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llama-cpp: support every Linux prebuilt backend (CUDA, ROCm, SYCL, OpenVINO) #2430

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Merged
MickLesk merged 3 commits into from
Oct 19, 2026
+244 −43
Merged

llama-cpp: support every Linux prebuilt backend (CUDA, ROCm, SYCL, OpenVINO) #2430

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f2707eb
llama-cpp: support every Linux prebuilt backend
cosmincc Oct 14, 2026
b9e7679
llama-cpp: host-side backend choice, release channels, fixes from tes…
cosmincc Oct 17, 2026
0b22096
Merge remote-tracking branch 'upstream/main' into feat/llama-cpp-back…
cosmincc Oct 17, 2026
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100 changes: 91 additions & 9 deletions ct/llama-cpp.sh
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Original file line number Diff line number Diff line change
Expand Up @@ -19,6 +19,35 @@ var_gpu="${var_gpu:-yes}"
var_unprivileged="${var_unprivileged:-1}"
var_testurl="${var_testurl:-https://github.com/community-scripts/DevScripts/issues/2124}"

# Asked here because the installer runs under lxc-attach, where it can never
# reach a terminal. Updates run inside the container and keep the recorded build.
if [[ -z "${var_backend:-}" ]] && command -v pveversion >/dev/null 2>&1 && [[ -t 0 ]]; then
LLAMA_BACKENDS=(
"auto" "Vulkan if a GPU is passed through, else CPU"
"cpu" "CPU only"
"vulkan" "Vulkan (Intel, AMD and NVIDIA GPUs)"
"cuda" "NVIDIA CUDA (12 or 13, from the host driver)"
)
if [[ "$(dpkg --print-architecture 2>/dev/null)" == "amd64" ]]; then
LLAMA_BACKENDS+=(
"rocm" "AMD ROCm"
"sycl-fp16" "Intel GPU via oneAPI SYCL (FP16)"
"sycl-fp32" "Intel GPU via oneAPI SYCL (FP32)"
"openvino" "Intel CPU/GPU via OpenVINO"
)
fi
var_backend=$(whiptail --backtitle "Proxmox VE Helper Scripts" --title "LLAMA.CPP BUILD" --default-item "auto" \
--menu "Choose the llama.cpp build:" $((${#LLAMA_BACKENDS[@]} / 2 + 8)) 72 $((${#LLAMA_BACKENDS[@]} / 2)) \
"${LLAMA_BACKENDS[@]}" 3>&1 1>&2 2>&3) || exit_script
fi

export var_backend="${var_backend:-}"
export var_model_repo="${var_model_repo:-}"
export var_ctx_size="${var_ctx_size:-}"
export var_offload_layers="${var_offload_layers:-}"
export var_api_key="${var_api_key:-}"
export var_port="${var_port:-}"

header_info "$APP"
variables
color
Expand All @@ -34,26 +63,79 @@ function update_script() {
exit
fi

if check_for_gh_release "llama-cpp" "ggml-org/llama.cpp"; then
# Follow the channel picked at install unless GH_INCLUDE_PRERELEASE is given
# for this run: the bNNNN prerelease builds, or the build a stable vX.Y.Z
# release names in its nightly-tag.txt (stable releases carry no binaries).
# Installs that predate the record all tracked the bNNNN builds, and reading
# them as stable would downgrade them.
GH_INCLUDE_PRERELEASE="${GH_INCLUDE_PRERELEASE:-$(cat /opt/llama-cpp_data/.prerelease 2>/dev/null || echo 1)}"
export GH_INCLUDE_PRERELEASE
LLAMA_RELEASE=""
if [[ "$GH_INCLUDE_PRERELEASE" == "1" ]]; then
if check_for_gh_release "llama-cpp" "ggml-org/llama.cpp" "" "" "b"; then
LLAMA_RELEASE="$CHECK_UPDATE_RELEASE"
fi
elif check_for_gh_release "llama-cpp-stable" "ggml-org/llama.cpp"; then
USE_ORIGINAL_FILENAME=true fetch_and_deploy_gh_release "llama-cpp-stable" "ggml-org/llama.cpp" "singlefile" "$CHECK_UPDATE_RELEASE" "/opt/llama-cpp_data" "nightly-tag.txt"
LLAMA_RELEASE="$(</opt/llama-cpp_data/nightly-tag.txt)"
fi

if [[ -n "$LLAMA_RELEASE" ]]; then
msg_info "Stopping Service"
systemctl stop llama-cpp
msg_ok "Stopped Service"

