dschlueter
4074e10c1a
Pi agent extension, model config, and LLaMA server startup scripts for the coder/judge workflow (ports 8001/8002).
90 lines
2.4 KiB
Bash
Executable file
90 lines
2.4 KiB
Bash
Executable file
#!/usr/bin/env bash
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set -euo pipefail
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HF_HOME="${HF_HOME:-/home/dschlueter/nvme2n1p7_home/huggingface}"
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MODEL_REL_PATH="models/qwen3/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive-IQ4_XS.gguf"
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IMAGE="ghcr.io/ggml-org/llama.cpp:server-cuda"
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CONTAINER_NAME="qwen36-27b-coder"
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HOST_PORT=8001
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CONTAINER_PORT=8000
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MODEL_ALIAS="qwen3.5-coder"
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echo "[*] Verwende HF_HOME = $HF_HOME"
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if [ ! -f "$HF_HOME/$MODEL_REL_PATH" ]; then
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echo "[!] Modell-Datei nicht gefunden: $HF_HOME/$MODEL_REL_PATH" >&2
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exit 1
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fi
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if docker ps -a --format '{{.Names}}' | grep -q "^${CONTAINER_NAME}\$"; then
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echo "[*] Stoppe existierenden Container $CONTAINER_NAME ..."
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docker rm -f "$CONTAINER_NAME" >/dev/null 2>&1 || true
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fi
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echo "[*] Starte llama.cpp-Server für Coder ..."
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docker run -d \
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--gpus '"device=1,2"' \
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--name "$CONTAINER_NAME" \
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--restart unless-stopped \
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-e HF_HOME="/hf_home" \
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-v "$HF_HOME:/hf_home:ro" \
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-p "${HOST_PORT}:${CONTAINER_PORT}" \
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"$IMAGE" \
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-m "/hf_home/${MODEL_REL_PATH}" \
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--alias "${MODEL_ALIAS}" \
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-c 131072 \
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-n 16384 \
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--jinja \
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--no-context-shift \
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--temp 0.2 \
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--top-p 0.95 \
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--top-k 40 \
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--min-p 0.01 \
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--repeat-penalty 1.05 \
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--main-gpu 0 \
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--tensor-split 0.5,0.5 \
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-ngl 999 \
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-fa on \
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--kv-unified \
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--cache-type-k q8_0 \
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--cache-type-v q8_0 \
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--batch-size 1024 \
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--ubatch-size 512 \
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--parallel 2 \
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--cont-batching \
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--host 0.0.0.0 \
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--port "$CONTAINER_PORT"
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echo "[*] Warte auf HTTP ..."
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HTTP_READY=0
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for i in {1..90}; do
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if curl -s "http://localhost:${HOST_PORT}/health" >/dev/null 2>&1 || \
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curl -s "http://localhost:${HOST_PORT}/v1/models" >/dev/null 2>&1; then
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HTTP_READY=1
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break
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fi
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sleep 2
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done
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if [ "$HTTP_READY" -ne 1 ]; then
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echo "[!] HTTP-Server wurde nicht rechtzeitig erreichbar." >&2
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docker logs --tail 200 "$CONTAINER_NAME" || true
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exit 1
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fi
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echo "[*] Teste Chat-Completion ..."
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curl -s -X POST "http://localhost:${HOST_PORT}/v1/chat/completions" \
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-H "Content-Type: application/json" \
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-d "{
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\"model\": \"${MODEL_ALIAS}\",
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\"messages\": [
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{ \"role\": \"system\", \"content\": \"Du bist ein präziser Coding-Assistent.\" },
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{ \"role\": \"user\", \"content\": \"Antworte nur mit dem Wort: bereit\" }
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],
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\"max_tokens\": 8,
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\"temperature\": 0.0,
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\"stream\": false
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}"
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echo
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echo "[*] Server bereit auf http://0.0.0.0:${HOST_PORT}"
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echo "[*] Stoppen mit: docker rm -f ${CONTAINER_NAME}"
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