mirror of
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Merge pull request #50 from lordmathis/feat/docker-image
feat: Add Dockerfiles for running llamactl in docker
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@@ -71,7 +71,72 @@ sudo mv llamactl /usr/local/bin/
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# Windows - Download from releases page
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```
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### Option 2: Build from Source
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### Option 2: Docker
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llamactl provides Dockerfiles for creating Docker images with backends pre-installed. The resulting images include the latest llamactl release with the respective backend.
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**Available Dockerfiles (CUDA):**
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- **llamactl with llama.cpp CUDA**: `docker/Dockerfile.llamacpp` (based on `ghcr.io/ggml-org/llama.cpp:server-cuda`)
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- **llamactl with vLLM CUDA**: `docker/Dockerfile.vllm` (based on `vllm/vllm-openai:latest`)
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- **llamactl built from source**: `docker/Dockerfile.source` (multi-stage build with webui)
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**Note:** These Dockerfiles are configured for CUDA. For other platforms (CPU, ROCm, Vulkan, etc.), adapt the base image. For llama.cpp, see available tags at [llama.cpp Docker docs](https://github.com/ggml-org/llama.cpp/blob/master/docs/docker.md). For vLLM, check [vLLM docs](https://docs.vllm.ai/en/v0.6.5/serving/deploying_with_docker.html).
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#### Using Docker Compose
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```bash
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# Clone the repository
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git clone https://github.com/lordmathis/llamactl.git
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cd llamactl
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# Create directories for data and models
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mkdir -p data/llamacpp data/vllm models
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# Start llamactl with llama.cpp backend
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docker-compose -f docker/docker-compose.yml up llamactl-llamacpp -d
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# Or start llamactl with vLLM backend
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docker-compose -f docker/docker-compose.yml up llamactl-vllm -d
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```
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Access the dashboard at:
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- llamactl with llama.cpp: http://localhost:8080
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- llamactl with vLLM: http://localhost:8081
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#### Using Docker Build and Run
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**llamactl with llama.cpp CUDA:**
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```bash
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docker build -f docker/Dockerfile.llamacpp -t llamactl:llamacpp-cuda .
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docker run -d \
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--name llamactl-llamacpp \
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--gpus all \
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-p 8080:8080 \
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-v ~/.cache/llama.cpp:/root/.cache/llama.cpp \
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llamactl:llamacpp-cuda
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```
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**llamactl with vLLM CUDA:**
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```bash
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docker build -f docker/Dockerfile.vllm -t llamactl:vllm-cuda .
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docker run -d \
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--name llamactl-vllm \
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--gpus all \
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-p 8080:8080 \
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-v ~/.cache/huggingface:/root/.cache/huggingface \
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llamactl:vllm-cuda
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```
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**llamactl built from source:**
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```bash
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docker build -f docker/Dockerfile.source -t llamactl:source .
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docker run -d \
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--name llamactl \
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-p 8080:8080 \
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llamactl:source
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```
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### Option 3: Build from Source
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Requirements:
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- Go 1.24 or later
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