Files
llm/core/deploy/docker-gpu/embeddings/compose.yaml
T
2026-08-14 09:40:51 +03:00

52 lines
1.3 KiB
YAML

name: llm-embeddings
services:
qwen3-embedding:
image: ${EMBEDDING_IMAGE:-ghcr.io/ggml-org/llama.cpp@sha256:3e8914c1aab600a330ada97c10fb5fb02ff1c15ac39f2ece218db125cf54594e}
container_name: ${EMBEDDING_CONTAINER_NAME:-llm-qwen3-embedding}
restart: unless-stopped
ports:
- "${EMBEDDING_HOST_PORT:-8082}:8080"
volumes:
- ${HOST_LLAMA_CACHE_DIR:-Z:/LLM/models/cache/llama.cpp}:/root/.cache/llama.cpp
command:
- --host
- 0.0.0.0
- --port
- "8080"
- --hf-repo
- ${EMBEDDING_HF_REPO:-Qwen/Qwen3-Embedding-0.6B-GGUF:Q8_0}
- --alias
- ${EMBEDDING_SERVED_MODEL_NAME:-qwen3-embedding-0.6b}
- --embedding
- --pooling
- last
- --ctx-size
- ${EMBEDDING_CTX_SIZE:-8192}
- --batch-size
- ${EMBEDDING_BATCH_SIZE:-1024}
- --ubatch-size
- ${EMBEDDING_UBATCH_SIZE:-1024}
- --threads
- ${EMBEDDING_THREADS:-12}
- --parallel
- ${EMBEDDING_PARALLEL:-1}
- --n-gpu-layers
- "0"
healthcheck:
test:
- CMD
- curl
- --fail
- --silent
- http://localhost:8080/health
interval: 10s
timeout: 5s
retries: 30
start_period: 10m
deploy:
resources:
limits:
cpus: ${EMBEDDING_CPU_LIMIT:-8.0}
memory: ${EMBEDDING_MEMORY_LIMIT:-4G}