mirror of
https://github.com/mudler/LocalAI.git
synced 2025-05-28 06:25:00 +00:00
Merge branch 'master' into enable_gpu
This commit is contained in:
Ettore Di Giacinto
GitHub
commit
ea4ade6b60
33 changed files with 27190 additions and 1066 deletions
5
.env
5
.env
|
|
@ -66,4 +66,7 @@ MODELS_PATH=/models
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|||
### Python backends GRPC max workers
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### Default number of workers for GRPC Python backends.
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### This actually controls wether a backend can process multiple requests or not.
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# PYTHON_GRPC_MAX_WORKERS=1
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# PYTHON_GRPC_MAX_WORKERS=1
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### Define the number of parallel LLAMA.cpp workers (Defaults to 1)
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# LLAMACPP_PARALLEL=1
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25
.github/workflows/test.yml
vendored
25
.github/workflows/test.yml
vendored
|
|
@ -80,24 +80,13 @@ jobs:
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|||
sudo rm -rfv /usr/bin/conda || true
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PATH=$PATH:/opt/conda/bin make -C extra/grpc/huggingface
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|
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# Pre-build stable diffusion before we install a newever version of abseil (not compatible with stablediffusion-ncn)
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GO_TAGS="tts stablediffusion" GRPC_BACKENDS=backend-assets/grpc/stablediffusion make build
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# Pre-build piper before we start tests in order to have shared libraries in place
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make go-piper && \
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GO_TAGS="tts" make -C go-piper piper.o && \
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sudo cp -rfv go-piper/piper/build/pi/lib/. /usr/lib/ && \
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|
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sudo mkdir /build && sudo chmod -R 777 /build && cd /build && \
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curl -L "https://github.com/gabime/spdlog/archive/refs/tags/v1.11.0.tar.gz" | \
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tar -xzvf - && \
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mkdir -p "spdlog-1.11.0/build" && \
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cd "spdlog-1.11.0/build" && \
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cmake .. && \
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make -j8 && \
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sudo cmake --install . --prefix /usr && mkdir -p "lib/Linux-$(uname -m)" && \
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cd /build && \
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mkdir -p "lib/Linux-$(uname -m)/piper_phonemize" && \
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curl -L "https://github.com/rhasspy/piper-phonemize/releases/download/v1.0.0/libpiper_phonemize-amd64.tar.gz" | \
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tar -C "lib/Linux-$(uname -m)/piper_phonemize" -xzvf - && ls -liah /build/lib/Linux-$(uname -m)/piper_phonemize/ && \
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sudo cp -rfv /build/lib/Linux-$(uname -m)/piper_phonemize/lib/. /usr/lib/ && \
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sudo ln -s /usr/lib/libpiper_phonemize.so /usr/lib/libpiper_phonemize.so.1 && \
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sudo cp -rfv /build/lib/Linux-$(uname -m)/piper_phonemize/include/. /usr/include/
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# Pre-build stable diffusion before we install a newer version of abseil (not compatible with stablediffusion-ncn)
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GO_TAGS="stablediffusion tts" GRPC_BACKENDS=backend-assets/grpc/stablediffusion make build
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git clone --recurse-submodules -b v1.58.0 --depth 1 --shallow-submodules https://github.com/grpc/grpc && \
|
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cd grpc && mkdir -p cmake/build && cd cmake/build && cmake -DgRPC_INSTALL=ON \
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|
|
@ -105,7 +94,7 @@ jobs:
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../.. && sudo make -j12 install
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- name: Test
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run: |
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ESPEAK_DATA="/build/lib/Linux-$(uname -m)/piper_phonemize/lib/espeak-ng-data" GO_TAGS="tts stablediffusion" make test
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GO_TAGS="stablediffusion tts" make test
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|
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tests-apple:
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runs-on: macOS-latest
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|
|
|
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26
Dockerfile
26
Dockerfile
|
|
@ -8,8 +8,6 @@ FROM golang:$GO_VERSION as requirements-core
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ARG BUILD_TYPE
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ARG CUDA_MAJOR_VERSION=11
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ARG CUDA_MINOR_VERSION=7
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ARG SPDLOG_VERSION="1.11.0"
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ARG PIPER_PHONEMIZE_VERSION='1.0.0'
|
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ARG TARGETARCH
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ARG TARGETVARIANT
|
