Initial import: bare-metal stacks, Server UI, GPU fan, tutorials.

Infrastructure configs for GMKtec K11 (Docker, vLLM, LocalAI, ComfyUI,
control-plane, gpu-fan agent, Server UI with CLI/file explorer/GPU fan curve).

Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
tomasz-syn-grzegorza
2026-07-05 12:02:04 +00:00
commit 359afb3a59
153 changed files with 18169 additions and 0 deletions
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#!/usr/bin/env bash
# Merge KV cache settings (q8_0) into a model YAML on /data.
# Usage: ./scripts/apply-kv-profile.sh <model-name-without-.yaml>
# Example: ./scripts/apply-kv-profile.sh gemma-4-12b-it-qat-q4_0
set -euo pipefail
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
STACK_DIR="$(cd "${SCRIPT_DIR}/.." && pwd)"
if [[ ! -f "${STACK_DIR}/.env" ]]; then
echo "ERROR: ${STACK_DIR}/.env not found"
exit 1
fi
set -a
# shellcheck disable=SC1091
source "${STACK_DIR}/.env"
set +a
DATA_ROOT="${DATA_ROOT:-/data}"
MODELS_DIR="${DATA_ROOT}/apps/localai/models"
if [[ $# -lt 1 ]]; then
echo "Usage: $0 <model-name>"
echo "Example: $0 gemma-4-12b-it-qat-q4_0"
exit 1
fi
MODEL_NAME="$1"
TARGET="${MODELS_DIR}/${MODEL_NAME}.yaml"
if [[ ! -f "${TARGET}" ]]; then
echo "ERROR: ${TARGET} not found"
exit 1
fi
BACKUP="${TARGET}.bak.$(date +%Y%m%d%H%M%S)"
cp "${TARGET}" "${BACKUP}"
echo "Backup: ${BACKUP}"
run_python_merge() {
python3 - "${1}" <<'PY'
import sys
from pathlib import Path
try:
import yaml
except ImportError:
sys.exit("ERROR: python3-yaml required (sudo apt install python3-yaml)")
path = Path(sys.argv[1])
data = yaml.safe_load(path.read_text(encoding="utf-8")) or {}
params = data.setdefault("parameters", {})
kv = {
"cache_type_k": "q8_0",
"cache_type_v": "q8_0",
"flash_attention": True,
}
if "context_size" not in params:
kv["context_size"] = 8192
params.update(kv)
path.write_text(
yaml.dump(data, default_flow_style=False, allow_unicode=True, sort_keys=False),
encoding="utf-8",
)
print(f"Updated KV settings in {path}")
for k, v in kv.items():
print(f" {k}: {v}")
if "context_size" in params and "context_size" not in kv:
print(f" context_size: {params['context_size']} (unchanged)")
PY
}
if run_python_merge "${TARGET}" 2>/dev/null; then
:
elif docker ps --format '{{.Names}}' 2>/dev/null | grep -qx localai; then
echo "Host write failed — applying via docker exec localai (models volume is root-owned)"
CONTAINER_PATH="/models/${MODEL_NAME}.yaml"
docker exec localai sh -c "grep -q cache_type_k '${CONTAINER_PATH}' || sed -i '/^ model:/a\\
cache_type_k: q8_0\\
cache_type_v: q8_0\\
flash_attention: true\\
context_size: 8192' '${CONTAINER_PATH}'"
grep -E 'cache_type_k|cache_type_v|flash_attention|context_size' "${TARGET}" || true
else
echo "ERROR: cannot write ${TARGET} (permission denied) and container localai not running"
echo "Run: sudo $0 ${MODEL_NAME}"
exit 1
fi
echo ""
echo "Restart LocalAI to apply:"
echo " cd ${STACK_DIR} && docker compose --profile localai restart localai"
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#!/usr/bin/env bash
set -euo pipefail
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
STACK_DIR="$(cd "${SCRIPT_DIR}/.." && pwd)"
UPSTREAM_DIR="${STACK_DIR}/upstream"
REPO_URL="https://github.com/mudler/LocalAI.git"
TAG="v4.4.3"
cd "${STACK_DIR}"
if [[ -d "${UPSTREAM_DIR}/.git" ]]; then
echo "Upstream already cloned: ${UPSTREAM_DIR}"
echo "Remove it first to re-clone: rm -rf upstream"
exit 0
fi
echo "=== Cloning LocalAI upstream (reference only) ==="
echo "Repo: ${REPO_URL}"
echo "Tag: ${TAG}"
echo "Dest: ${UPSTREAM_DIR}"
echo ""
git clone --depth 1 --branch "${TAG}" "${REPO_URL}" "${UPSTREAM_DIR}"
echo ""
echo "Done. Use upstream/ for example model YAML and compose reference."
echo "Runtime uses the official Docker image from .env — not a local build."
