Joachim Friberg
83 lines
2.2 KiB
YAML
83 lines
2.2 KiB
YAML
name: llama-server
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services:
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llama-server:
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image: ghcr.io/ggml-org/llama.cpp:server-b8840@sha256:99d2554c4c8d5339649dde530056cf10771823d7cd983dbd0441da9c419976b1
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container_name: llama-server
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restart: unless-stopped
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environment:
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TZ: Europe/Stockholm
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MODEL: llama-3.2-3b-q4_k_m.gguf
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CTX_SIZE: "2048"
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N_THREADS: "0"
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HOST: 0.0.0.0
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PORT: "8080"
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MAX_TOKENS: "512"
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ports:
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- target: 8080
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published: "8080"
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protocol: tcp
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volumes:
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- type: bind
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source: /DATA/AppData/$AppID/models
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target: /models
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- type: bind
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source: /DATA/AppData/$AppID/logs
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target: /logs
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deploy:
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resources:
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reservations:
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memory: 8G
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security_opt:
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- no-new-privileges:true
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cap_drop:
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- ALL
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x-casaos:
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envs:
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- container: MODEL
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description:
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en_us: Model filename inside /models (e.g. llama-3.2-3b-q4_k_m.gguf). Download GGUF files manually into /models.
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- container: CTX_SIZE
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description:
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en_us: Context window size in tokens
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- container: N_THREADS
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description:
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en_us: CPU threads (0 = auto-detect all cores)
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- container: MAX_TOKENS
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description:
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en_us: Maximum tokens to generate per response
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- container: TZ
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description:
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en_us: Timezone, for example Europe/Stockholm
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ports:
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- container: "8080"
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description:
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en_us: llama.cpp REST API port
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volumes:
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- container: /models
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description:
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en_us: Model GGUF files directory
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- container: /logs
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description:
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en_us: Server log output
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x-casaos:
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architectures:
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- amd64
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- arm64
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main: llama-server
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category: phirna
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author: Joachim Friberg
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developer: Joachim Friberg
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icon: https://cdn.simpleicons.org/llama
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tagline:
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en_us: CPU-only LLM inference server with REST API
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description:
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en_us: >
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Local LLM inference server using llama.cpp. Serves GGUF models via OpenAI-compatible REST API.
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CPU-only with AVX2/AVX512 optimization. Requires manual model download.
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title:
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en_us: Llama Server
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index: /
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port_map: "8080"
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