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deps(llama.cpp): bump to latest, update build variables (#2669)

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* arrow_up: Update ggerganov/llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* deps(llama.cpp): update build variables to follow upstream

Update build recipes with https://github.com/ggerganov/llama.cpp/pull/8006

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Disable shared libs by default in llama.cpp

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Disable shared libs in llama.cpp Makefile

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Disable metal embedding for now, until it is tested

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix(mac): explicitly enable metal

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* debug

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix typo

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

---------

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
This commit is contained in:
Ettore Di Giacinto 2024-06-27 23:10:04 +02:00 committed by GitHub
parent 30b883affe
commit 7b1e792732
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9 changed files with 39 additions and 32 deletions
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2
.github/workflows/test.yml vendored
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@ -220,7 +220,7 @@ jobs:
export CPLUS_INCLUDE_PATH=/usr/local/include export CPLUS_INCLUDE_PATH=/usr/local/include
# Used to run the newer GNUMake version from brew that supports --output-sync # Used to run the newer GNUMake version from brew that supports --output-sync
export PATH="/opt/homebrew/opt/make/libexec/gnubin:$PATH" export PATH="/opt/homebrew/opt/make/libexec/gnubin:$PATH"
BUILD_TYPE="GITHUB_CI_HAS_BROKEN_METAL" CMAKE_ARGS="-DLLAMA_F16C=OFF -DLLAMA_AVX512=OFF -DLLAMA_AVX2=OFF -DLLAMA_FMA=OFF" make --jobs 4 --output-sync=target test BUILD_TYPE="GITHUB_CI_HAS_BROKEN_METAL" CMAKE_ARGS="-DGGML_F16C=OFF -DGGML_AVX512=OFF -DGGML_AVX2=OFF -DGGML_FMA=OFF" make --jobs 4 --output-sync=target test
- name: Setup tmate session if tests fail - name: Setup tmate session if tests fail
if: ${{ failure() }} if: ${{ failure() }}
uses: mxschmitt/action-tmate@v3.18 uses: mxschmitt/action-tmate@v3.18

