feat(paged): restrict llama-cpp-localai-paged to CUDA-only build targets

The paged backend previously built for cublas/cuda, cpu, vulkan, sycl,
hipblas and darwin/metal. On non-CUDA the patchset's wins are inert: the
GDN fusions are gated off (patch 0030) and NVFP4 falls back to dequant,
so the backend is neutral-to-negative there (README section 4c). The
darwin grpc-server link also fails on undefined upstream server symbols,
turning CI red. Both broken and pointless off-CUDA, so ship CUDA-only.

- backend-matrix.yml: drop the hipblas, sycl f32/f16, cpu amd64/arm64,
  vulkan amd64/arm64 and metal-darwin rows for this backend; keep the
  four cublas rows (cuda-12, cuda-13, nvidia-l4t cuda-12 and cuda-13).
- index.yaml: meta-backend (and -development) capabilities are now
  CUDA-only with default pointing at cuda12 (mirrors faster-qwen3-tts);
  removed the orphaned cpu/rocm/sycl/vulkan/metal variant entries.
- Removed the now-unused darwin build script and its Makefile target /
  .NOTPARALLEL entry / backend_build_darwin.yml step.
- Documented the CUDA-only build coverage in the patch README and plan.

Non-CUDA users should use the stock llama-cpp backend.

Assisted-by: Claude:opus-4.8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
This commit is contained in:
Ettore Di Giacinto
2026-06-27 12:29:15 +00:00
parent 9115c2c52c
commit a4e730979d
7 changed files with 25 additions and 299 deletions