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|
||||
|
|
@ -52,28 +50,9 @@ RUN ln -s /usr/include/opencv4/opencv2 /usr/include/opencv2
|
|||
|
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WORKDIR /build
|
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|
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# piper requirements
|
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# Use pre-compiled Piper phonemization library (includes onnxruntime)
|
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#RUN if echo "${GO_TAGS}" | grep -q "tts"; then \
|
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RUN test -n "$TARGETARCH" \
|
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|| (echo 'warn: missing $TARGETARCH, either set this `ARG` manually, or run using `docker buildkit`')
|
||||
|
||||
RUN curl -L "https://github.com/gabime/spdlog/archive/refs/tags/v${SPDLOG_VERSION}.tar.gz" | \
|
||||
tar -xzvf - && \
|
||||
mkdir -p "spdlog-${SPDLOG_VERSION}/build" && \
|
||||
cd "spdlog-${SPDLOG_VERSION}/build" && \
|
||||
cmake .. && \
|
||||
make -j8 && \
|
||||
cmake --install . --prefix /usr && mkdir -p "lib/Linux-$(uname -m)" && \
|
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cd /build && \
|
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mkdir -p "lib/Linux-$(uname -m)/piper_phonemize" && \
|
||||
curl -L "https://github.com/rhasspy/piper-phonemize/releases/download/v${PIPER_PHONEMIZE_VERSION}/libpiper_phonemize-${TARGETARCH:-$(go env GOARCH)}${TARGETVARIANT}.tar.gz" | \
|
||||
tar -C "lib/Linux-$(uname -m)/piper_phonemize" -xzvf - && ls -liah /build/lib/Linux-$(uname -m)/piper_phonemize/ && \
|
||||
cp -rfv /build/lib/Linux-$(uname -m)/piper_phonemize/lib/. /usr/lib/ && \
|
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ln -s /usr/lib/libpiper_phonemize.so /usr/lib/libpiper_phonemize.so.1 && \
|
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cp -rfv /build/lib/Linux-$(uname -m)/piper_phonemize/include/. /usr/include/ && \
|
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rm spdlog-${SPDLOG_VERSION} -rf
|
||||
|
||||
# Extras requirements
|
||||
FROM requirements-core as requirements-extras
|
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|
||||
|
|
@ -137,7 +116,7 @@ RUN if [ "${BUILD_GRPC}" = "true" ]; then \
|
|||
; fi
|
||||
|
||||
# Rebuild with defaults backends
|
||||
RUN ESPEAK_DATA=/build/lib/Linux-$(uname -m)/piper_phonemize/lib/espeak-ng-data make build
|
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RUN make build
|
||||
|
||||
###################################
|
||||
###################################
|
||||
|
|
@ -175,6 +154,9 @@ RUN make prepare-sources
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|||
# Copy the binary
|
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COPY --from=builder /build/local-ai ./
|
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|
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# Copy shared libraries for piper
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COPY --from=builder /build/go-piper/piper/build/pi/lib/* /usr/lib/
|
||||
|
||||
# do not let stablediffusion rebuild (requires an older version of absl)
|
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COPY --from=builder /build/backend-assets/grpc/stablediffusion ./backend-assets/grpc/stablediffusion
|
||||
|
||||
|
|
|
|||
19
Makefile
19
Makefile
|
|
@ -8,7 +8,7 @@ GOLLAMA_VERSION?=aeba71ee842819da681ea537e78846dc75949ac0
|
|||
|
||||
GOLLAMA_STABLE_VERSION?=50cee7712066d9e38306eccadcfbb44ea87df4b7
|
||||
|
||||
CPPLLAMA_VERSION?=629f917cd6b96ba1274c49a8aab163b1b189229d
|
||||
CPPLLAMA_VERSION?=a75fa576abba9d37f463580c379e4bbf1e1ad03c
|
||||
|
||||
# gpt4all version
|
||||
GPT4ALL_REPO?=https://github.com/nomic-ai/gpt4all
|
||||
|
|
@ -28,7 +28,7 @@ WHISPER_CPP_VERSION?=85ed71aaec8e0612a84c0b67804bde75aa75a273
|
|||
BERT_VERSION?=6abe312cded14042f6b7c3cd8edf082713334a4d
|
||||
|
||||
# go-piper version
|
||||
PIPER_VERSION?=56b8a81b4760a6fbee1a82e62f007ae7e8f010a7
|
||||
PIPER_VERSION?=736f6fb639ab8e3397356e48eeb6bdcb9da88a78
|
||||
|
||||
# stablediffusion version
|
||||
STABLEDIFFUSION_VERSION?=d89260f598afb809279bc72aa0107b4292587632
|
||||
|
|
@ -52,7 +52,6 @@ override LD_FLAGS += -X "github.com/go-skynet/LocalAI/internal.Version=$(VERSION
|
|||
override LD_FLAGS += -X "github.com/go-skynet/LocalAI/internal.Commit=$(shell git rev-parse HEAD)"
|
||||
|
||||
OPTIONAL_TARGETS?=
|
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ESPEAK_DATA?=
|
||||
|
||||
OS := $(shell uname -s)
|
||||
ARCH := $(shell uname -m)
|
||||
|
|
@ -120,6 +119,8 @@ endif
|
|||
ifeq ($(findstring tts,$(GO_TAGS)),tts)
|
||||
# OPTIONAL_TARGETS+=go-piper/libpiper_binding.a
|
||||
# OPTIONAL_TARGETS+=backend-assets/espeak-ng-data
|
||||
PIPER_CGO_CXXFLAGS+=-I$(shell pwd)/go-piper/piper/src/cpp -I$(shell pwd)/go-piper/piper/build/fi/include -I$(shell pwd)/go-piper/piper/build/pi/include -I$(shell pwd)/go-piper/piper/build/si/include
|
||||
PIPER_CGO_LDFLAGS+=-L$(shell pwd)/go-piper/piper/build/fi/lib -L$(shell pwd)/go-piper/piper/build/pi/lib -L$(shell pwd)/go-piper/piper/build/si/lib -lfmt -lspdlog
|
||||
OPTIONAL_GRPC+=backend-assets/grpc/piper
|
||||
endif
|
||||
|
||||
|
|
@ -175,14 +176,10 @@ backend-assets/gpt4all: gpt4all/gpt4all-bindings/golang/libgpt4all.a
|
|||
@cp gpt4all/gpt4all-bindings/golang/buildllm/*.dylib backend-assets/gpt4all/ || true
|
||||
@cp gpt4all/gpt4all-bindings/golang/buildllm/*.dll backend-assets/gpt4all/ || true
|
||||
|
||||
backend-assets/espeak-ng-data:
|
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backend-assets/espeak-ng-data: go-piper
|
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mkdir -p backend-assets/espeak-ng-data
|
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ifdef ESPEAK_DATA
|
||||
@cp -rf $(ESPEAK_DATA)/. backend-assets/espeak-ng-data
|
||||
else
|
||||
@echo "ESPEAK_DATA not set, skipping tts. Note that this will break the tts functionality."
