Download docker-compose.yml from broadfield/openjev-cpu-deploy-kit: direct link, hf CLI and curl.
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https://huggingface.co/datasets/broadfield/openjev-cpu-deploy-kit/resolve/main/docker-compose.yml
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| # Local (or VPS) zero-GPU OpenJev: llama.cpp CPU + official openjev-server. | |
| # | |
| # docker compose up --build -d | |
| # curl http://localhost:7860/v1/systemone ... | |
| # | |
| # Optional overrides: | |
| # MODEL_FILE=OpenJev-Q8_0.gguf bigger quant, same pipeline | |
| # OPENJEV_TOKEN=secret require Authorization: Bearer secret on /v1/* | |
| # LLAMA_THREADS=8 LLAMA_THREADS_BATCH=8 bound the CPU instead of using all cores | |
| services: | |
| openjev: | |
| build: . | |
| ports: | |
| - "7860:7860" | |
| environment: | |
| OPENJEV_TOKEN: ${OPENJEV_TOKEN:-} | |
| MODEL_FILE: ${MODEL_FILE:-OpenJev-Q4_K_M.gguf} | |
| LLAMA_THREADS: ${LLAMA_THREADS:-} | |
| LLAMA_THREADS_BATCH: ${LLAMA_THREADS_BATCH:-} | |
| LLAMA_CTX: ${LLAMA_CTX:-8192} | |
| volumes: | |
| - openjev-data:/data | |
| volumes: | |
| openjev-data: |