View File

@@ -4928,78 +4928,6 @@ include:
backend: "llama-cpp-localai-paged"
dockerfile: "./backend/Dockerfile.llama-cpp-localai-paged"
context: "./"
- build-type: 'hipblas'
cuda-major-version: ""
cuda-minor-version: ""
platforms: 'linux/amd64'
tag-latest: 'auto'
tag-suffix: '-gpu-rocm-hipblas-llama-cpp-localai-paged'
builder-base-image: 'quay.io/go-skynet/ci-cache:base-grpc-rocm-amd64'
runs-on: 'ubuntu-latest'
base-image: "rocm/dev-ubuntu-24.04:7.2.1"
skip-drivers: 'false'
backend: "llama-cpp-localai-paged"
dockerfile: "./backend/Dockerfile.llama-cpp-localai-paged"
context: "./"
ubuntu-version: '2404'
- build-type: 'sycl_f32'
cuda-major-version: ""
cuda-minor-version: ""
platforms: 'linux/amd64'
tag-latest: 'auto'
tag-suffix: '-gpu-intel-sycl-f32-llama-cpp-localai-paged'
builder-base-image: 'quay.io/go-skynet/ci-cache:base-grpc-intel-amd64'
runs-on: 'ubuntu-latest'
base-image: "intel/oneapi-basekit:2025.3.2-0-devel-ubuntu24.04"
skip-drivers: 'false'
backend: "llama-cpp-localai-paged"
dockerfile: "./backend/Dockerfile.llama-cpp-localai-paged"
context: "./"
ubuntu-version: '2404'
- build-type: 'sycl_f16'
cuda-major-version: ""
cuda-minor-version: ""
platforms: 'linux/amd64'
tag-latest: 'auto'
tag-suffix: '-gpu-intel-sycl-f16-llama-cpp-localai-paged'
builder-base-image: 'quay.io/go-skynet/ci-cache:base-grpc-intel-amd64'
runs-on: 'ubuntu-latest'
base-image: "intel/oneapi-basekit:2025.3.0-0-devel-ubuntu24.04"
skip-drivers: 'false'
backend: "llama-cpp-localai-paged"
dockerfile: "./backend/Dockerfile.llama-cpp-localai-paged"
context: "./"
ubuntu-version: '2404'
- build-type: ''
cuda-major-version: ""
cuda-minor-version: ""
platforms: 'linux/amd64'
platform-tag: 'amd64'
tag-latest: 'auto'
tag-suffix: '-cpu-llama-cpp-localai-paged'
builder-base-image: 'quay.io/go-skynet/ci-cache:base-grpc-amd64'
runs-on: 'ubuntu-latest'
base-image: "ubuntu:24.04"
skip-drivers: 'false'
backend: "llama-cpp-localai-paged"
dockerfile: "./backend/Dockerfile.llama-cpp-localai-paged"
context: "./"
ubuntu-version: '2404'
- build-type: ''
cuda-major-version: ""
cuda-minor-version: ""
platforms: 'linux/arm64'
platform-tag: 'arm64'
tag-latest: 'auto'
tag-suffix: '-cpu-llama-cpp-localai-paged'
builder-base-image: 'quay.io/go-skynet/ci-cache:base-grpc-arm64'
runs-on: 'ubuntu-24.04-arm'
base-image: "ubuntu:24.04"
skip-drivers: 'false'
backend: "llama-cpp-localai-paged"
dockerfile: "./backend/Dockerfile.llama-cpp-localai-paged"
context: "./"
ubuntu-version: '2404'
- build-type: 'cublas'
cuda-major-version: "12"
cuda-minor-version: "0"
@@ -5014,36 +4942,6 @@ include:
dockerfile: "./backend/Dockerfile.llama-cpp-localai-paged"
context: "./"
ubuntu-version: '2204'
- build-type: 'vulkan'
cuda-major-version: ""
cuda-minor-version: ""
platforms: 'linux/amd64'
platform-tag: 'amd64'
tag-latest: 'auto'
tag-suffix: '-gpu-vulkan-llama-cpp-localai-paged'
builder-base-image: 'quay.io/go-skynet/ci-cache:base-grpc-vulkan-amd64'
runs-on: 'ubuntu-latest'
base-image: "ubuntu:24.04"
skip-drivers: 'false'
backend: "llama-cpp-localai-paged"
dockerfile: "./backend/Dockerfile.llama-cpp-localai-paged"
context: "./"
ubuntu-version: '2404'
- build-type: 'vulkan'
cuda-major-version: ""
cuda-minor-version: ""
platforms: 'linux/arm64'
platform-tag: 'arm64'
tag-latest: 'auto'
tag-suffix: '-gpu-vulkan-llama-cpp-localai-paged'
builder-base-image: 'quay.io/go-skynet/ci-cache:base-grpc-vulkan-arm64'
runs-on: 'ubuntu-24.04-arm'
base-image: "ubuntu:24.04"
skip-drivers: 'false'
backend: "llama-cpp-localai-paged"
dockerfile: "./backend/Dockerfile.llama-cpp-localai-paged"
context: "./"
ubuntu-version: '2404'
# Darwin matrix (consumed by backend-jobs-darwin).
includeDarwin:
@@ -5071,16 +4969,6 @@ includeDarwin:
- backend: "llama-cpp"
tag-suffix: "-metal-darwin-arm64-llama-cpp"
lang: "go"
# llama-cpp-localai-paged on Darwin: same bespoke CPU_ALL_VARIANTS + Metal build
# as stock llama-cpp (driven by make backends/llama-cpp-localai-paged-darwin),
# reusing backend/cpp/llama-cpp sources, with the paged patch series applied by the wrapper. lang=go selects the
# runner/toolchain only; the source path is C++. Metal delivers paged-KV (the
# NVFP4 FP4-MMA fast path is CUDA/Blackwell-only) and the GDN/conv fused ops have
# no Metal kernel, so a gated-DeltaNet (qwen35) model falls back to the CPU
# reference op at runtime (made safe by the fused-op backend gate, patch 0030).
- backend: "llama-cpp-localai-paged"
tag-suffix: "-metal-darwin-arm64-llama-cpp-localai-paged"
lang: "go"
- backend: "stablediffusion-ggml"
tag-suffix: "-metal-darwin-arm64-stablediffusion-ggml"
build-type: "metal"

