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ai-service/deploy/ai-server/docker-compose.audio.yml
Grendgi 9bd6d726f0
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Make Voxtral the only transcription provider
2026-06-09 16:54:54 +03:00

68 lines
1.5 KiB
YAML

services:
voxtral-small:
build:
context: .
dockerfile: vllm-audio.Dockerfile
image: vllm-audio:local
container_name: voxtral-small
profiles:
- voxtral-small
restart: unless-stopped
ipc: host
runtime: nvidia
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: all
capabilities: [gpu]
environment:
HUGGING_FACE_HUB_TOKEN: ${HF_TOKEN}
VLLM_API_KEY: ${VLLM_API_KEY}
HF_HOME: /cache
volumes:
- ./data/vllm-cache:/cache
networks:
- audio-models
ports:
- "10.2.3.5:8004:8000"
command:
- "--model"
- "mistralai/Voxtral-Small-24B-2507"
- "--served-model-name"
- "mistralai/Voxtral-Small-24B-2507"
- "--tokenizer-mode"
- "mistral"
- "--config-format"
- "mistral"
- "--load-format"
- "mistral"
- "--tool-call-parser"
- "mistral"
- "--enable-auto-tool-choice"
- "--host"
- "0.0.0.0"
- "--port"
- "8000"
- "--max-model-len"
- "16384"
- "--gpu-memory-utilization"
- "0.55"
- "--api-key"
- "${VLLM_API_KEY}"
- "--max-num-seqs"
- "1"
- "--max-num-batched-tokens"
- "4096"
healthcheck:
test: ["CMD", "python3", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:8000/health')"]
interval: 30s
timeout: 5s
retries: 5
start_period: 1200s
networks:
audio-models:
driver: bridge