|
||||
@touch backend-assets/espeak-ng-data/keep
|
||||
endif
|
||||
$(MAKE) -C go-piper piper.o
|
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@cp -rf go-piper/piper/build/pi/share/espeak-ng-data/. backend-assets/espeak-ng-data
|
||||
|
||||
gpt4all/gpt4all-bindings/golang/libgpt4all.a: gpt4all
|
||||
$(MAKE) -C gpt4all/gpt4all-bindings/golang/ libgpt4all.a
|
||||
|
|
@ -503,7 +500,7 @@ backend-assets/grpc/stablediffusion: backend-assets/grpc
|
|||
fi
|
||||
|
||||
backend-assets/grpc/piper: backend-assets/grpc backend-assets/espeak-ng-data go-piper/libpiper_binding.a
|
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CGO_LDFLAGS="$(CGO_LDFLAGS)" LIBRARY_PATH=$(shell pwd)/go-piper \
|
||||
CGO_CXXFLAGS="$(PIPER_CGO_CXXFLAGS)" CGO_LDFLAGS="$(PIPER_CGO_LDFLAGS)" LIBRARY_PATH=$(shell pwd)/go-piper \
|
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$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/piper ./cmd/grpc/piper/
|
||||
|
||||
backend-assets/grpc/whisper: backend-assets/grpc whisper.cpp/libwhisper.a
|
||||
|
|
|
|||
|
|
@ -21,6 +21,7 @@ func ImageGeneration(height, width, mode, step, seed int, positive_prompt, negat
|
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PipelineType: c.Diffusers.PipelineType,
|
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CFGScale: c.Diffusers.CFGScale,
|
||||
LoraAdapter: c.LoraAdapter,
|
||||
LoraScale: c.LoraScale,
|
||||
LoraBase: c.LoraBase,
|
||||
IMG2IMG: c.Diffusers.IMG2IMG,
|
||||
CLIPModel: c.Diffusers.ClipModel,
|
||||
|
|
|
|||
|
|
@ -26,7 +26,7 @@ type TokenUsage struct {
|
|||
Completion int
|
||||
}
|
||||
|
||||
func ModelInference(ctx context.Context, s string, loader *model.ModelLoader, c config.Config, o *options.Option, tokenCallback func(string, TokenUsage) bool) (func() (LLMResponse, error), error) {
|
||||
func ModelInference(ctx context.Context, s string, images []string, loader *model.ModelLoader, c config.Config, o *options.Option, tokenCallback func(string, TokenUsage) bool) (func() (LLMResponse, error), error) {
|
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modelFile := c.Model
|
||||
|
||||
grpcOpts := gRPCModelOpts(c)
|
||||
|
|
@ -72,6 +72,7 @@ func ModelInference(ctx context.Context, s string, loader *model.ModelLoader, c
|
|||
fn := func() (LLMResponse, error) {
|
||||
opts := gRPCPredictOpts(c, loader.ModelPath)
|
||||
opts.Prompt = s
|
||||
opts.Images = images
|
||||
|
||||
tokenUsage := TokenUsage{}
|
||||
|
||||
|
|
|
|||
|
|
@ -38,29 +38,35 @@ func gRPCModelOpts(c config.Config) *pb.ModelOptions {
|
|||
}
|
||||
|
||||
return &pb.ModelOptions{
|
||||
ContextSize: int32(c.ContextSize),
|
||||
Seed: int32(c.Seed),
|
||||
NBatch: int32(b),
|
||||
NoMulMatQ: c.NoMulMatQ,
|
||||
DraftModel: c.DraftModel,
|
||||
AudioPath: c.VallE.AudioPath,
|
||||
Quantization: c.Quantization,
|
||||
LoraAdapter: c.LoraAdapter,
|
||||
LoraBase: c.LoraBase,
|
||||
NGQA: c.NGQA,
|
||||
RMSNormEps: c.RMSNormEps,
|
||||
F16Memory: c.F16,
|
||||
MLock: c.MMlock,
|
||||
RopeFreqBase: c.RopeFreqBase,
|
||||
RopeFreqScale: c.RopeFreqScale,
|
||||
NUMA: c.NUMA,
|
||||
Embeddings: c.Embeddings,
|
||||
LowVRAM: c.LowVRAM,
|
||||
NGPULayers: int32(c.NGPULayers),
|
||||
MMap: c.MMap,
|
||||
MainGPU: c.MainGPU,
|
||||
Threads: int32(c.Threads),
|
||||
TensorSplit: c.TensorSplit,
|
||||
ContextSize: int32(c.ContextSize),
|
||||
Seed: int32(c.Seed),
|
||||
NBatch: int32(b),
|
||||
NoMulMatQ: c.NoMulMatQ,
|
||||
DraftModel: c.DraftModel,
|
||||
AudioPath: c.VallE.AudioPath,
|
||||
Quantization: c.Quantization,
|
||||
MMProj: c.MMProj,
|
||||
YarnExtFactor: c.YarnExtFactor,
|
||||
YarnAttnFactor: c.YarnAttnFactor,
|
||||
YarnBetaFast: c.YarnBetaFast,
|
||||
YarnBetaSlow: c.YarnBetaSlow,
|
||||
LoraAdapter: c.LoraAdapter,
|
||||
LoraBase: c.LoraBase,
|
||||
LoraScale: c.LoraScale,
|
||||
NGQA: c.NGQA,
|
||||
RMSNormEps: c.RMSNormEps,
|
||||
F16Memory: c.F16,
|
||||
MLock: c.MMlock,
|
||||
RopeFreqBase: c.RopeFreqBase,
|
||||
RopeFreqScale: c.RopeFreqScale,
|
||||
NUMA: c.NUMA,
|
||||
Embeddings: c.Embeddings,
|
||||
LowVRAM: c.LowVRAM,
|
||||
NGPULayers: int32(c.NGPULayers),
|
||||
MMap: c.MMap,
|
||||
MainGPU: c.MainGPU,
|
||||
Threads: int32(c.Threads),
|
||||
TensorSplit: c.TensorSplit,
|
||||
// AutoGPTQ
|
||||
ModelBaseName: c.AutoGPTQ.ModelBaseName,
|
||||
Device: c.AutoGPTQ.Device,
|
||||
|
|
|
|||
|
|
@ -100,10 +100,18 @@ type LLMConfig struct {
|
|||
