---
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