# Keep the build variant the install picked; the CPU tarball would otherwise
# overwrite a Vulkan install and quietly end GPU offload.
#
# rocm reads as vulkan: upstream publishes no Linux ROCm build, so anything
# recorded as rocm predates that being noticed and would otherwise fail
# every update on an asset that does not exist.
# overwrite a GPU build and quietly end offload.
LLAMA_BACKEND="$(cat /opt/llama-cpp_data/.backend 2>/dev/null || echo cpu)"
LLAMA_ARCH="$(arch_resolve x64 arm64)"
# Installs from before the ROCm build existed recorded rocm while actually
# running the Vulkan build.
[[ "$LLAMA_BACKEND" == "rocm" && ! -d /opt/llama-cpp_data/rocm ]] && LLAMA_BACKEND="vulkan"

LLAMA_CUDART_ASSET=""
case "$LLAMA_BACKEND" in
vulkan | rocm) LLAMA_ASSET="llama-*-bin-ubuntu-vulkan-$(arch_resolve x64 arm64).tar.gz" ;;
*) LLAMA_ASSET="llama-*-bin-ubuntu-$(arch_resolve x64 arm64).tar.gz" ;;
vulkan) LLAMA_ASSET="llama-*-bin-ubuntu-vulkan-${LLAMA_ARCH}.tar.gz" ;;
cuda-12 | cuda-13)
LLAMA_ASSET="llama-*-bin-ubuntu-cuda-${LLAMA_BACKEND#cuda-}.*-${LLAMA_ARCH}.tar.gz"
LLAMA_CUDART_ASSET="cudart-${LLAMA_ASSET}"
;;
rocm) LLAMA_ASSET="llama-*-bin-ubuntu-rocm-*-x64.tar.gz" ;;
sycl-fp16 | sycl-fp32) LLAMA_ASSET="llama-*-bin-ubuntu-${LLAMA_BACKEND}-x64.tar.gz" ;;
openvino) LLAMA_ASSET="llama-*-bin-ubuntu-openvino-*x64.tar.gz" ;;
*) LLAMA_ASSET="llama-*-bin-ubuntu-${LLAMA_ARCH}.tar.gz" ;;
esac

CLEAN_INSTALL=1 fetch_and_deploy_gh_release "llama-cpp" "ggml-org/llama.cpp" "prebuild" "latest" "/opt/llama-cpp" "$LLAMA_ASSET"
CLEAN_INSTALL=1 fetch_and_deploy_gh_release "llama-cpp" "ggml-org/llama.cpp" "prebuild" "$LLAMA_RELEASE" "/opt/llama-cpp" "$LLAMA_ASSET"
# The wipe above also removed the CUDA runtime, so it always goes back in.
if [[ -n "$LLAMA_CUDART_ASSET" ]]; then
rm -f ~/.llama-cpp-cudart
fetch_and_deploy_gh_release "llama-cpp-cudart" "ggml-org/llama.cpp" "prebuild" "$LLAMA_RELEASE" "/opt/llama-cpp" "$LLAMA_CUDART_ASSET"
fi
chmod +x /opt/llama-cpp/llama-*

