89 lines
2.4 KiB
Bash
Executable file
89 lines
2.4 KiB
Bash
Executable file
#!/usr/bin/env bash
|
|
set -euo pipefail
|
|
|
|
# Konfiguration
|
|
HF_HOME="${HF_HOME:-/home/dschlueter/nvme2n1p7_home/huggingface}"
|
|
MODEL_REL_PATH="models/qwen3/Carnice-Qwen3.6-MoE-35B-A3B-Q4_K_M.gguf"
|
|
IMAGE="ghcr.io/ggml-org/llama.cpp:server-cuda"
|
|
CONTAINER_NAME="qwen35b-moe-tools"
|
|
HOST_PORT=8000
|
|
CONTAINER_PORT=8000
|
|
|
|
echo "[*] Verwende HF_HOME = $HF_HOME"
|
|
if [ ! -f "$HF_HOME/$MODEL_REL_PATH" ]; then
|
|
echo "[!] Modell-Datei nicht gefunden: $HF_HOME/$MODEL_REL_PATH" >&2
|
|
exit 1
|
|
fi
|
|
|
|
# Optional: altes gleichnamiges Container-Exemplar stoppen
|
|
if docker ps -a --format '{{.Names}}' | grep -q "^${CONTAINER_NAME}\$"; then
|
|
echo "[*] Stoppe existierenden Container $CONTAINER_NAME ..."
|
|
docker rm -f "$CONTAINER_NAME" >/dev/null 2>&1 || true
|
|
fi
|
|
|
|
echo "[*] Starte llama.cpp-Server-Container ($IMAGE) ..."
|
|
|
|
docker run -d \
|
|
--gpus '"device=1,2"' \
|
|
--name "$CONTAINER_NAME" \
|
|
--restart unless-stopped \
|
|
-e HF_HOME="/hf_home" \
|
|
-v "$HF_HOME:/hf_home:ro" \
|
|
-p "${HOST_PORT}:${CONTAINER_PORT}" \
|
|
"$IMAGE" \
|
|
-m "/hf_home/${MODEL_REL_PATH}" \
|
|
-c 262144 \
|
|
-n 16384 \
|
|
--temp 0.3 --top-p 0.95 --top-k 40 --min-p 0.01 --repeat-penalty 1.05 \
|
|
--main-gpu 0 \
|
|
--tensor-split 0.5,0.5 \
|
|
-ngl 999 \
|
|
-fa on \
|
|
--kv-unified \
|
|
--cache-type-k q8_0 \
|
|
--cache-type-v q8_0 \
|
|
--batch-size 2048 \
|
|
--ubatch-size 512 \
|
|
--parallel 2 \
|
|
--cont-batching \
|
|
--jinja \
|
|
--no-context-shift \
|
|
--host 0.0.0.0 \
|
|
--port "$CONTAINER_PORT"
|
|
|
|
echo "[*] Container gestartet: $CONTAINER_NAME"
|
|
echo "[*] Warte, bis HTTP-Port ${HOST_PORT} antwortet ..."
|
|
|
|
for i in {1..60}; do
|
|
if curl -s "http://localhost:${HOST_PORT}/" >/dev/null 2>&1; then
|
|
echo "[*] Server antwortet auf http://localhost:${HOST_PORT}/"
|
|
break
|
|
fi
|
|
echo "[*] Warte (${i}/60) ..."
|
|
sleep 2
|
|
done
|
|
|
|
sleep 5
|
|
|
|
echo "[*] Sende Test-Chat-Request an /v1/chat/completions ..."
|
|
|
|
RESPONSE="$(curl -s -X POST "http://localhost:${HOST_PORT}/v1/chat/completions" \
|
|
-H "Content-Type: application/json" \
|
|
-d '{
|
|
"model": "qwen3.6-35b-a3b-moe",
|
|
"messages": [
|
|
{ "role": "system", "content": "Du bist ein hilfreicher deutscher Assistent." },
|
|
{ "role": "user", "content": "Gib eine sehr kurze Selbstdiagnose deiner Fähigkeiten." }
|
|
],
|
|
"max_tokens": 64,
|
|
"temperature": 0.3,
|
|
"stream": false
|
|
}')"
|
|
|
|
echo
|
|
echo "[*] Antwort vom Server:"
|
|
echo "$RESPONSE"
|
|
|
|
echo
|
|
echo "[*] Zum Stoppen des Servers:"
|
|
echo " docker rm -f $CONTAINER_NAME"
|