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README.md

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+---
+license: mit
+tags:
+  - docker
+  - llama.cpp
+  - cuda
+  - a100
+---
+
+# llama.cpp server-cuda (Docker image tar)
+
+Saved Docker image `ghcr.io/ggml-org/llama.cpp:server-cuda`, pulled and exported with `docker save` for offline deployment on CUDA 12 / A100 machines without internet access to GHCR.
+
+## File
+
+- `llama.cpp-server-cuda.tar` (~2.6GB) — full image, load with `docker load`.
+
+## Load and run
+
+```bash
+docker load -i llama.cpp-server-cuda.tar
+
+docker run --rm --gpus all \
+  -v /path/to/models:/models \
+  -p 8080:8080 \
+  ghcr.io/ggml-org/llama.cpp:server-cuda \
+  -m /models/clef-flash-Q8_0.gguf \
+  --mmproj /models/clef-flash-vision.gguf \
+  -c 16384 -ngl 999 \
+  --host 0.0.0.0 --port 8080
+```
+
+GGUF weights for clef-flash: https://huggingface.co/cuongpp/clef-flash-gguf