case "$LLAMA_BACKEND" in
sycl-* | openvino)
fetch_and_deploy_gh_release "level-zero" "oneapi-src/level-zero" "binary" "latest" "" "libze1_*u24.04_amd64.deb" || true
if [[ -d /dev/dri ]]; then
fetch_and_deploy_gh_release "intel-level-zero-gpu" "intel/compute-runtime" "binary" "latest" "" "libze-intel-gpu1_*_amd64.deb" || true
fi
;;
rocm)
# The ROCm build links against the ROCm release it was built with, so
# follow it when upstream moves to a newer one.
ROCM_VERSION="$(jq -r 'if type == "array" then .[0] else . end | .assets[].name' "$TOOLS_GH_REL_JSON" 2>/dev/null | grep -oP 'bin-ubuntu-rocm-\K[0-9.]+(?=-x64)' | head -1)"
if [[ -n "$ROCM_VERSION" && "$ROCM_VERSION" != "$(cat /opt/llama-cpp_data/rocm/.version 2>/dev/null)" ]]; then
msg_info "Updating ROCm Runtime to ${ROCM_VERSION}"
$STD uv pip install --python /opt/llama-cpp_data/rocm --index-url https://stable.repo.amd.com/rocm/whl-next/ "rocm[libraries]==${ROCM_VERSION}.*"
echo "$ROCM_VERSION" >/opt/llama-cpp_data/rocm/.version
msg_ok "Updated ROCm Runtime to ${ROCM_VERSION}"
fi
;;
esac

echo "$GH_INCLUDE_PRERELEASE" >/opt/llama-cpp_data/.prerelease

msg_info "Starting Service"
systemctl start llama-cpp
msg_ok "Started Service"
Expand Down
170 changes: 142 additions & 28 deletions install/llama-cpp-install.sh
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -13,62 +13,147 @@ setting_up_container
network_check
update_os

var_backend="${var_backend:-auto}"
var_model_repo="${var_model_repo:-ggml-org/gemma-3-1b-it-GGUF}"
var_model_repo="${var_model_repo:-ggml-org/gemma-4-E2B-it-GGUF:Q4_0}"
var_port="${var_port:-8080}"
var_ctx_size="${var_ctx_size:-4096}"
var_offload_layers="${var_offload_layers:-}"
var_api_key="${var_api_key:-}"

# Which prebuilt upstream ships decides what the container can offload to, and
# for Linux that list is short: ubuntu-x64, ubuntu-arm64, ubuntu-vulkan-x64,
# ubuntu-vulkan-arm64, plus the Intel sycl and openvino builds. There is no
# Linux CUDA build and no Linux ROCm build either -- the only ROCm asset
# upstream publishes is win-rocm-*-x64.zip. Vulkan is therefore the GPU path for
# every vendor here, AMD included, and it reaches an AMD card through RADV.
#
# Asking for a ubuntu-rocm asset failed the install outright with "No asset
# matching 'llama--bin-ubuntu-rocm--x64.tar.gz' found" on any host where the
# engine had set up /dev/kfd.
# The Linux prebuilts upstream publishes (see .github/workflows/release.yml):
# cpu ubuntu-{x64,arm64}
# vulkan ubuntu-vulkan-{x64,arm64} any GPU vendor (AMD through RADV)
# cuda ubuntu-cuda-{12.x,13.x}-x64, ubuntu-cuda-13.x-arm64, plus a cudart tarball
# rocm ubuntu-rocm-<ver>-x64 needs the matching ROCm (TheRock) runtime
# sycl ubuntu-sycl-{fp16,fp32}-x64 Intel GPUs, needs oneAPI + Level Zero
# openvino ubuntu-openvino-<ver>-x64 Intel CPU/GPU, OpenVINO runtime is bundled
var_backend="${var_backend:-auto}"

if [[ "$var_backend" == "auto" ]]; then
if [[ -e /dev/kfd || -e /dev/nvidia0 || -d /dev/dri ]]; then
var_backend="vulkan"
else
var_backend="cpu"
fi
fi

# rocm was a documented value, so keep accepting it rather than failing anyone
# who pinned it -- but say where they are actually being sent.
if [[ "$var_backend" == "rocm" ]]; then
msg_warn "llama.cpp publishes no Linux ROCm build - using the Vulkan build, which drives an AMD card through RADV"
var_backend="vulkan"
fi
[[ "$var_backend" == "sycl" ]] && var_backend="sycl-fp16"

