| # Example docker-compose for running the DSV4-Flash MTP vLLM image locally. | |
| # Edit MODEL_HOST_PATH to point at the HF snapshot you've downloaded. | |
| version: "3.9" | |
| services: | |
| dsv4-flash: | |
| image: dsv4-flash-acti-mtp:0.1.0 | |
| container_name: dsv4-flash | |
| restart: unless-stopped | |
| runtime: nvidia | |
| deploy: | |
| resources: | |
| reservations: | |
| devices: | |
| - driver: nvidia | |
| capabilities: ["gpu"] | |
| count: all | |
| shm_size: "16gb" | |
| ulimits: | |
| memlock: -1 | |
| stack: 67108864 | |
| ports: | |
| - "8000:8000" | |
| volumes: | |
| - ${MODEL_HOST_PATH:-/home/ripper/dsv4-local/models/DeepSeek-V4-Flash-Acti-MTP-W4A16-FP8-GPTQ}:/models/DeepSeek-V4-Flash-Acti-MTP-W4A16-FP8:ro | |
| - dsv4_cache:/root/.cache | |
| environment: | |
| MODEL_PATH: /models/DeepSeek-V4-Flash-Acti-MTP-W4A16-FP8 | |
| # Override any of the Dockerfile defaults here, e.g.: | |
| # MAX_MODEL_LEN: 131072 | |
| # MAX_NUM_SEQS: 8 | |
| # GPU_MEMORY_UTILIZATION: 0.90 | |
| volumes: | |
| dsv4_cache: | |