View File

@@ -230,16 +230,6 @@ jobs:
make protogen-go
make backends/llama-cpp-darwin
# llama-cpp-localai-paged reuses the same bespoke llama-cpp darwin build path
# (CPU_ALL_VARIANTS + Metal + otool dylib bundling) via its own wrapper script,
# so it gets a dedicated step like stock llama-cpp rather than the generic
# build-darwin-go-backend mold.
- name: Build ${{ inputs.backend }}-darwin (llama-cpp-localai-paged)
if: inputs.backend == 'llama-cpp-localai-paged'
run: |
make protogen-go
make backends/llama-cpp-localai-paged-darwin
- name: Build ds4 backend (Darwin Metal)
if: inputs.backend == 'ds4'
run: |
@@ -255,7 +245,7 @@ jobs:
make backends/privacy-filter-darwin
- name: Build ${{ inputs.backend }}-darwin
if: inputs.backend != 'llama-cpp' && inputs.backend != 'llama-cpp-localai-paged' && inputs.backend != 'ds4' && inputs.backend != 'privacy-filter'
if: inputs.backend != 'llama-cpp' && inputs.backend != 'ds4' && inputs.backend != 'privacy-filter'
run: |
make protogen-go
BACKEND=${{ inputs.backend }} BUILD_TYPE=${{ inputs.build-type }} USE_PIP=${{ inputs.use-pip }} make build-darwin-${{ inputs.lang }}-backend

View File

@@ -1,5 +1,5 @@
# Disable parallel execution for backend builds
.NOTPARALLEL: backends/diffusers backends/llama-cpp backends/turboquant backends/outetts backends/piper backends/stablediffusion-ggml backends/whisper backends/crispasr backends/parakeet-cpp backends/faster-whisper backends/silero-vad backends/local-store backends/huggingface backends/rfdetr backends/rfdetr-cpp backends/insightface backends/speaker-recognition backends/kitten-tts backends/kokoro backends/chatterbox backends/llama-cpp-darwin backends/neutts build-darwin-python-backend build-darwin-go-backend backends/mlx backends/diffuser-darwin backends/mlx-vlm backends/mlx-audio backends/mlx-distributed backends/stablediffusion-ggml-darwin backends/vllm backends/vllm-omni backends/sglang backends/moonshine backends/pocket-tts backends/qwen-tts backends/faster-qwen3-tts backends/qwen-asr backends/nemo backends/voxcpm backends/whisperx backends/ace-step backends/acestep-cpp backends/fish-speech backends/voxtral backends/opus backends/trl backends/llama-cpp-quantization backends/kokoros backends/sam3-cpp backends/qwen3-tts-cpp backends/omnivoice-cpp backends/vibevoice-cpp backends/localvqe backends/tinygrad backends/sherpa-onnx backends/ds4 backends/ds4-darwin backends/liquid-audio backends/supertonic backends/depth-anything-cpp backends/privacy-filter backends/privacy-filter-darwin backends/llama-cpp-localai-paged backends/llama-cpp-localai-paged-darwin
.NOTPARALLEL: backends/diffusers backends/llama-cpp backends/turboquant backends/outetts backends/piper backends/stablediffusion-ggml backends/whisper backends/crispasr backends/parakeet-cpp backends/faster-whisper backends/silero-vad backends/local-store backends/huggingface backends/rfdetr backends/rfdetr-cpp backends/insightface backends/speaker-recognition backends/kitten-tts backends/kokoro backends/chatterbox backends/llama-cpp-darwin backends/neutts build-darwin-python-backend build-darwin-go-backend backends/mlx backends/diffuser-darwin backends/mlx-vlm backends/mlx-audio backends/mlx-distributed backends/stablediffusion-ggml-darwin backends/vllm backends/vllm-omni backends/sglang backends/moonshine backends/pocket-tts backends/qwen-tts backends/faster-qwen3-tts backends/qwen-asr backends/nemo backends/voxcpm backends/whisperx backends/ace-step backends/acestep-cpp backends/fish-speech backends/voxtral backends/opus backends/trl backends/llama-cpp-quantization backends/kokoros backends/sam3-cpp backends/qwen3-tts-cpp backends/omnivoice-cpp backends/vibevoice-cpp backends/localvqe backends/tinygrad backends/sherpa-onnx backends/ds4 backends/ds4-darwin backends/liquid-audio backends/supertonic backends/depth-anything-cpp backends/privacy-filter backends/privacy-filter-darwin backends/llama-cpp-localai-paged
GOCMD=go
GOTEST=$(GOCMD) test
@@ -1141,13 +1141,6 @@ backends/llama-cpp-darwin: build
bash ./scripts/build/llama-cpp-darwin.sh
./local-ai backends install "ocifile://$(abspath ./backend-images/llama-cpp.tar)"
# llama-cpp-localai-paged on Darwin: same bespoke CPU_ALL_VARIANTS + Metal build as
# stock llama-cpp (otool dylib bundling), driven through the paged wrapper Makefile,
# which applies its own vendored paged patch series. Mirrors backends/llama-cpp-darwin.
backends/llama-cpp-localai-paged-darwin: build
bash ./scripts/build/llama-cpp-localai-paged-darwin.sh
./local-ai backends install "ocifile://$(abspath ./backend-images/llama-cpp-localai-paged.tar)"
backends/ds4-darwin: build
bash ./scripts/build/ds4-darwin.sh
./local-ai backends install "ocifile://$(abspath ./backend-images/ds4.tar)"

