File size: 788 Bytes
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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
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