LLAMA_ARCH="$(arch_resolve x64 arm64)"

case "$var_backend" in
vulkan) LLAMA_ASSET="llama-*-bin-ubuntu-vulkan-${LLAMA_ARCH}.tar.gz" ;;
rocm | sycl-fp16 | sycl-fp32 | openvino)
if [[ "$LLAMA_ARCH" != "x64" ]]; then
msg_error "llama.cpp publishes the ${var_backend} build for x64 only"
exit 1
fi
;;
cpu | vulkan | cuda) ;;
*)
var_backend="cpu"
LLAMA_ASSET="llama-*-bin-ubuntu-${LLAMA_ARCH}.tar.gz"
msg_error "Unknown var_backend '${var_backend}' (expected auto, cpu, vulkan, cuda, rocm, sycl-fp16, sycl-fp32 or openvino)"
exit 1
;;
esac

msg_info "Installing Dependencies"
LLAMA_DEPS=(libgomp1)
[[ "$var_backend" == "vulkan" ]] && LLAMA_DEPS+=(libvulkan1 mesa-vulkan-drivers vulkan-tools)
case "$var_backend" in
vulkan) LLAMA_DEPS+=(libvulkan1 mesa-vulkan-drivers vulkan-tools) ;;
openvino) LLAMA_DEPS+=(libtbb12 ocl-icd-libopencl1) ;;
sycl-*) LLAMA_DEPS+=(ocl-icd-libopencl1) ;;
esac
$STD apt install -y "${LLAMA_DEPS[@]}"
msg_ok "Installed Dependencies"

setup_hwaccel

fetch_and_deploy_gh_release "llama-cpp" "ggml-org/llama.cpp" "prebuild" "latest" "/opt/llama-cpp" "$LLAMA_ASSET"
# SYCL and OpenVINO reach an Intel GPU through Level Zero. release.yml builds
# SYCL against the loader from oneapi-src/level-zero, so use the same package.
if [[ "$var_backend" == sycl-* || "$var_backend" == "openvino" ]]; then
fetch_and_deploy_gh_release "level-zero" "oneapi-src/level-zero" "binary" "latest" "" "libze1_*u24.04_amd64.deb"
if [[ -d /dev/dri ]]; then
fetch_and_deploy_gh_release "intel-level-zero-gpu" "intel/compute-runtime" "binary" "latest" "" "libze-intel-gpu1_*_amd64.deb" || true
fi
fi

# The SYCL tarball ships only llama.cpp itself; the DPC++/oneMKL/oneDNN/TBB
# libraries it links against come from oneAPI. release.yml builds with the full
# toolkit, but running needs only the runtime libraries.
if [[ "$var_backend" == sycl-* ]]; then
setup_deb822_repo \
"oneapi" \
"https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB" \
"https://apt.repos.intel.com/oneapi" \
"all" \
"main"
msg_info "Installing Intel oneAPI Runtime"
$STD apt install -y intel-oneapi-runtime-libs
# The runtime packages unpack under /opt/intel/oneapi without telling the
# dynamic linker, so register every directory that holds one of them.
find /opt/intel/oneapi -type f \( -name 'libsycl.so*' -o -name 'libur_loader.so*' -o -name 'libmkl_core.so*' \
-o -name 'libdnnl.so*' -o -name 'libtbb.so*' -o -name 'libsvml.so' -o -name 'libiomp5.so' -o -name 'libumf.so*' \) \
-printf '%h\n' 2>/dev/null | sort -u >/etc/ld.so.conf.d/oneapi-llama-cpp.conf
ldconfig
msg_ok "Installed Intel oneAPI Runtime"
fi

LLAMA_CUDART_ASSET=""
case "$var_backend" in
vulkan) LLAMA_ASSET="llama-*-bin-ubuntu-vulkan-${LLAMA_ARCH}.tar.gz" ;;
cuda)
# CUDA 13 needs a 580+ host driver; anything older gets the CUDA 12 build,
# which upstream publishes for x64 only.
NVIDIA_DRIVER_MAJOR="$(grep -oP '\d{3,}(?=\.\d+)' /proc/driver/nvidia/version 2>/dev/null | head -1)"
if [[ "$LLAMA_ARCH" == "x64" && -n "$NVIDIA_DRIVER_MAJOR" && "$NVIDIA_DRIVER_MAJOR" -lt 580 ]]; then
var_backend="cuda-12"
else
var_backend="cuda-13"
fi
[[ -z "$NVIDIA_DRIVER_MAJOR" ]] && msg_warn "No NVIDIA host driver visible - installing the CUDA 13 build, which needs driver 580 or newer"
LLAMA_ASSET="llama-*-bin-ubuntu-cuda-${var_backend#cuda-}.*-${LLAMA_ARCH}.tar.gz"
LLAMA_CUDART_ASSET="cudart-${LLAMA_ASSET}"
;;
rocm) LLAMA_ASSET="llama-*-bin-ubuntu-rocm-*-x64.tar.gz" ;;
sycl-fp16 | sycl-fp32) LLAMA_ASSET="llama-*-bin-ubuntu-${var_backend}-x64.tar.gz" ;;
openvino) LLAMA_ASSET="llama-*-bin-ubuntu-openvino-*x64.tar.gz" ;;
*) LLAMA_ASSET="llama-*-bin-ubuntu-${LLAMA_ARCH}.tar.gz" ;;
esac