NUMA bool `yaml:"numa"`
|
||||
LoraAdapter string `yaml:"lora_adapter"`
|
||||
LoraBase string `yaml:"lora_base"`
|
||||
LoraScale float32 `yaml:"lora_scale"`
|
||||
NoMulMatQ bool `yaml:"no_mulmatq"`
|
||||
DraftModel string `yaml:"draft_model"`
|
||||
NDraft int32 `yaml:"n_draft"`
|
||||
Quantization string `yaml:"quantization"`
|
||||
MMProj string `yaml:"mmproj"`
|
||||
|
||||
RopeScaling string `yaml:"rope_scaling"`
|
||||
YarnExtFactor float32 `yaml:"yarn_ext_factor"`
|
||||
YarnAttnFactor float32 `yaml:"yarn_attn_factor"`
|
||||
YarnBetaFast float32 `yaml:"yarn_beta_fast"`
|
||||
YarnBetaSlow float32 `yaml:"yarn_beta_slow"`
|
||||
}
|
||||
|
||||
type AutoGPTQ struct {
|
||||
|
|
|
|||
|
|
@ -81,6 +81,10 @@ func ChatEndpoint(cm *config.ConfigLoader, o *options.Option) func(c *fiber.Ctx)
|
|||
noActionDescription = config.FunctionsConfig.NoActionDescriptionName
|
||||
}
|
||||
|
||||
if input.ResponseFormat == "json_object" {
|
||||
input.Grammar = grammar.JSONBNF
|
||||
}
|
||||
|
||||
// process functions if we have any defined or if we have a function call string
|
||||
if len(input.Functions) > 0 && config.ShouldUseFunctions() {
|
||||
log.Debug().Msgf("Response needs to process functions")
|
||||
|
|
@ -140,14 +144,14 @@ func ChatEndpoint(cm *config.ConfigLoader, o *options.Option) func(c *fiber.Ctx)
|
|||
}
|
||||
}
|
||||
r := config.Roles[role]
|
||||
contentExists := i.Content != nil && *i.Content != ""
|
||||
contentExists := i.Content != nil && i.StringContent != ""
|
||||
// First attempt to populate content via a chat message specific template
|
||||
if config.TemplateConfig.ChatMessage != "" {
|
||||
chatMessageData := model.ChatMessageTemplateData{
|
||||
SystemPrompt: config.SystemPrompt,
|
||||
Role: r,
|
||||
RoleName: role,
|
||||
Content: *i.Content,
|
||||
Content: i.StringContent,
|
||||
MessageIndex: messageIndex,
|
||||
}
|
||||
templatedChatMessage, err := o.Loader.EvaluateTemplateForChatMessage(config.TemplateConfig.ChatMessage, chatMessageData)
|
||||
|
|
@ -166,7 +170,7 @@ func ChatEndpoint(cm *config.ConfigLoader, o *options.Option) func(c *fiber.Ctx)
|
|||
if content == "" {
|
||||
if r != "" {
|
||||
if contentExists {
|
||||
content = fmt.Sprint(r, " ", *i.Content)
|
||||
content = fmt.Sprint(r, i.StringContent)
|
||||
}
|
||||
if i.FunctionCall != nil {
|
||||
j, err := json.Marshal(i.FunctionCall)
|
||||
|
|
@ -180,7 +184,7 @@ func ChatEndpoint(cm *config.ConfigLoader, o *options.Option) func(c *fiber.Ctx)
|
|||
}
|
||||
} else {
|
||||
if contentExists {
|
||||
content = fmt.Sprint(*i.Content)
|
||||
content = fmt.Sprint(i.StringContent)
|
||||
}
|
||||
if i.FunctionCall != nil {
|
||||
j, err := json.Marshal(i.FunctionCall)
|
||||
|
|
@ -334,7 +338,11 @@ func ChatEndpoint(cm *config.ConfigLoader, o *options.Option) func(c *fiber.Ctx)
|
|||
// Otherwise ask the LLM to understand the JSON output and the context, and return a message
|
||||
// Note: This costs (in term of CPU) another computation
|
||||
config.Grammar = ""
|
||||
predFunc, err := backend.ModelInference(input.Context, predInput, o.Loader, *config, o, nil)
|
||||
images := []string{}
|
||||
for _, m := range input.Messages {
|
||||
images = append(images, m.StringImages...)
|
||||
}
|
||||
predFunc, err := backend.ModelInference(input.Context, predInput, images, o.Loader, *config, o, nil)
|
||||
if err != nil {
|
||||
log.Error().Msgf("inference error: %s", err.Error())
|
||||
return
|
||||
|
|
|
|||
|
|
@ -12,6 +12,7 @@ import (
|
|||
config "github.com/go-skynet/LocalAI/api/config"
|
||||
"github.com/go-skynet/LocalAI/api/options"
|
||||
"github.com/go-skynet/LocalAI/api/schema"
|
||||
"github.com/go-skynet/LocalAI/pkg/grammar"
|
||||
model "github.com/go-skynet/LocalAI/pkg/model"
|
||||
"github.com/gofiber/fiber/v2"
|
||||
"github.com/google/uuid"
|
||||
|
|
@ -64,6 +65,10 @@ func CompletionEndpoint(cm *config.ConfigLoader, o *options.Option) func(c *fibe
|
|||
return fmt.Errorf("failed reading parameters from request:%w", err)
|
||||
}
|
||||
|
||||
if input.ResponseFormat == "json_object" {
|
||||
input.Grammar = grammar.JSONBNF
|
||||
}
|
||||
|
||||
log.Debug().Msgf("Parameter Config: %+v", config)
|
||||
|
||||
if input.Stream {
|
||||
|
|
|
|||
|
|
@ -23,8 +23,13 @@ func ComputeChoices(
|
|||
n = 1
|
||||
}
|
||||
|
||||
images := []string{}
|
||||
for _, m := range req.Messages {
|
||||
images = append(images, m.StringImages...)