View File

@@ -3,6 +3,13 @@
Scoping deliverable only. NOTHING is changed by this document. It is grounded in the
actual repo structure (read 2026-06-26 in worktree feat+paged-attention), not assumptions.
SHIPPED REALITY (update 2026-06-27): the backend ships CUDA-only. The matrix rows and
the index.yaml meta-backend keep ONLY the CUDA/cublas variants (cuda-12, cuda-13, and
the nvidia-l4t arm64 cuda-12/cuda-13 Jetson rows). The cpu / vulkan / sycl / hipblas /
metal-darwin variants discussed below as optional/phase-2 were NOT shipped (and the
darwin row was removed): off-CUDA the patchset's wins gate off, so it is neutral-to-
negative there and non-CUDA users should use the stock llama-cpp backend (README 4c).
================================================================================
0. GROUND TRUTH (what the repo actually does today)
================================================================================

View File

@@ -344,6 +344,14 @@ in a recommended/gallery config.
## 8. Models
> **Build coverage: CUDA-only.** This backend ships only the CUDA/cublas build
> targets (cuda-12, cuda-13, and the nvidia-l4t arm64 cuda-12/cuda-13 Jetson
> rows). There are no cpu / vulkan / sycl / hipblas / metal-darwin builds: the
> patchset's wins are CUDA/Blackwell-specific (section 4c), so off-CUDA the
> backend is neutral-to-negative and non-CUDA users should run the stock
> `llama-cpp` backend instead. The `backend/index.yaml` meta-backend resolves
> `default`/`nvidia` to a CUDA variant accordingly.
The benchmarked NVFP4 GGUFs are published and wired into the LocalAI gallery:
| Gallery entry | Weights (HuggingFace) | Notes |

