage_2: connector_of_shared_memory
default_sampling_params:
temperature: 0.8
top_p: 0.85
top_k: 25
# See minicpmo_4_5.yaml: the Talker rescores this over a 16-frame window.
repetition_penalty: 1.05
min_tokens: 50
max_tokens: 4096
seed: 42
detokenize: false
- stage_id: 2
max_num_seqs: 1
gpu_memory_utilization: 0.9
enforce_eager: true
enable_chunked_prefill: false
max_num_batched_tokens: 65536
max_model_len: 65536
devices: "5"
input_connectors:
from_stage_1: connector_of_shared_memory
default_sampling_params:
temperature: 0.0
top_p: 1.0
top_k: -1
max_tokens: 65536
detokenize: true
platforms: {}