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#!/usr/bin/env bash
# Download BGE-Reranker-v2-m3 FP16 GGUF and apply YAML profile.
# Usage: ./scripts/download-reranker.sh
set -euo pipefail
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
STACK_DIR="$(cd "${SCRIPT_DIR}/.." && pwd)"
cd "${STACK_DIR}"
if [[ -f .env ]]; then
set -a
# shellcheck disable=SC1091
source .env
set +a
fi
DATA_ROOT="${DATA_ROOT:-/data}"
MODELS_DIR="${DATA_ROOT}/apps/localai/models"
GGUF_NAME="bge-reranker-v2-m3-FP16.gguf"
GGUF_URL="https://huggingface.co/gpustack/bge-reranker-v2-m3-GGUF/resolve/main/${GGUF_NAME}"
YAML_SRC="${STACK_DIR}/profiles/bge-reranker-v2-m3-FP16-rerank.yaml.example"
YAML_DST="${MODELS_DIR}/${GGUF_NAME}.yaml"
"${SCRIPT_DIR}/ensure-dirs.sh" "${DATA_ROOT}"
echo "=== BGE-Reranker-v2-m3 download ==="
echo "Target: ${MODELS_DIR}/${GGUF_NAME}"
echo ""
if [[ -f "${MODELS_DIR}/${GGUF_NAME}" ]]; then
echo "GGUF already exists — skipping download"
else
if command -v wget &>/dev/null; then
wget -c -O "${MODELS_DIR}/${GGUF_NAME}.partial" "${GGUF_URL}"
mv "${MODELS_DIR}/${GGUF_NAME}.partial" "${MODELS_DIR}/${GGUF_NAME}"
else
curl -fL -C - -o "${MODELS_DIR}/${GGUF_NAME}.partial" "${GGUF_URL}"
mv "${MODELS_DIR}/${GGUF_NAME}.partial" "${MODELS_DIR}/${GGUF_NAME}"
fi
fi
echo ""
echo "=== Applying YAML profile ==="
if cp "${YAML_SRC}" "${YAML_DST}" 2>/dev/null; then
chmod 644 "${YAML_DST}" "${MODELS_DIR}/${GGUF_NAME}" 2>/dev/null || true
elif docker ps --format '{{.Names}}' | grep -qx localai; then
echo "Host copy failed (permissions) — writing via docker exec localai"
docker exec -i localai sh -c "cat > /models/${GGUF_NAME}.yaml" < "${YAML_SRC}"
else
echo "ERROR: cannot write ${YAML_DST} (permission denied) and localai container not running"
exit 1
fi
ls -lh "${MODELS_DIR}/${GGUF_NAME}" "${YAML_DST}"
echo ""
echo "=== Done ==="
echo "Restart LocalAI to load the model:"
echo " cd ${STACK_DIR} && docker compose --profile localai restart localai"
echo ""
echo "Smoke test:"
echo ' curl -s http://127.0.0.1:${LOCALAI_PORT:-8070}/v1/rerank \'
echo ' -H "Authorization: Bearer <LOCALAI_API_KEY>" \'
echo ' -H "Content-Type: application/json" \'
echo ' -d '"'"'{"model":"bge-reranker-v2-m3-FP16.gguf","query":"panda","documents":["hi","it is a bear","The giant panda is a bear species endemic to China."],"top_n":2}'"'"
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#!/usr/bin/env bash
# Create LocalAI data directories on the data disk.
ensure_localai_dirs() {
local data_root="${1:-/data}"
mkdir -p \
"${data_root}/apps/localai/models" \
"${data_root}/apps/localai/backends" \
"${data_root}/apps/localai/configuration" \
"${data_root}/apps/localai/images" \
"${data_root}/apps/localai/data"
}
if [[ "${BASH_SOURCE[0]}" == "${0}" ]]; then
ensure_localai_dirs "${1:-/data}"
fi
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#!/usr/bin/env bash
set -euo pipefail
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
STACK_DIR="$(cd "${SCRIPT_DIR}/.." && pwd)"
cd "${STACK_DIR}"
if [[ ! -f .env ]]; then
echo "ERROR: .env not found. Run: cp .env.example .env"
exit 1
fi
set -a
# shellcheck disable=SC1091
source .env
set +a
if ! docker info &>/dev/null; then
echo "ERROR: Docker is not running"
exit 1
fi
echo "=== LocalAI — pull image only (no start) ==="
echo "Image: ${LOCALAI_IMAGE:-localai/localai:v4.4.3-gpu-nvidia-cuda-13}"
echo ""
docker compose --profile localai pull
echo ""
echo "Done. Start with: ./scripts/start.sh"
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#!/usr/bin/env bash
set -euo pipefail
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
STACK_DIR="$(cd "${SCRIPT_DIR}/.." && pwd)"
# shellcheck disable=SC1091
source "${SCRIPT_DIR}/ensure-dirs.sh"
cd "${STACK_DIR}"
if [[ ! -f .env ]]; then
echo "ERROR: .env not found. Run: cp .env.example .env"
exit 1
fi
set -a
# shellcheck disable=SC1091
source .env
set +a
DATA_ROOT="${DATA_ROOT:-/data}"
if ! mountpoint -q "${DATA_ROOT}" 2>/dev/null; then
echo "ERROR: ${DATA_ROOT} is not mounted"
echo " Complete disk setup (tutorial 04 part A) first"
exit 1
fi
ensure_localai_dirs "${DATA_ROOT}"
if ! docker info &>/dev/null; then
echo "ERROR: Docker is not running"
exit 1
fi
echo "=== LocalAI stack ==="
echo "Image: ${LOCALAI_IMAGE:-localai/localai:v4.4.3-gpu-nvidia-cuda-13}"
echo "Port: ${LOCALAI_PORT:-8080}"
echo "Models: ${DATA_ROOT}/apps/localai/models (empty OK)"
echo "GPU: CUDA_VISIBLE_DEVICES=${CUDA_VISIBLE_DEVICES:-0}"
echo ""
docker compose --profile localai pull
docker compose --profile localai up -d
echo ""
echo "Started. Follow logs:"
echo " docker compose --profile localai logs -f localai"
echo ""
echo "Health check:"
echo " curl -s http://localhost:${LOCALAI_PORT:-8080}/readyz"
echo ""
echo "Web UI:"
echo " http://localhost:${LOCALAI_PORT:-8080}"