View File

@@ -92,20 +92,18 @@
tags:
- text-to-text
- LLM
- CPU
- GPU
- Metal
- CUDA
- HIP
- paged-attention
- nvfp4
# CUDA-only: the paged patchset's wins (GDN fusions, NVFP4 FP4-MMA) are
# CUDA/Blackwell-specific; off-CUDA they gate off and the backend is
# neutral-to-negative, so non-CUDA users should use the stock llama-cpp
# backend. default points at cuda12 (mirrors faster-qwen3-tts) so the gallery
# entries always resolve to a CUDA variant.
capabilities:
default: "cpu-llama-cpp-localai-paged"
default: "cuda12-llama-cpp-localai-paged"
nvidia: "cuda12-llama-cpp-localai-paged"
intel: "intel-sycl-f16-llama-cpp-localai-paged"
amd: "rocm-llama-cpp-localai-paged"
metal: "metal-llama-cpp-localai-paged"
vulkan: "vulkan-llama-cpp-localai-paged"
nvidia-l4t: "nvidia-l4t-arm64-llama-cpp-localai-paged"
nvidia-cuda-13: "cuda13-llama-cpp-localai-paged"
nvidia-cuda-12: "cuda12-llama-cpp-localai-paged"
@@ -1681,11 +1679,8 @@
- !!merge <<: *llamacpplocalaipaged
name: "llama-cpp-localai-paged-development"
capabilities:
default: "cpu-llama-cpp-localai-paged-development"
default: "cuda12-llama-cpp-localai-paged-development"
nvidia: "cuda12-llama-cpp-localai-paged-development"
intel: "intel-sycl-f16-llama-cpp-localai-paged-development"
amd: "rocm-llama-cpp-localai-paged-development"
vulkan: "vulkan-llama-cpp-localai-paged-development"
nvidia-l4t: "nvidia-l4t-arm64-llama-cpp-localai-paged-development"
nvidia-cuda-13: "cuda13-llama-cpp-localai-paged-development"
nvidia-cuda-12: "cuda12-llama-cpp-localai-paged-development"
@@ -2359,17 +2354,7 @@
uri: "quay.io/go-skynet/local-ai-backends:master-nvidia-l4t-cuda-13-arm64-turboquant"
mirrors:
- localai/localai-backends:master-nvidia-l4t-cuda-13-arm64-turboquant
## llama-cpp-localai-paged
- !!merge <<: *llamacpplocalaipaged
name: "cpu-llama-cpp-localai-paged"
uri: "quay.io/go-skynet/local-ai-backends:latest-cpu-llama-cpp-localai-paged"
mirrors:
- localai/localai-backends:latest-cpu-llama-cpp-localai-paged
- !!merge <<: *llamacpplocalaipaged
name: "cpu-llama-cpp-localai-paged-development"
uri: "quay.io/go-skynet/local-ai-backends:master-cpu-llama-cpp-localai-paged"
mirrors:
- localai/localai-backends:master-cpu-llama-cpp-localai-paged
## llama-cpp-localai-paged (CUDA-only; see backend/cpp/llama-cpp-localai-paged/patches/paged/README.md section 4c)
- !!merge <<: *llamacpplocalaipaged
name: "cuda12-llama-cpp-localai-paged"
uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-nvidia-cuda-12-llama-cpp-localai-paged"
@@ -2390,56 +2375,6 @@
uri: "quay.io/go-skynet/local-ai-backends:master-gpu-nvidia-cuda-13-llama-cpp-localai-paged"
mirrors:
- localai/localai-backends:master-gpu-nvidia-cuda-13-llama-cpp-localai-paged
- !!merge <<: *llamacpplocalaipaged