# Only the bNNNN builds carry binaries, and upstream marks them prerelease. A
# stable vX.Y.Z release ships just nightly-tag.txt, naming the build it was cut
# from, so without GH_INCLUDE_PRERELEASE=1 that build is the one deployed.
mkdir -p /opt/llama-cpp_data/models
if [[ "${GH_INCLUDE_PRERELEASE:-0}" == "1" ]]; then
fetch_and_deploy_gh_release "llama-cpp" "ggml-org/llama.cpp" "prebuild" "latest" "/opt/llama-cpp" "$LLAMA_ASSET" "b"
LLAMA_RELEASE="$(cat ~/.llama-cpp)"
else
USE_ORIGINAL_FILENAME=true fetch_and_deploy_gh_release "llama-cpp-stable" "ggml-org/llama.cpp" "singlefile" "latest" "/opt/llama-cpp_data" "nightly-tag.txt"
LLAMA_RELEASE="$(</opt/llama-cpp_data/nightly-tag.txt)"
fetch_and_deploy_gh_release "llama-cpp" "ggml-org/llama.cpp" "prebuild" "$LLAMA_RELEASE" "/opt/llama-cpp" "$LLAMA_ASSET"
fi
if [[ -n "$LLAMA_CUDART_ASSET" ]]; then
fetch_and_deploy_gh_release "llama-cpp-cudart" "ggml-org/llama.cpp" "prebuild" "$LLAMA_RELEASE" "/opt/llama-cpp" "$LLAMA_CUDART_ASSET"
fi
LLAMA_LIBPATH="/opt/llama-cpp"

# The ROCm build carries no ROCm libraries. release.yml builds it against AMD's
# TheRock wheels, so install the same ROCm release of those as the runtime.
if [[ "$var_backend" == "rocm" ]]; then
ROCM_VERSION="$(jq -r --arg t "$LLAMA_RELEASE" 'if type == "array" then .[] else . end | select(.tag_name == $t) | .assets[].name' "$TOOLS_GH_REL_JSON" 2>/dev/null | grep -oP 'bin-ubuntu-rocm-\K[0-9.]+(?=-x64)' | head -1)"
if [[ -z "$ROCM_VERSION" ]]; then
msg_error "Could not read the ROCm release the llama.cpp ${LLAMA_RELEASE} build targets"
exit 1
fi
PYTHON_VERSION="3.12" setup_uv
msg_info "Installing ROCm ${ROCM_VERSION} Runtime"
$STD uv venv --python 3.12 /opt/llama-cpp_data/rocm
$STD uv pip install --python /opt/llama-cpp_data/rocm --index-url https://stable.repo.amd.com/rocm/whl-next/ "rocm[libraries]==${ROCM_VERSION}.*"
echo "$ROCM_VERSION" >/opt/llama-cpp_data/rocm/.version
LLAMA_LIBPATH="${LLAMA_LIBPATH}:$(/opt/llama-cpp_data/rocm/bin/rocm-sdk path --root)/lib"
msg_ok "Installed ROCm ${ROCM_VERSION} Runtime"
fi

