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# syntax=docker/dockerfile:1.4
FROM ghcr.io/ggml-org/llama.cpp:full
WORKDIR /app
RUN apt update && apt install -y python3 python3-pip python3-venv
RUN python3 -m venv /opt/venv
ENV PATH="/opt/venv/bin:$PATH"
RUN pip install -U pip huggingface_hub hf_transfer
ENV HF_HUB_ENABLE_HF_TRANSFER=1
RUN cat <<'EOF' > /app/download_model.py
from huggingface_hub import hf_hub_download
from concurrent.futures import ThreadPoolExecutor
repo = "gijl/gemma-4-E4B-it-GGUF"
files = ["gemma-4-E4B-it-BF16.gguf", "mmproj-BF16.gguf"]
def download(f):
hf_hub_download(repo_id=repo, filename=f, local_dir="/app")
with ThreadPoolExecutor(max_workers=2) as ex:
list(ex.map(download, files))
EOF
RUN python3 /app/download_model.py
CMD ["--server", \
"-m", "/app/gemma-4-E4B-it-BF16.gguf", \
"--mmproj", "/app/mmproj-BF16.gguf", \
"--host", "0.0.0.0", \
"--port", "7860", \
"-t", "2", \
"--cache-type-k", "q8_0", \
"--cache-type-v", "iq4_nl", \
"-c", "64800", \
"-n", "50912"]