|
||||
}
|
||||
|
||||
// get the model function to call for the result
|
||||
predFunc, err := backend.ModelInference(req.Context, predInput, loader, *config, o, tokenCallback)
|
||||
predFunc, err := backend.ModelInference(req.Context, predInput, images, loader, *config, o, tokenCallback)
|
||||
if err != nil {
|
||||
return result, backend.TokenUsage{}, err
|
||||
}
|
||||
|
|
|
|||
|
|
@ -2,8 +2,11 @@ package openai
|
|||
|
||||
import (
|
||||
"context"
|
||||
"encoding/base64"
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
"io/ioutil"
|
||||
"net/http"
|
||||
"os"
|
||||
"path/filepath"
|
||||
"strings"
|
||||
|
|
@ -24,7 +27,7 @@ func readInput(c *fiber.Ctx, o *options.Option, randomModel bool) (string, *sche
|
|||
input.Cancel = cancel
|
||||
// Get input data from the request body
|
||||
if err := c.BodyParser(input); err != nil {
|
||||
return "", nil, err
|
||||
return "", nil, fmt.Errorf("failed parsing request body: %w", err)
|
||||
}
|
||||
|
||||
modelFile := input.Model
|
||||
|
|
@ -61,6 +64,37 @@ func readInput(c *fiber.Ctx, o *options.Option, randomModel bool) (string, *sche
|
|||
return modelFile, input, nil
|
||||
}
|
||||
|
||||
// this function check if the string is an URL, if it's an URL downloads the image in memory
|
||||
// encodes it in base64 and returns the base64 string
|
||||
func getBase64Image(s string) (string, error) {
|
||||
if strings.HasPrefix(s, "http") {
|
||||
// download the image
|
||||
resp, err := http.Get(s)
|
||||
if err != nil {
|
||||
return "", err
|
||||
}
|
||||
defer resp.Body.Close()
|
||||
|
||||
// read the image data into memory
|
||||
data, err := ioutil.ReadAll(resp.Body)
|
||||
if err != nil {
|
||||
return "", err
|
||||
}
|
||||
|
||||
// encode the image data in base64
|
||||
encoded := base64.StdEncoding.EncodeToString(data)
|
||||
|
||||
// return the base64 string
|
||||
return encoded, nil
|
||||
}
|
||||
|
||||
// if the string instead is prefixed with "data:image/jpeg;base64,", drop it
|
||||
if strings.HasPrefix(s, "data:image/jpeg;base64,") {
|
||||
return strings.ReplaceAll(s, "data:image/jpeg;base64,", ""), nil
|
||||
}
|
||||
return "", fmt.Errorf("not valid string")
|
||||
}
|
||||
|
||||
func updateConfig(config *config.Config, input *schema.OpenAIRequest) {
|
||||
if input.Echo {
|
||||
config.Echo = input.Echo
|
||||
|
|
@ -129,6 +163,35 @@ func updateConfig(config *config.Config, input *schema.OpenAIRequest) {
|
|||
}
|
||||
}
|
||||
|
||||
// Decode each request's message content
|
||||
index := 0
|
||||
for i, m := range input.Messages {
|
||||
switch content := m.Content.(type) {
|
||||
case string:
|
||||
input.Messages[i].StringContent = content
|
||||
case []interface{}:
|
||||
dat, _ := json.Marshal(content)
|
||||
c := []schema.Content{}
|
||||
json.Unmarshal(dat, &c)
|
||||
for _, pp := range c {
|
||||
if pp.Type == "text" {
|
||||
input.Messages[i].StringContent = pp.Text
|
||||
} else if pp.Type == "image_url" {
|
||||
// Detect if pp.ImageURL is an URL, if it is download the image and encode it in base64:
|
||||
base64, err := getBase64Image(pp.ImageURL.URL)
|
||||
if err == nil {
|
||||
input.Messages[i].StringImages = append(input.Messages[i].StringImages, base64) // TODO: make sure that we only return base64 stuff
|
||||
// set a placeholder for each image
|
||||
input.Messages[i].StringContent = fmt.Sprintf("[img-%d]", index) + input.Messages[i].StringContent
|
||||
index++
|
||||
} else {
|
||||
fmt.Print("Failed encoding image", err)
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if input.RepeatPenalty != 0 {
|
||||
config.RepeatPenalty = input.RepeatPenalty
|
||||
}
|
||||
|
|
|
|||
|
|
@ -55,11 +55,25 @@ type Choice struct {
|
|||
Text string `json:"text,omitempty"`
|
||||
}
|
||||
|
||||
type Content struct {
|
||||
Type string `json:"type" yaml:"type"`
|
||||
Text string `json:"text" yaml:"text"`
|
||||
ImageURL ContentURL `json:"image_url" yaml:"image_url"`
|
||||
}
|
||||
|
||||
type ContentURL struct {
|
||||
URL string `json:"url" yaml:"url"`
|
||||
}
|
||||
|
||||
type Message struct {
|
||||
// The message role
|
||||
Role string `json:"role,omitempty" yaml:"role"`
|
||||
// The message content
|
||||
Content *string `json:"content" yaml:"content"`
|
||||
Content interface{} `json:"content" yaml:"content"`
|
||||
|
||||
StringContent string `json:"string_content,omitempty" yaml:"string_content,omitempty"`
|
||||
StringImages []string `json:"string_images,omitempty" yaml:"string_images,omitempty"`
|
||||
|
||||
// A result of a function call
|
||||
FunctionCall interface{} `json:"function_call,omitempty" yaml:"function_call,omitempty"`
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1,9 +1,22 @@
|
|||
|
||||
## XXX: In some versions of CMake clip wasn't being built before llama.
|
||||
## This is an hack for now, but it should be fixed in the future.
|
||||
set(TARGET myclip)
|
||||
add_library(${TARGET} clip.cpp clip.h)
|
||||
install(TARGETS ${TARGET} LIBRARY)
|
||||
target_link_libraries(${TARGET} PRIVATE common ggml ${CMAKE_THREAD_LIBS_INIT})
|
||||
target_compile_features(${TARGET} PRIVATE cxx_std_11)
|
||||
if (NOT MSVC)
|
||||
target_compile_options(${TARGET} PRIVATE -Wno-cast-qual) # stb_image.h
|
||||
endif()
|
||||
|
||||
set(TARGET grpc-server)
|
||||
# END CLIP hack
|
||||
set(CMAKE_CXX_STANDARD 17)
|
||||
cmake_minimum_required(VERSION 3.15)
|
||||
set(TARGET grpc-server)
|
||||
set(_PROTOBUF_LIBPROTOBUF libprotobuf)
|
||||
set(_REFLECTION grpc++_reflection)
|
||||
|
||||
if (${CMAKE_SYSTEM_NAME} MATCHES "Darwin")
|
||||
link_directories("/opt/homebrew/lib")
|
||||
include_directories("/opt/homebrew/include")
|
||||
|
|
@ -47,10 +60,10 @@ add_library(hw_grpc_proto
|
|||
${hw_grpc_srcs}
|
||||
${hw_grpc_hdrs}
|
||||
${hw_proto_srcs}
|
||||
${hw_proto_hdrs})
|
||||
${hw_proto_hdrs} )
|
||||
|
||||
add_executable(${TARGET} grpc-server.cpp)
|
||||
target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT} absl::flags hw_grpc_proto
|
||||
add_executable(${TARGET} grpc-server.cpp json.hpp )
|
||||
target_link_libraries(${TARGET} PRIVATE common llama myclip ${CMAKE_THREAD_LIBS_INIT} absl::flags hw_grpc_proto
|
||||
absl::flags_parse
|
||||
gRPC::${_REFLECTION}
|
||||
gRPC::${_GRPC_GRPCPP}
|
||||
|
|
|
|||
|
|
@ -1,5 +1,5 @@
|
|||
|
||||
LLAMA_VERSION?=
|
||||
LLAMA_VERSION?=d9b33fe95bd257b36c84ee5769cc048230067d6f
|
||||
|
||||
CMAKE_ARGS?=
|
||||
BUILD_TYPE?=
|
||||
|
|
@ -27,11 +27,17 @@ llama.cpp/examples/grpc-server:
