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turing-multi-gpu-llm-server/scripts/start-server.sh
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#!/usr/bin/env bash
# ==============================================================================
# Production startup script for llama-server with NCCL tensor parallelism
# Supports: 256K Context Window, Multimodal Vision Projector, Flash Attention,
# q4_0 KV Cache quantization, and Jinja reasoning control.
# ==============================================================================
set -euo pipefail
MODEL_PATH="${MODEL_PATH:-/opt/models/gguf/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-Q4_K_P.gguf}"
MMPROJ_PATH="${MMPROJ_PATH:-/opt/models/gguf/mmproj-Qwen3.8-27B-Uncensored-f16.gguf}"
BINARY="${LLAMA_BINARY:-/opt/llama.cpp/build-nccl/bin/llama-server}"
export LD_LIBRARY_PATH="/opt/llama.cpp/build-nccl/bin:/opt/minicpm-venv/lib/python3.13/site-packages/nvidia/nccl/lib:/lib/x86_64-linux-gnu:${LD_LIBRARY_PATH:-}"
exec "$BINARY" \
-m "$MODEL_PATH" \
--mmproj "$MMPROJ_PATH" \
-ngl 99 \
-c 262144 \
--parallel 1 \
--image-max-tokens 2048 \
--split-mode tensor \
--flash-attn on \
--batch-size 1024 \
--ubatch-size 256 \
--jinja \
--threads 12 \
--cache-type-k q4_0 \
--cache-type-v q4_0 \
--host 0.0.0.0 \
--port 8080