name: "rocm-llama-cpp-localai-paged"
uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-rocm-hipblas-llama-cpp-localai-paged"
mirrors:
- localai/localai-backends:latest-gpu-rocm-hipblas-llama-cpp-localai-paged
- !!merge <<: *llamacpplocalaipaged
name: "rocm-llama-cpp-localai-paged-development"
uri: "quay.io/go-skynet/local-ai-backends:master-gpu-rocm-hipblas-llama-cpp-localai-paged"
mirrors:
- localai/localai-backends:master-gpu-rocm-hipblas-llama-cpp-localai-paged
- !!merge <<: *llamacpplocalaipaged
name: "intel-sycl-f32-llama-cpp-localai-paged"
uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-intel-sycl-f32-llama-cpp-localai-paged"
mirrors:
- localai/localai-backends:latest-gpu-intel-sycl-f32-llama-cpp-localai-paged
- !!merge <<: *llamacpplocalaipaged
name: "intel-sycl-f32-llama-cpp-localai-paged-development"
uri: "quay.io/go-skynet/local-ai-backends:master-gpu-intel-sycl-f32-llama-cpp-localai-paged"
mirrors:
- localai/localai-backends:master-gpu-intel-sycl-f32-llama-cpp-localai-paged
- !!merge <<: *llamacpplocalaipaged
name: "intel-sycl-f16-llama-cpp-localai-paged"
uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-intel-sycl-f16-llama-cpp-localai-paged"
mirrors:
- localai/localai-backends:latest-gpu-intel-sycl-f16-llama-cpp-localai-paged
- !!merge <<: *llamacpplocalaipaged
name: "intel-sycl-f16-llama-cpp-localai-paged-development"
uri: "quay.io/go-skynet/local-ai-backends:master-gpu-intel-sycl-f16-llama-cpp-localai-paged"
mirrors:
- localai/localai-backends:master-gpu-intel-sycl-f16-llama-cpp-localai-paged
- !!merge <<: *llamacpplocalaipaged
name: "vulkan-llama-cpp-localai-paged"
uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-vulkan-llama-cpp-localai-paged"
mirrors:
- localai/localai-backends:latest-gpu-vulkan-llama-cpp-localai-paged
- !!merge <<: *llamacpplocalaipaged
name: "vulkan-llama-cpp-localai-paged-development"
uri: "quay.io/go-skynet/local-ai-backends:master-gpu-vulkan-llama-cpp-localai-paged"
mirrors:
- localai/localai-backends:master-gpu-vulkan-llama-cpp-localai-paged
- !!merge <<: *llamacpplocalaipaged
name: "metal-llama-cpp-localai-paged"
uri: "quay.io/go-skynet/local-ai-backends:latest-metal-darwin-arm64-llama-cpp-localai-paged"
mirrors:
- localai/localai-backends:latest-metal-darwin-arm64-llama-cpp-localai-paged
- !!merge <<: *llamacpplocalaipaged
name: "metal-llama-cpp-localai-paged-development"
uri: "quay.io/go-skynet/local-ai-backends:master-metal-darwin-arm64-llama-cpp-localai-paged"
mirrors:
- localai/localai-backends:master-metal-darwin-arm64-llama-cpp-localai-paged
- !!merge <<: *llamacpplocalaipaged
name: "nvidia-l4t-arm64-llama-cpp-localai-paged"
uri: "quay.io/go-skynet/local-ai-backends:latest-nvidia-l4t-arm64-llama-cpp-localai-paged"

View File

@@ -1,95 +0,0 @@
#!/bin/bash
set -ex
# Darwin/Metal build for the llama-cpp-localai-paged backend. Mirrors
# scripts/build/llama-cpp-darwin.sh exactly, swapping the build dir, binary names,
# shared-lib dir and output tar for the paged wrapper. The paged wrapper Makefile
# (backend/cpp/llama-cpp-localai-paged) reuses backend/cpp/llama-cpp's CMakeLists
# /grpc-server and applies its own vendored paged patch series (patches/paged/)
# onto the cloned tree, so the Darwin/Metal path is identical: ggml
# CPU_ALL_VARIANTS + GGML_METAL=ON, and --target ggml pulls in ggml-metal via
# add_dependencies so the Metal GPU backend is produced as a loadable
# libggml-metal.dylib. The new paged GDN/conv ops have no Metal kernel, so a
# gated-DeltaNet (qwen35) model falls back to the CPU reference op at runtime
# (assert/fall-back is made SAFE by the fused-op backend gate, patch 0030); a
# non-qwen35 model gets the full paged-KV path on Metal.
IMAGE_NAME="${IMAGE_NAME:-localai/llama-cpp-localai-paged-darwin}"
pushd backend/cpp/llama-cpp-localai-paged
# Single build via ggml CPU_ALL_VARIANTS: one binary plus the per-microarch Apple/arm
# dylibs (apple_m1/m2_m3/m4, armv8.x) that ggml selects at runtime. GGML_METAL stays ON
# and --target ggml also builds ggml-metal (via add_dependencies), so the Metal GPU
# backend is still produced as a loadable libggml-metal.dylib.
make llama-cpp-localai-paged-cpu-all && \
make llama-cpp-localai-paged-grpc && \
make llama-cpp-localai-paged-rpc-server
popd
mkdir -p build/darwin
mkdir -p backend-images
mkdir -p build/darwin/lib
cp -rf backend/cpp/llama-cpp-localai-paged/llama-cpp-localai-paged-cpu-all build/darwin/
cp -rf backend/cpp/llama-cpp-localai-paged/llama-cpp-localai-paged-grpc build/darwin/
cp -rf backend/cpp/llama-cpp-localai-paged/llama-cpp-localai-paged-rpc-server build/darwin/
# Distribute the shared ggml/llama libraries from the CPU_ALL_VARIANTS build. Unlike the
# old fully-static fallback build, these have @rpath install names, so the otool loop below
# (which only copies deps that exist on disk) will not pick them up. The split is by suffix:
# - ggml emits its loadable backends (per-microarch CPU variants, metal, blas) with a .so
# suffix EVEN ON DARWIN. These go in the package ROOT next to the binary, because darwin
# run.sh execs the binary directly (no bundled ld.so) so ggml's executable-directory
# scan looks there.
# - the core libraries (libggml-base/libggml/libllama/libllama-common/libmtmd) use the
# platform .dylib suffix and are NEEDED deps; they go in lib/, resolved at load time via
# the DYLD_LIBRARY_PATH=lib that run.sh exports. -a preserves the version symlinks.
SHLIBS=backend/cpp/llama-cpp-localai-paged/ggml-shared-libs
cp -a $SHLIBS/*.so build/darwin/
cp -a $SHLIBS/*.dylib build/darwin/lib/
# Set default additional libs only for Darwin on M chips (arm64)
if [[ "$(uname -s)" == "Darwin" && "$(uname -m)" == "arm64" ]]; then
ADDITIONAL_LIBS=${ADDITIONAL_LIBS:-$(ls /opt/homebrew/Cellar/protobuf/**/lib/libutf8_validity*.dylib 2>/dev/null)}
else
ADDITIONAL_LIBS=${ADDITIONAL_LIBS:-""}
fi
for file in $ADDITIONAL_LIBS; do
cp -rfv $file build/darwin/lib
done
for file in build/darwin/*; do
LIBS="$(otool -L $file | awk 'NR > 1 { system("echo " $1) } ' | xargs echo)"
for lib in $LIBS; do
# only libraries ending in dylib
if [[ "$lib" == *.dylib ]]; then
if [ -e "$lib" ]; then
cp -rvf "$lib" build/darwin/lib
fi
fi
done
done
echo "--------------------------------"
echo "ADDITIONAL_LIBS: $ADDITIONAL_LIBS"
echo "--------------------------------"
echo "Bundled libraries:"
ls -la build/darwin/lib
cp -rf backend/cpp/llama-cpp-localai-paged/run.sh build/darwin/
PLATFORMARCH="${PLATFORMARCH:-darwin/arm64}"
./local-ai util create-oci-image \
build/darwin/. \
--output ./backend-images/llama-cpp-localai-paged.tar \
--image-name $IMAGE_NAME \
--platform $PLATFORMARCH
rm -rf build/darwin