msg_info "Configuring llama.cpp"
chmod +x /opt/llama-cpp/llama-*
mkdir -p /opt/llama-cpp_data/models
echo "$var_backend" >/opt/llama-cpp_data/.backend
echo "${GH_INCLUDE_PRERELEASE:-0}" >/opt/llama-cpp_data/.prerelease
if [[ -z "$var_offload_layers" ]]; then
[[ "$var_backend" == "cpu" ]] && var_offload_layers=0 || var_offload_layers=999
fi
Expand All @@ -80,11 +165,36 @@ LLAMA_ARG_PORT=${var_port}
#LLAMA_ARG_MODEL=/opt/llama-cpp_data/models/your-model.gguf
# ...or let llama-server pull one from Hugging Face on first start:
LLAMA_ARG_HF_REPO=${var_model_repo}
# Model switching: comment out LLAMA_ARG_HF_REPO (and LLAMA_ARG_MODEL) to serve
# every model in this folder and pick one per request from the web UI or API:
LLAMA_ARG_MODELS_DIR=/opt/llama-cpp_data/models
LLAMA_CACHE=/opt/llama-cpp_data/models
LLAMA_ARG_CTX_SIZE=${var_ctx_size}
LLAMA_ARG_N_GPU_LAYERS=${var_offload_layers}
EOF
case "$var_backend" in
sycl-*)
cat <<EOF >>/opt/llama-cpp.env
# SYCL: the persistent kernel cache speeds up restarts but can stop models
# from loading on some Intel GPUs, so it is off by default
#SYCL_CACHE_PERSISTENT=1
#SYCL_CACHE_DIR=/opt/llama-cpp_data/sycl-cache
#ONEAPI_DEVICE_SELECTOR=level_zero:0
EOF
;;
openvino)
OV_DEVICE="CPU"
compgen -G "/dev/dri/renderD*" >/dev/null && OV_DEVICE="GPU"
cat <<EOF >>/opt/llama-cpp.env
# OpenVINO device: CPU, GPU (GPU.0, GPU.1, ...) or NPU
GGML_OPENVINO_DEVICE=${OV_DEVICE}
GGML_OPENVINO_CACHE_DIR=/opt/llama-cpp_data/openvino-cache
EOF
;;
esac
# An empty LLAMA_ARG_API_KEY makes llama-server demand an empty bearer token.
if [[ -n "$var_api_key" ]]; then
echo "LLAMA_ARG_API_KEY=${var_api_key}" >>/opt/llama-cpp.env
Expand All @@ -95,10 +205,14 @@ chmod 600 /opt/llama-cpp.env
msg_ok "Configured llama.cpp (${var_backend} build)"

if [[ "$var_backend" != "cpu" ]]; then
if LD_LIBRARY_PATH=/opt/llama-cpp ldd /opt/llama-cpp/llama-server 2>/dev/null | grep -q "not found"; then
if LD_LIBRARY_PATH="$LLAMA_LIBPATH" ldd /opt/llama-cpp/llama-server /opt/llama-cpp/libggml-*.so 2>/dev/null | grep -q "not found"; then
msg_warn "The ${var_backend} build is missing shared libraries in this container - it will fall back to the CPU"
elif [[ "$var_backend" == "vulkan" ]] && ! vulkaninfo --summary >/dev/null 2>&1; then
msg_warn "Vulkan build installed but no Vulkan device is visible - check GPU passthrough and the driver libraries in the container"
elif [[ "$var_backend" == cuda-* ]] && ! ldconfig -p | grep -q 'libcuda[.]so'; then
msg_warn "CUDA build installed but the NVIDIA driver library (libcuda) is missing - check GPU passthrough"
elif [[ "$var_backend" == sycl-* || "$var_backend" == "rocm" ]] && [[ ! -d /dev/dri && ! -e /dev/kfd ]]; then
msg_warn "${var_backend} build installed but no GPU is passed through - it will fall back to the CPU"
fi
fi

Expand All @@ -114,7 +228,7 @@ Type=simple
User=root
WorkingDirectory=/opt/llama-cpp
EnvironmentFile=/opt/llama-cpp.env
Environment=LD_LIBRARY_PATH=/opt/llama-cpp
Environment=LD_LIBRARY_PATH=${LLAMA_LIBPATH}
ExecStart=/opt/llama-cpp/llama-server
Restart=on-failure
RestartSec=10
Expand Down
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