edf0f912f8
ana-ml2's Ada->Blackwell swap (2x96GB) frees GPU 0 entirely. Pin llama-swap to GPU 0 via NVIDIA_VISIBLE_DEVICES so on-demand large-model hot-loads land there, off GPU 1 where the always-on vLLM services (granite + embed/rerank/ reward) live. Closes the long-standing 'pin llama-swap to GPU 0' item.
57 lines
2.0 KiB
YAML
57 lines
2.0 KiB
YAML
# llama-swap — GGUF model server with on-demand model swapping.
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#
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# Proxies OpenAI-compatible API requests to llama.cpp server instances
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# and swaps which model is loaded into VRAM per request. Runs on
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# ana-ml2 using both GPUs dynamically (no explicit device pinning —
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# llama-swap picks per-model-definition).
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#
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# Model definitions live in /opt/docker/conf/llama-swap/config.yaml on
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# the server. Canonical copy of that config is config.yaml in this
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# workspace; deploy with scp + `docker compose restart` or the script
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# at the bottom of README.md.
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#
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# All tunables live in .env — edit that, not this file.
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services:
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llama-swap:
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image: ghcr.io/mostlygeek/llama-swap:${LLAMA_SWAP_VERSION}
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container_name: llama-swap
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restart: unless-stopped
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stdin_open: true
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tty: true
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runtime: nvidia
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ports:
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- "${LLAMA_SWAP_PORT}:8080"
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volumes:
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- /opt/docker/conf/llama-swap/config.yaml:/app/config.yaml
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- ${MODELS_DIR}:/models
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- ${HF_CACHE_DIR}:/hfcache
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environment:
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- HF_HOME=/hfcache
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- HF_HUB_CACHE=/hfcache/hub
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# Pin to GPU 0 — the reserved card for on-demand large-model hot-loads.
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# The always-on vLLM services (granite + embed/rerank/reward) own GPU 1;
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# keeping llama-swap off GPU 1 stops a hot-loaded model from contending
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# with them. llama.cpp then sees only GPU 0 (cuda:0), so --n-gpu-layers
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# 999 loads there with no per-model device targeting needed.
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- NVIDIA_VISIBLE_DEVICES=${LLAMA_SWAP_GPU:-0}
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healthcheck:
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test: ["CMD-SHELL", "curl -fsS http://localhost:8080/ >/dev/null || exit 1"]
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 30s
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networks:
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- tnet
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labels:
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- homepage.group=AI Systems
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- homepage.name=llama-swap
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- homepage.icon=mdi-swap-horizontal
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- homepage.description=GGUF model swapper (llama.cpp; ana-ml2)
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- homepage.href=http://10.250.50.54:${LLAMA_SWAP_PORT}
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networks:
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tnet:
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name: traefik-net
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external: true
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