|
|||
mkdir -p llama.cpp/examples/grpc-server
|
||||
cp -r $(abspath ./)/CMakeLists.txt llama.cpp/examples/grpc-server/
|
||||
cp -r $(abspath ./)/grpc-server.cpp llama.cpp/examples/grpc-server/
|
||||
cp -rfv $(abspath ./)/json.hpp llama.cpp/examples/grpc-server/
|
||||
echo "add_subdirectory(grpc-server)" >> llama.cpp/examples/CMakeLists.txt
|
||||
## XXX: In some versions of CMake clip wasn't being built before llama.
|
||||
## This is an hack for now, but it should be fixed in the future.
|
||||
cp -rfv llama.cpp/examples/llava/clip.h llama.cpp/examples/grpc-server/clip.h
|
||||
cp -rfv llama.cpp/examples/llava/clip.cpp llama.cpp/examples/grpc-server/clip.cpp
|
||||
|
||||
rebuild:
|
||||
cp -rfv $(abspath ./)/CMakeLists.txt llama.cpp/examples/grpc-server/
|
||||
cp -rfv $(abspath ./)/grpc-server.cpp llama.cpp/examples/grpc-server/
|
||||
cp -rfv $(abspath ./)/json.hpp llama.cpp/examples/grpc-server/
|
||||
rm -rf grpc-server
|
||||
$(MAKE) grpc-server
|
||||
|
||||
|
|
|
|||
File diff suppressed because it is too large
Load diff
24596
backend/cpp/llama/json.hpp
Normal file
24596
backend/cpp/llama/json.hpp
Normal file
File diff suppressed because it is too large
Load diff
|
|
@ -5,7 +5,7 @@ cd /build
|
|||
|
||||
if [ "$REBUILD" != "false" ]; then
|
||||
rm -rf ./local-ai
|
||||
ESPEAK_DATA=/build/lib/Linux-$(uname -m)/piper_phonemize/lib/espeak-ng-data make build -j${BUILD_PARALLELISM:-1}
|
||||
make build -j${BUILD_PARALLELISM:-1}
|
||||
else
|
||||
echo "@@@@@"
|
||||
echo "Skipping rebuild"
|
||||
|
|
|
|||
18
examples/configurations/llava/README.md
Normal file
18
examples/configurations/llava/README.md
Normal file
|
|
@ -0,0 +1,18 @@
|
|||
|
||||
|
||||
## Setup
|
||||
|
||||
```
|
||||
mkdir models
|
||||
wget https://huggingface.co/mys/ggml_bakllava-1/resolve/main/ggml-model-q4_k.gguf -O models/ggml-model-q4_k.gguf
|
||||
wget https://huggingface.co/mys/ggml_bakllava-1/resolve/main/mmproj-model-f16.gguf -O models/mmproj-model-f16.gguf
|
||||
docker run -p 8080:8080 -v $PWD/models:/models -ti --rm quay.io/go-skynet/local-ai:master --models-path /models --threads 4
|
||||
```
|
||||
|
||||
## Try it out
|
||||
|
||||
```
|
||||
curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{
|
||||
"model": "llava",
|
||||
"messages": [{"role": "user", "content": [{"type":"text", "text": "What is in the image?"}, {"type": "image_url", "image_url": {"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" }}], "temperature": 0.9}]}'
|
||||
```
|
||||
3
examples/configurations/llava/chat-simple.tmpl
Normal file
3
examples/configurations/llava/chat-simple.tmpl
Normal file
|
|
@ -0,0 +1,3 @@
|
|||
A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions.
|
||||
{{.Input}}
|
||||
ASSISTANT:
|
||||
20
examples/configurations/llava/llava.yaml
Normal file
20
examples/configurations/llava/llava.yaml
Normal file
|
|
@ -0,0 +1,20 @@
|
|||
|
||||
context_size: 4096
|
||||
f16: true
|
||||
threads: 11
|
||||
gpu_layers: 90
|
||||
name: llava
|
||||
mmap: true
|
||||
backend: llama-cpp
|
||||
roles:
|
||||
user: "USER:"
|
||||
assistant: "ASSISTANT:"
|
||||
system: "SYSTEM:"
|
||||
parameters:
|
||||
model: ggml-model-q4_k.gguf
|
||||
temperature: 0.2
|
||||
top_k: 40
|
||||
top_p: 0.95
|
||||
template:
|
||||
chat: chat-simple
|
||||
mmproj: mmproj-model-f16.gguf
|
||||
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
|
|
@ -10,6 +10,33 @@ import (
|
|||
"strings"
|
||||
)
|
||||
|
||||
const (
|
||||
JSONBNF = `root ::= object
|
||||
value ::= object | array | string | number | ("true" | "false" | "null") ws
|
||||
|
||||
object ::=
|
||||
"{" ws (
|
||||
string ":" ws value
|
||||
("," ws string ":" ws value)*
|
||||
)? "}" ws
|
||||
|
||||
array ::=
|
||||
"[" ws (
|
||||
value
|
||||
("," ws value)*
|
||||
)? "]" ws
|
||||
|
||||
string ::=
|
||||
"\"" (
|
||||
[^"\\] |
|
||||
"\\" (["\\/bfnrt] | "u" [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F]) # escapes
|
||||
)* "\"" ws
|
||||
|
||||
number ::= ("-"? ([0-9] | [1-9] [0-9]*)) ("." [0-9]+)? ([eE] [-+]? [0-9]+)? ws
|
||||
|
||||
ws ::= ([ \t\n] ws)?`
|
||||
)
|
||||
|
||||
var (
|
||||
SPACE_RULE = `" "?`
|
||||
|
||||
|
|
|
|||
|
|
@ -1,7 +1,7 @@
|
|||
// Code generated by protoc-gen-go. DO NOT EDIT.