26
Makefile
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@ -5,7 +5,7 @@ BINARY_NAME=local-ai
# llama.cpp versions # llama.cpp versions
GOLLAMA_STABLE_VERSION?=2b57a8ae43e4699d3dc5d1496a1ccd42922993be GOLLAMA_STABLE_VERSION?=2b57a8ae43e4699d3dc5d1496a1ccd42922993be
CPPLLAMA_VERSION?=e112b610a1a75cb7fa8351e1a933e2e7a755a5ce CPPLLAMA_VERSION?=ae5d0f4b899ff2842bfca561370c945ad8d4368b
# gpt4all version # gpt4all version
GPT4ALL_REPO?=https://github.com/nomic-ai/gpt4all GPT4ALL_REPO?=https://github.com/nomic-ai/gpt4all
@ -80,8 +80,8 @@ ifeq ($(OS),Darwin)
BUILD_TYPE=metal BUILD_TYPE=metal
# disable metal if on Darwin and any other value is explicitly passed. # disable metal if on Darwin and any other value is explicitly passed.
else ifneq ($(BUILD_TYPE),metal) else ifneq ($(BUILD_TYPE),metal)
CMAKE_ARGS+=-DLLAMA_METAL=OFF CMAKE_ARGS+=-DGGML_METAL=OFF
export LLAMA_NO_ACCELERATE=1 export GGML_NO_ACCELERATE=1
endif endif
ifeq ($(BUILD_TYPE),metal) ifeq ($(BUILD_TYPE),metal)
@ -98,13 +98,13 @@ endif
ifeq ($(BUILD_TYPE),cublas) ifeq ($(BUILD_TYPE),cublas)
CGO_LDFLAGS+=-lcublas -lcudart -L$(CUDA_LIBPATH) CGO_LDFLAGS+=-lcublas -lcudart -L$(CUDA_LIBPATH)
export LLAMA_CUBLAS=1 export GGML_CUDA=1
export WHISPER_CUDA=1 export WHISPER_CUDA=1
CGO_LDFLAGS_WHISPER+=-L$(CUDA_LIBPATH)/stubs/ -lcuda -lcufft CGO_LDFLAGS_WHISPER+=-L$(CUDA_LIBPATH)/stubs/ -lcuda -lcufft
endif endif
ifeq ($(BUILD_TYPE),vulkan) ifeq ($(BUILD_TYPE),vulkan)
CMAKE_ARGS+=-DLLAMA_VULKAN=1 CMAKE_ARGS+=-DGGML_VULKAN=1
endif endif
ifeq ($(BUILD_TYPE),hipblas) ifeq ($(BUILD_TYPE),hipblas)
@ -118,13 +118,13 @@ ifeq ($(BUILD_TYPE),hipblas)
export WHISPER_HIPBLAS=1 export WHISPER_HIPBLAS=1
GPU_TARGETS ?= gfx900,gfx906,gfx908,gfx940,gfx941,gfx942,gfx90a,gfx1030,gfx1031,gfx1100,gfx1101 GPU_TARGETS ?= gfx900,gfx906,gfx908,gfx940,gfx941,gfx942,gfx90a,gfx1030,gfx1031,gfx1100,gfx1101
AMDGPU_TARGETS ?= "$(GPU_TARGETS)" AMDGPU_TARGETS ?= "$(GPU_TARGETS)"
CMAKE_ARGS+=-DLLAMA_HIPBLAS=ON -DAMDGPU_TARGETS="$(AMDGPU_TARGETS)" -DGPU_TARGETS="$(GPU_TARGETS)" CMAKE_ARGS+=-DGGML_HIPBLAS=ON -DAMDGPU_TARGETS="$(AMDGPU_TARGETS)" -DGPU_TARGETS="$(GPU_TARGETS)"
CGO_LDFLAGS += -O3 --rtlib=compiler-rt -unwindlib=libgcc -lhipblas -lrocblas --hip-link -L${ROCM_HOME}/lib/llvm/lib CGO_LDFLAGS += -O3 --rtlib=compiler-rt -unwindlib=libgcc -lhipblas -lrocblas --hip-link -L${ROCM_HOME}/lib/llvm/lib
endif endif
ifeq ($(BUILD_TYPE),metal) ifeq ($(BUILD_TYPE),metal)
CGO_LDFLAGS+=-framework Foundation -framework Metal -framework MetalKit -framework MetalPerformanceShaders CGO_LDFLAGS+=-framework Foundation -framework Metal -framework MetalKit -framework MetalPerformanceShaders
export LLAMA_METAL=1 export GGML_METAL=1
export WHISPER_METAL=1 export WHISPER_METAL=1
endif endif
@ -354,7 +354,7 @@ else
endif endif
dist-cross-linux-arm64: dist-cross-linux-arm64:
CMAKE_ARGS="$(CMAKE_ARGS) -DLLAMA_NATIVE=off" GRPC_BACKENDS="backend-assets/grpc/llama-cpp-fallback backend-assets/grpc/llama-cpp-grpc backend-assets/util/llama-cpp-rpc-server" \ CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_NATIVE=off" GRPC_BACKENDS="backend-assets/grpc/llama-cpp-fallback backend-assets/grpc/llama-cpp-grpc backend-assets/util/llama-cpp-rpc-server" \
STATIC=true $(MAKE) build STATIC=true $(MAKE) build
mkdir -p release mkdir -p release
# if BUILD_ID is empty, then we don't append it to the binary name # if BUILD_ID is empty, then we don't append it to the binary name
@ -711,21 +711,21 @@ backend-assets/grpc/llama-cpp-avx2: backend-assets/grpc
cp -rf backend/cpp/llama backend/cpp/llama-avx2 cp -rf backend/cpp/llama backend/cpp/llama-avx2
$(MAKE) -C backend/cpp/llama-avx2 purge $(MAKE) -C backend/cpp/llama-avx2 purge
$(info ${GREEN}I llama-cpp build info:avx2${RESET}) $(info ${GREEN}I llama-cpp build info:avx2${RESET})
CMAKE_ARGS="$(CMAKE_ARGS) -DLLAMA_AVX=on -DLLAMA_AVX2=on -DLLAMA_AVX512=off -DLLAMA_FMA=on -DLLAMA_F16C=on" $(MAKE) VARIANT="llama-avx2" build-llama-cpp-grpc-server CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=on -DGGML_AVX2=on -DGGML_AVX512=off -DGGML_FMA=on -DGGML_F16C=on" $(MAKE) VARIANT="llama-avx2" build-llama-cpp-grpc-server
cp -rfv backend/cpp/llama-avx2/grpc-server backend-assets/grpc/llama-cpp-avx2 cp -rfv backend/cpp/llama-avx2/grpc-server backend-assets/grpc/llama-cpp-avx2
backend-assets/grpc/llama-cpp-avx: backend-assets/grpc backend-assets/grpc/llama-cpp-avx: backend-assets/grpc
cp -rf backend/cpp/llama backend/cpp/llama-avx cp -rf backend/cpp/llama backend/cpp/llama-avx
$(MAKE) -C backend/cpp/llama-avx purge $(MAKE) -C backend/cpp/llama-avx purge
$(info ${GREEN}I llama-cpp build info:avx${RESET}) $(info ${GREEN}I llama-cpp build info:avx${RESET})
CMAKE_ARGS="$(CMAKE_ARGS) -DLLAMA_AVX=on -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_FMA=off -DLLAMA_F16C=off" $(MAKE) VARIANT="llama-avx" build-llama-cpp-grpc-server CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=on -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off" $(MAKE) VARIANT="llama-avx" build-llama-cpp-grpc-server
cp -rfv backend/cpp/llama-avx/grpc-server backend-assets/grpc/llama-cpp-avx cp -rfv backend/cpp/llama-avx/grpc-server backend-assets/grpc/llama-cpp-avx
backend-assets/grpc/llama-cpp-fallback: backend-assets/grpc backend-assets/grpc/llama-cpp-fallback: backend-assets/grpc
cp -rf backend/cpp/llama backend/cpp/llama-fallback cp -rf backend/cpp/llama backend/cpp/llama-fallback
$(MAKE) -C backend/cpp/llama-fallback purge $(MAKE) -C backend/cpp/llama-fallback purge
$(info ${GREEN}I llama-cpp build info:fallback${RESET}) $(info ${GREEN}I llama-cpp build info:fallback${RESET})
CMAKE_ARGS="$(CMAKE_ARGS) -DLLAMA_AVX=off -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_FMA=off -DLLAMA_F16C=off" $(MAKE) VARIANT="llama-fallback" build-llama-cpp-grpc-server CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=off -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off" $(MAKE) VARIANT="llama-fallback" build-llama-cpp-grpc-server
cp -rfv backend/cpp/llama-fallback/grpc-server backend-assets/grpc/llama-cpp-fallback cp -rfv backend/cpp/llama-fallback/grpc-server backend-assets/grpc/llama-cpp-fallback
# TODO: every binary should have its own folder instead, so can have different metal implementations # TODO: every binary should have its own folder instead, so can have different metal implementations
ifeq ($(BUILD_TYPE),metal) ifeq ($(BUILD_TYPE),metal)
@ -736,7 +736,7 @@ backend-assets/grpc/llama-cpp-cuda: backend-assets/grpc
cp -rf backend/cpp/llama backend/cpp/llama-cuda cp -rf backend/cpp/llama backend/cpp/llama-cuda
$(MAKE) -C backend/cpp/llama-cuda purge $(MAKE) -C backend/cpp/llama-cuda purge
$(info ${GREEN}I llama-cpp build info:cuda${RESET}) $(info ${GREEN}I llama-cpp build info:cuda${RESET})
CMAKE_ARGS="$(CMAKE_ARGS) -DLLAMA_AVX=on -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_FMA=off -DLLAMA_F16C=off -DLLAMA_CUDA=ON" $(MAKE) VARIANT="llama-cuda" build-llama-cpp-grpc-server CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=on -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off -DGGML_CUDA=ON" $(MAKE) VARIANT="llama-cuda" build-llama-cpp-grpc-server
cp -rfv backend/cpp/llama-cuda/grpc-server backend-assets/grpc/llama-cpp-cuda cp -rfv backend/cpp/llama-cuda/grpc-server backend-assets/grpc/llama-cpp-cuda
backend-assets/grpc/llama-cpp-hipblas: backend-assets/grpc backend-assets/grpc/llama-cpp-hipblas: backend-assets/grpc
@ -764,7 +764,7 @@ backend-assets/grpc/llama-cpp-grpc: backend-assets/grpc
cp -rf backend/cpp/llama backend/cpp/llama-grpc cp -rf backend/cpp/llama backend/cpp/llama-grpc
$(MAKE) -C backend/cpp/llama-grpc purge $(MAKE) -C backend/cpp/llama-grpc purge
$(info ${GREEN}I llama-cpp build info:grpc${RESET}) $(info ${GREEN}I llama-cpp build info:grpc${RESET})
CMAKE_ARGS="$(CMAKE_ARGS) -DLLAMA_RPC=ON -DLLAMA_AVX=off -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_FMA=off -DLLAMA_F16C=off" TARGET="--target grpc-server --target rpc-server" $(MAKE) VARIANT="llama-grpc" build-llama-cpp-grpc-server CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_RPC=ON -DGGML_AVX=off -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off" TARGET="--target grpc-server --target rpc-server" $(MAKE) VARIANT="llama-grpc" build-llama-cpp-grpc-server
cp -rfv backend/cpp/llama-grpc/grpc-server backend-assets/grpc/llama-cpp-grpc cp -rfv backend/cpp/llama-grpc/grpc-server backend-assets/grpc/llama-cpp-grpc
backend-assets/util/llama-cpp-rpc-server: backend-assets/grpc/llama-cpp-grpc backend-assets/util/llama-cpp-rpc-server: backend-assets/grpc/llama-cpp-grpc

29
backend/cpp/llama/Makefile
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@ -6,35 +6,42 @@ BUILD_TYPE?=
ONEAPI_VARS?=/opt/intel/oneapi/setvars.sh ONEAPI_VARS?=/opt/intel/oneapi/setvars.sh
TARGET?=--target grpc-server TARGET?=--target grpc-server
# If build type is cublas, then we set -DLLAMA_CUBLAS=ON to CMAKE_ARGS automatically # Disable Shared libs as we are linking on static gRPC and we can't mix shared and static
CMAKE_ARGS+=-DBUILD_SHARED_LIBS=OFF
# If build type is cublas, then we set -DGGML_CUDA=ON to CMAKE_ARGS automatically
ifeq ($(BUILD_TYPE),cublas) ifeq ($(BUILD_TYPE),cublas)
CMAKE_ARGS+=-DLLAMA_CUBLAS=ON CMAKE_ARGS+=-DGGML_CUDA=ON
# If build type is openblas then we set -DLLAMA_BLAS=ON -DLLAMA_BLAS_VENDOR=OpenBLAS # If build type is openblas then we set -DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
# to CMAKE_ARGS automatically # to CMAKE_ARGS automatically
else ifeq ($(BUILD_TYPE),openblas) else ifeq ($(BUILD_TYPE),openblas)
CMAKE_ARGS+=-DLLAMA_BLAS=ON -DLLAMA_BLAS_VENDOR=OpenBLAS CMAKE_ARGS+=-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
# If build type is clblas (openCL) we set -DLLAMA_CLBLAST=ON -DCLBlast_DIR=/some/path # If build type is clblas (openCL) we set -DGGML_CLBLAST=ON -DCLBlast_DIR=/some/path
else ifeq ($(BUILD_TYPE),clblas) else ifeq ($(BUILD_TYPE),clblas)
CMAKE_ARGS+=-DLLAMA_CLBLAST=ON -DCLBlast_DIR=/some/path CMAKE_ARGS+=-DGGML_CLBLAST=ON -DCLBlast_DIR=/some/path
# If it's hipblas we do have also to set CC=/opt/rocm/llvm/bin/clang CXX=/opt/rocm/llvm/bin/clang++ # If it's hipblas we do have also to set CC=/opt/rocm/llvm/bin/clang CXX=/opt/rocm/llvm/bin/clang++
else ifeq ($(BUILD_TYPE),hipblas) else ifeq ($(BUILD_TYPE),hipblas)
CMAKE_ARGS+=-DLLAMA_HIPBLAS=ON CMAKE_ARGS+=-DGGML_HIPBLAS=ON
# If it's OSX, DO NOT embed the metal library - -DLLAMA_METAL_EMBED_LIBRARY=ON requires further investigation # If it's OSX, DO NOT embed the metal library - -DGGML_METAL_EMBED_LIBRARY=ON requires further investigation
# But if it's OSX without metal, disable it here # But if it's OSX without metal, disable it here
else ifeq ($(OS),Darwin) else ifeq ($(OS),Darwin)
ifneq ($(BUILD_TYPE),metal) ifneq ($(BUILD_TYPE),metal)
CMAKE_ARGS+=-DLLAMA_METAL=OFF CMAKE_ARGS+=-DGGML_METAL=OFF
else else
CMAKE_ARGS+=-DGGML_METAL=ON
# Until this is tested properly, we disable embedded metal file
# as we already embed it as part of the LocalAI assets
CMAKE_ARGS+=-DGGML_METAL_EMBED_LIBRARY=OFF
TARGET+=--target ggml-metal TARGET+=--target ggml-metal
endif endif
endif endif
ifeq ($(BUILD_TYPE),sycl_f16) ifeq ($(BUILD_TYPE),sycl_f16)
CMAKE_ARGS+=-DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DLLAMA_SYCL_F16=ON CMAKE_ARGS+=-DGGML_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DGGML_SYCL_F16=ON
endif endif
ifeq ($(BUILD_TYPE),sycl_f32) ifeq ($(BUILD_TYPE),sycl_f32)
CMAKE_ARGS+=-DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx CMAKE_ARGS+=-DGGML_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx
endif endif
llama.cpp: llama.cpp:

2
docs/content/docs/advanced/fine-tuning.md
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@ -118,7 +118,7 @@ And we convert it to the gguf format that LocalAI can consume:
# Convert to gguf # Convert to gguf
git clone https://github.com/ggerganov/llama.cpp.git git clone https://github.com/ggerganov/llama.cpp.git
pushd llama.cpp && make LLAMA_CUBLAS=1 && popd pushd llama.cpp && make GGML_CUDA=1 && popd
# We need to convert the pytorch model into ggml for quantization # We need to convert the pytorch model into ggml for quantization
# It crates 'ggml-model-f16.bin' in the 'merged' directory. # It crates 'ggml-model-f16.bin' in the 'merged' directory.

2
docs/content/docs/faq.md
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@ -55,4 +55,4 @@ This typically happens when your prompt exceeds the context size. Try to reduce
### I'm getting a 'SIGILL' error, what's wrong? ### I'm getting a 'SIGILL' error, what's wrong?
Your CPU probably does not have support for certain instructions that are compiled by default in the pre-built binaries. If you are running in a container, try setting `REBUILD=true` and disable the CPU instructions that are not compatible with your CPU. For instance: `CMAKE_ARGS="-DLLAMA_F16C=OFF -DLLAMA_AVX512=OFF -DLLAMA_AVX2=OFF -DLLAMA_FMA=OFF" make build` Your CPU probably does not have support for certain instructions that are compiled by default in the pre-built binaries. If you are running in a container, try setting `REBUILD=true` and disable the CPU instructions that are not compatible with your CPU. For instance: `CMAKE_ARGS="-DGGML_F16C=OFF -DGGML_AVX512=OFF -DGGML_AVX2=OFF -DGGML_FMA=OFF" make build`

4
docs/content/docs/getting-started/build.md
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@ -101,14 +101,14 @@ Here is the list of the variables available that can be used to customize the bu
LocalAI uses different backends based on ggml and llama.cpp to run models. If your CPU doesn't support common instruction sets, you can disable them during build: LocalAI uses different backends based on ggml and llama.cpp to run models. If your CPU doesn't support common instruction sets, you can disable them during build:
``` ```
CMAKE_ARGS="-DLLAMA_F16C=OFF -DLLAMA_AVX512=OFF -DLLAMA_AVX2=OFF -DLLAMA_AVX=OFF -DLLAMA_FMA=OFF" make build CMAKE_ARGS="-DGGML_F16C=OFF -DGGML_AVX512=OFF -DGGML_AVX2=OFF -DGGML_AVX=OFF -DGGML_FMA=OFF" make build
``` ```
To have effect on the container image, you need to set `REBUILD=true`: To have effect on the container image, you need to set `REBUILD=true`:
``` ```
docker run quay.io/go-skynet/localai docker run quay.io/go-skynet/localai
docker run --rm -ti -p 8080:8080 -e DEBUG=true -e MODELS_PATH=/models -e THREADS=1 -e REBUILD=true -e CMAKE_ARGS="-DLLAMA_F16C=OFF -DLLAMA_AVX512=OFF -DLLAMA_AVX2=OFF -DLLAMA_AVX=OFF -DLLAMA_FMA=OFF" -v $PWD/models:/models quay.io/go-skynet/local-ai:latest docker run --rm -ti -p 8080:8080 -e DEBUG=true -e MODELS_PATH=/models -e THREADS=1 -e REBUILD=true -e CMAKE_ARGS="-DGGML_F16C=OFF -DGGML_AVX512=OFF -DGGML_AVX2=OFF -DGGML_AVX=OFF -DGGML_FMA=OFF" -v $PWD/models:/models quay.io/go-skynet/local-ai:latest
``` ```
{{% /alert %}} {{% /alert %}}

2
entrypoint.sh
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@ -22,7 +22,7 @@ else
echo "@@@@@" echo "@@@@@"
echo "If you are experiencing issues with the pre-compiled builds, try setting REBUILD=true" echo "If you are experiencing issues with the pre-compiled builds, try setting REBUILD=true"
echo "If you are still experiencing issues with the build, try setting CMAKE_ARGS and disable the instructions set as needed:" echo "If you are still experiencing issues with the build, try setting CMAKE_ARGS and disable the instructions set as needed:"
echo 'CMAKE_ARGS="-DLLAMA_F16C=OFF -DLLAMA_AVX512=OFF -DLLAMA_AVX2=OFF -DLLAMA_FMA=OFF"' echo 'CMAKE_ARGS="-DGGML_F16C=OFF -DGGML_AVX512=OFF -DGGML_AVX2=OFF -DGGML_FMA=OFF"'
echo "see the documentation at: https://localai.io/basics/build/index.html" echo "see the documentation at: https://localai.io/basics/build/index.html"
echo "Note: See also https://github.com/go-skynet/LocalAI/issues/288" echo "Note: See also https://github.com/go-skynet/LocalAI/issues/288"
echo "@@@@@" echo "@@@@@"

2
examples/e2e-fine-tuning/README.md
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@ -65,7 +65,7 @@ And we convert it to the gguf format that LocalAI can consume:
# Convert to gguf # Convert to gguf
git clone https://github.com/ggerganov/llama.cpp.git git clone https://github.com/ggerganov/llama.cpp.git
pushd llama.cpp && make LLAMA_CUBLAS=1 && popd pushd llama.cpp && make GGML_CUDA=1 && popd
# We need to convert the pytorch model into ggml for quantization # We need to convert the pytorch model into ggml for quantization
# It crates 'ggml-model-f16.bin' in the 'merged' directory. # It crates 'ggml-model-f16.bin' in the 'merged' directory.

2
examples/e2e-fine-tuning/notebook.ipynb
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@ -1600,7 +1600,7 @@
"source": [ "source": [
"\n", "\n",
"!git clone https://github.com/ggerganov/llama.cpp.git\n", "!git clone https://github.com/ggerganov/llama.cpp.git\n",
"!cd llama.cpp && make LLAMA_CUBLAS=1\n", "!cd llama.cpp && make GGML_CUDA=1\n",
"\n" "\n"
] ]
}, },