leaderboard / deployment /docker-compose-1.yaml
Jae-Won Chung
The ML.ENERGY Colosseum (#22)
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services:
Llama2-70B-INT8:
container_name: worker4
image: mlenergy/tgi:latest
command: ["--model-id", "meta-llama/Llama-2-70b-chat-hf", "--num-shard", "2", "--otlp-endpoint", "http://jaeger:4317", "--quantize", "bitsandbytes"]
shm_size: 1g
environment:
HUGGING_FACE_HUB_TOKEN: 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
networks:
- leaderboard
volumes:
- /data/leaderboard/tgi-data:/data
deploy:
resources:
reservations:
devices:
- driver: nvidia
device_ids: ["0", "1"]
capabilities: [gpu]
Falcon-40B:
container_name: worker5
image: mlenergy/tgi:latest
command: ["--model-id", "tiiuae/falcon-40b-instruct", "--num-shard", "2", "--otlp-endpoint", "http://jaeger:4317"]
shm_size: 1g
networks:
- leaderboard
volumes:
- /data/leaderboard/tgi-data:/data
deploy:
resources:
reservations:
devices:
- driver: nvidia
device_ids: ["2", "3"]
capabilities: [gpu]
networks:
leaderboard:
name: leaderboard
external: true