|
||||
// versions:
|
||||
// protoc-gen-go v1.26.0
|
||||
// protoc v3.15.8
|
||||
// protoc v4.23.4
|
||||
// source: pkg/grpc/proto/backend.proto
|
||||
|
||||
package proto
|
||||
|
|
@ -156,6 +156,7 @@ type PredictOptions struct {
|
|||
NegativePromptScale float32 `protobuf:"fixed32,39,opt,name=NegativePromptScale,proto3" json:"NegativePromptScale,omitempty"`
|
||||
NegativePrompt string `protobuf:"bytes,40,opt,name=NegativePrompt,proto3" json:"NegativePrompt,omitempty"`
|
||||
NDraft int32 `protobuf:"varint,41,opt,name=NDraft,proto3" json:"NDraft,omitempty"`
|
||||
Images []string `protobuf:"bytes,42,rep,name=Images,proto3" json:"Images,omitempty"`
|
||||
}
|
||||
|
||||
func (x *PredictOptions) Reset() {
|
||||
|
|
@ -470,6 +471,13 @@ func (x *PredictOptions) GetNDraft() int32 {
|
|||
return 0
|
||||
}
|
||||
|
||||
func (x *PredictOptions) GetImages() []string {
|
||||
if x != nil {
|
||||
return x.Images
|
||||
}
|
||||
return nil
|
||||
}
|
||||
|
||||
// The response message containing the result
|
||||
type Reply struct {
|
||||
state protoimpl.MessageState
|
||||
|
|
@ -561,12 +569,20 @@ type ModelOptions struct {
|
|||
// RWKV
|
||||
Tokenizer string `protobuf:"bytes,34,opt,name=Tokenizer,proto3" json:"Tokenizer,omitempty"`
|
||||
// LLM (llama.cpp)
|
||||
LoraBase string `protobuf:"bytes,35,opt,name=LoraBase,proto3" json:"LoraBase,omitempty"`
|
||||
LoraAdapter string `protobuf:"bytes,36,opt,name=LoraAdapter,proto3" json:"LoraAdapter,omitempty"`
|
||||
NoMulMatQ bool `protobuf:"varint,37,opt,name=NoMulMatQ,proto3" json:"NoMulMatQ,omitempty"`
|
||||
DraftModel string `protobuf:"bytes,39,opt,name=DraftModel,proto3" json:"DraftModel,omitempty"`
|
||||
AudioPath string `protobuf:"bytes,38,opt,name=AudioPath,proto3" json:"AudioPath,omitempty"`
|
||||
Quantization string `protobuf:"bytes,40,opt,name=Quantization,proto3" json:"Quantization,omitempty"`
|
||||
LoraBase string `protobuf:"bytes,35,opt,name=LoraBase,proto3" json:"LoraBase,omitempty"`
|
||||
LoraAdapter string `protobuf:"bytes,36,opt,name=LoraAdapter,proto3" json:"LoraAdapter,omitempty"`
|
||||
LoraScale float32 `protobuf:"fixed32,42,opt,name=LoraScale,proto3" json:"LoraScale,omitempty"`
|
||||
NoMulMatQ bool `protobuf:"varint,37,opt,name=NoMulMatQ,proto3" json:"NoMulMatQ,omitempty"`
|
||||
DraftModel string `protobuf:"bytes,39,opt,name=DraftModel,proto3" json:"DraftModel,omitempty"`
|
||||
AudioPath string `protobuf:"bytes,38,opt,name=AudioPath,proto3" json:"AudioPath,omitempty"`
|
||||
// vllm
|
||||
Quantization string `protobuf:"bytes,40,opt,name=Quantization,proto3" json:"Quantization,omitempty"`
|
||||
MMProj string `protobuf:"bytes,41,opt,name=MMProj,proto3" json:"MMProj,omitempty"`
|
||||
RopeScaling string `protobuf:"bytes,43,opt,name=RopeScaling,proto3" json:"RopeScaling,omitempty"`
|
||||
YarnExtFactor float32 `protobuf:"fixed32,44,opt,name=YarnExtFactor,proto3" json:"YarnExtFactor,omitempty"`
|
||||
YarnAttnFactor float32 `protobuf:"fixed32,45,opt,name=YarnAttnFactor,proto3" json:"YarnAttnFactor,omitempty"`
|
||||
YarnBetaFast float32 `protobuf:"fixed32,46,opt,name=YarnBetaFast,proto3" json:"YarnBetaFast,omitempty"`
|
||||
YarnBetaSlow float32 `protobuf:"fixed32,47,opt,name=YarnBetaSlow,proto3" json:"YarnBetaSlow,omitempty"`
|
||||
}
|
||||
|
||||
func (x *ModelOptions) Reset() {
|
||||
|
|
@ -853,6 +869,13 @@ func (x *ModelOptions) GetLoraAdapter() string {
|
|||
return ""
|
||||
}
|
||||
|
||||
func (x *ModelOptions) GetLoraScale() float32 {
|
||||
if x != nil {
|
||||
return x.LoraScale
|
||||
}
|
||||
return 0
|
||||
}
|
||||
|
||||
func (x *ModelOptions) GetNoMulMatQ() bool {
|
||||
if x != nil {
|
||||
return x.NoMulMatQ
|
||||
|
|
@ -881,6 +904,48 @@ func (x *ModelOptions) GetQuantization() string {
|
|||
return ""
|
||||
}
|
||||
|
||||
func (x *ModelOptions) GetMMProj() string {
|
||||
if x != nil {
|
||||
return x.MMProj
|
||||
}
|
||||
return ""
|
||||
}
|
||||
|
||||
func (x *ModelOptions) GetRopeScaling() string {
|
||||
if x != nil {
|
||||
return x.RopeScaling
|
||||
}
|
||||
return ""
|
||||
}
|
||||
|
||||
func (x *ModelOptions) GetYarnExtFactor() float32 {
|
||||
if x != nil {
|
||||
return x.YarnExtFactor
|
||||
}
|
||||
return 0
|
||||
}
|
||||
|
||||
func (x *ModelOptions) GetYarnAttnFactor() float32 {
|
||||
if x != nil {
|
||||
return x.YarnAttnFactor
|
||||
}
|
||||
return 0
|
||||
}
|
||||
|
||||
func (x *ModelOptions) GetYarnBetaFast() float32 {
|
||||
if x != nil {
|
||||
return x.YarnBetaFast
|
||||
}
|
||||
return 0
|
||||
}
|
||||
|
||||
func (x *ModelOptions) GetYarnBetaSlow() float32 {
|
||||
if x != nil {
|
||||
return x.YarnBetaSlow
|
||||
}
|
||||
return 0
|
||||
}
|
||||
|
||||
type Result struct {
|
||||
state protoimpl.MessageState
|
||||
sizeCache protoimpl.SizeCache
|
||||
|
|
@ -1542,7 +1607,7 @@ var file_pkg_grpc_proto_backend_proto_rawDesc = []byte{
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@ -1620,209 +1685,226 @@ var file_pkg_grpc_proto_backend_proto_rawDesc = []byte{
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0x65, 0x6e, 0x69, 0x7a, 0x61, 0x74, 0x69, 0x6f, 0x6e, 0x52, 0x65, 0x73, 0x70, 0x6f, 0x6e, 0x73,
|
||||
0x65, 0x22, 0x00, 0x12, 0x3b, 0x0a, 0x06, 0x53, 0x74, 0x61, 0x74, 0x75, 0x73, 0x12, 0x16, 0x2e,
|
||||
0x62, 0x61, 0x63, 0x6b, 0x65, 0x6e, 0x64, 0x2e, 0x48, 0x65, 0x61, 0x6c, 0x74, 0x68, 0x4d, 0x65,
|
||||
0x73, 0x73, 0x61, 0x67, 0x65, 0x1a, 0x17, 0x2e, 0x62, 0x61, 0x63, 0x6b, 0x65, 0x6e, 0x64, 0x2e,
|
||||
0x53, 0x74, 0x61, 0x74, 0x75, 0x73, 0x52, 0x65, 0x73, 0x70, 0x6f, 0x6e, 0x73, 0x65, 0x22, 0x00,
|
||||
0x42, 0x5a, 0x0a, 0x19, 0x69, 0x6f, 0x2e, 0x73, 0x6b, 0x79, 0x6e, 0x65, 0x74, 0x2e, 0x6c, 0x6f,
|
||||
0x63, 0x61, 0x6c, 0x61, 0x69, 0x2e, 0x62, 0x61, 0x63, 0x6b, 0x65, 0x6e, 0x64, 0x42, 0x0e, 0x4c,
|
||||
0x6f, 0x63, 0x61, 0x6c, 0x41, 0x49, 0x42, 0x61, 0x63, 0x6b, 0x65, 0x6e, 0x64, 0x50, 0x01, 0x5a,
|
||||
0x2b, 0x67, 0x69, 0x74, 0x68, 0x75, 0x62, 0x2e, 0x63, 0x6f, 0x6d, 0x2f, 0x67, 0x6f, 0x2d, 0x73,
|
||||
0x6b, 0x79, 0x6e, 0x65, 0x74, 0x2f, 0x4c, 0x6f, 0x63, 0x61, 0x6c, 0x41, 0x49, 0x2f, 0x70, 0x6b,
|
||||
0x67, 0x2f, 0x67, 0x72, 0x70, 0x63, 0x2f, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x62, 0x06, 0x70, 0x72,
|
||||
0x6f, 0x74, 0x6f, 0x33,
|
||||
}
|
||||
|
||||
var (
|
||||
|
|
|
|||
|
|
@ -64,6 +64,7 @@ message PredictOptions {
|
|||
float NegativePromptScale = 39;
|
||||
string NegativePrompt = 40;
|
||||
int32 NDraft = 41;
|
||||
repeated string Images = 42;
|
||||
}
|
||||
|
||||
// The response message containing the result
|
||||
|
|
@ -116,6 +117,8 @@ message ModelOptions {
|
|||
// LLM (llama.cpp)
|
||||
string LoraBase = 35;
|
||||
string LoraAdapter = 36;
|
||||
float LoraScale = 42;
|
||||
|
||||
bool NoMulMatQ = 37;
|
||||
string DraftModel = 39;
|
||||
|
||||
|
|
@ -123,6 +126,14 @@ message ModelOptions {
|
|||
|
||||
// vllm
|
||||
string Quantization = 40;
|
||||
|
||||
string MMProj = 41;
|
||||
|
||||
string RopeScaling = 43;
|
||||
float YarnExtFactor = 44;
|
||||
float YarnAttnFactor = 45;
|
||||
float YarnBetaFast = 46;
|
||||
float YarnBetaSlow = 47;
|
||||
}
|
||||
|
||||
message Result {
|
||||
|
|
|
|||
|
|
@ -1,7 +1,7 @@
|
|||
// Code generated by protoc-gen-go-grpc. DO NOT EDIT.
|
||||
// versions:
|
||||
// - protoc-gen-go-grpc v1.2.0
|
||||
// - protoc v3.15.8
|
||||
// - protoc v4.23.4
|
||||
// source: pkg/grpc/proto/backend.proto
|
||||
|
||||
package proto
|
||||
|
|
|
|||
|
|
@ -63,7 +63,7 @@ var AutoLoadBackends []string = []string{
|
|||
// It also loads the model
|
||||
func (ml *ModelLoader) grpcModel(backend string, o *Options) func(string, string) (*grpc.Client, error) {
|
||||
return func(modelName, modelFile string) (*grpc.Client, error) {
|
||||
log.Debug().Msgf("Loading GRPC Model %s: %+v", backend, *o)
|
||||
log.Debug().Msgf("Loading Model %s with gRPC (file: %s) (backend: %s): %+v", modelName, modelFile, backend, *o)
|
||||
|
||||
var client *grpc.Client
|
||||
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue