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Merge branch 'master' into enable_gpu

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Ettore Di Giacinto 2023-11-11 19:20:36 +01:00 • committed by GitHub
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33 changed files with 27190 additions and 1066 deletions
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5
.env
View file

@ -66,4 +66,7 @@ MODELS_PATH=/models
### Python backends GRPC max workers ### Python backends GRPC max workers
### Default number of workers for GRPC Python backends. ### Default number of workers for GRPC Python backends.
### This actually controls wether a backend can process multiple requests or not. ### This actually controls wether a backend can process multiple requests or not.
# PYTHON_GRPC_MAX_WORKERS=1 # PYTHON_GRPC_MAX_WORKERS=1
### Define the number of parallel LLAMA.cpp workers (Defaults to 1)
# LLAMACPP_PARALLEL=1

25
.github/workflows/test.yml vendored
View file

@ -80,24 +80,13 @@ jobs:
sudo rm -rfv /usr/bin/conda || true sudo rm -rfv /usr/bin/conda || true
PATH=$PATH:/opt/conda/bin make -C extra/grpc/huggingface PATH=$PATH:/opt/conda/bin make -C extra/grpc/huggingface
# Pre-build stable diffusion before we install a newever version of abseil (not compatible with stablediffusion-ncn) # Pre-build piper before we start tests in order to have shared libraries in place
GO_TAGS="tts stablediffusion" GRPC_BACKENDS=backend-assets/grpc/stablediffusion make build make go-piper && \
GO_TAGS="tts" make -C go-piper piper.o && \
sudo cp -rfv go-piper/piper/build/pi/lib/. /usr/lib/ && \
sudo mkdir /build && sudo chmod -R 777 /build && cd /build && \ # Pre-build stable diffusion before we install a newer version of abseil (not compatible with stablediffusion-ncn)
curl -L "https://github.com/gabime/spdlog/archive/refs/tags/v1.11.0.tar.gz" | \ GO_TAGS="stablediffusion tts" GRPC_BACKENDS=backend-assets/grpc/stablediffusion make build
tar -xzvf - && \
mkdir -p "spdlog-1.11.0/build" && \
cd "spdlog-1.11.0/build" && \
cmake .. && \
make -j8 && \
sudo cmake --install . --prefix /usr && mkdir -p "lib/Linux-$(uname -m)" && \
cd /build && \
mkdir -p "lib/Linux-$(uname -m)/piper_phonemize" && \
curl -L "https://github.com/rhasspy/piper-phonemize/releases/download/v1.0.0/libpiper_phonemize-amd64.tar.gz" | \
tar -C "lib/Linux-$(uname -m)/piper_phonemize" -xzvf - && ls -liah /build/lib/Linux-$(uname -m)/piper_phonemize/ && \
sudo cp -rfv /build/lib/Linux-$(uname -m)/piper_phonemize/lib/. /usr/lib/ && \
sudo ln -s /usr/lib/libpiper_phonemize.so /usr/lib/libpiper_phonemize.so.1 && \
sudo cp -rfv /build/lib/Linux-$(uname -m)/piper_phonemize/include/. /usr/include/
git clone --recurse-submodules -b v1.58.0 --depth 1 --shallow-submodules https://github.com/grpc/grpc && \ git clone --recurse-submodules -b v1.58.0 --depth 1 --shallow-submodules https://github.com/grpc/grpc && \
cd grpc && mkdir -p cmake/build && cd cmake/build && cmake -DgRPC_INSTALL=ON \ cd grpc && mkdir -p cmake/build && cd cmake/build && cmake -DgRPC_INSTALL=ON \
@ -105,7 +94,7 @@ jobs:
../.. && sudo make -j12 install ../.. && sudo make -j12 install
- name: Test - name: Test
run: | run: |
ESPEAK_DATA="/build/lib/Linux-$(uname -m)/piper_phonemize/lib/espeak-ng-data" GO_TAGS="tts stablediffusion" make test GO_TAGS="stablediffusion tts" make test
tests-apple: tests-apple:
runs-on: macOS-latest runs-on: macOS-latest

26
Dockerfile
View file

@ -8,8 +8,6 @@ FROM golang:$GO_VERSION as requirements-core
ARG BUILD_TYPE ARG BUILD_TYPE
ARG CUDA_MAJOR_VERSION=11 ARG CUDA_MAJOR_VERSION=11
ARG CUDA_MINOR_VERSION=7 ARG CUDA_MINOR_VERSION=7
ARG SPDLOG_VERSION="1.11.0"
ARG PIPER_PHONEMIZE_VERSION='1.0.0'
ARG TARGETARCH ARG TARGETARCH
ARG TARGETVARIANT ARG TARGETVARIANT
@ -52,28 +50,9 @@ RUN ln -s /usr/include/opencv4/opencv2 /usr/include/opencv2
WORKDIR /build WORKDIR /build
# piper requirements
# Use pre-compiled Piper phonemization library (includes onnxruntime)
#RUN if echo "${GO_TAGS}" | grep -q "tts"; then \
RUN test -n "$TARGETARCH" \ RUN test -n "$TARGETARCH" \
|| (echo 'warn: missing $TARGETARCH, either set this `ARG` manually, or run using `docker buildkit`') || (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-$(uname -m)" && \
cd /build && \
mkdir -p "lib/Linux-$(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-$(uname -m)/piper_phonemize/lib/. /usr/lib/ && \
ln -s /usr/lib/libpiper_phonemize.so /usr/lib/libpiper_phonemize.so.1 && \
cp -rfv /build/lib/Linux-$(uname -m)/piper_phonemize/include/. /usr/include/ && \
rm spdlog-${SPDLOG_VERSION} -rf
# Extras requirements # Extras requirements
FROM requirements-core as requirements-extras FROM requirements-core as requirements-extras
@ -137,7 +116,7 @@ RUN if [ "${BUILD_GRPC}" = "true" ]; then \
; fi ; fi
# Rebuild with defaults backends # Rebuild with defaults backends
RUN ESPEAK_DATA=/build/lib/Linux-$(uname -m)/piper_phonemize/lib/espeak-ng-data make build RUN make build
################################### ###################################
################################### ###################################
@ -175,6 +154,9 @@ RUN make prepare-sources
# Copy the binary # Copy the binary
COPY --from=builder /build/local-ai ./ COPY --from=builder /build/local-ai ./
# Copy shared libraries for piper
COPY --from=builder /build/go-piper/piper/build/pi/lib/* /usr/lib/
# do not let stablediffusion rebuild (requires an older version of absl) # do not let stablediffusion rebuild (requires an older version of absl)
COPY --from=builder /build/backend-assets/grpc/stablediffusion ./backend-assets/grpc/stablediffusion COPY --from=builder /build/backend-assets/grpc/stablediffusion ./backend-assets/grpc/stablediffusion

19
Makefile
View file

@ -8,7 +8,7 @@ GOLLAMA_VERSION?=aeba71ee842819da681ea537e78846dc75949ac0
GOLLAMA_STABLE_VERSION?=50cee7712066d9e38306eccadcfbb44ea87df4b7 GOLLAMA_STABLE_VERSION?=50cee7712066d9e38306eccadcfbb44ea87df4b7
CPPLLAMA_VERSION?=629f917cd6b96ba1274c49a8aab163b1b189229d CPPLLAMA_VERSION?=a75fa576abba9d37f463580c379e4bbf1e1ad03c
# gpt4all version # gpt4all version
GPT4ALL_REPO?=https://github.com/nomic-ai/gpt4all GPT4ALL_REPO?=https://github.com/nomic-ai/gpt4all
@ -28,7 +28,7 @@ WHISPER_CPP_VERSION?=85ed71aaec8e0612a84c0b67804bde75aa75a273
BERT_VERSION?=6abe312cded14042f6b7c3cd8edf082713334a4d BERT_VERSION?=6abe312cded14042f6b7c3cd8edf082713334a4d
# go-piper version # go-piper version
PIPER_VERSION?=56b8a81b4760a6fbee1a82e62f007ae7e8f010a7 PIPER_VERSION?=736f6fb639ab8e3397356e48eeb6bdcb9da88a78
# stablediffusion version # stablediffusion version
STABLEDIFFUSION_VERSION?=d89260f598afb809279bc72aa0107b4292587632 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)" override LD_FLAGS += -X "github.com/go-skynet/LocalAI/internal.Commit=$(shell git rev-parse HEAD)"
OPTIONAL_TARGETS?= OPTIONAL_TARGETS?=
ESPEAK_DATA?=
OS := $(shell uname -s) OS := $(shell uname -s)
ARCH := $(shell uname -m) ARCH := $(shell uname -m)
@ -120,6 +119,8 @@ endif
ifeq ($(findstring tts,$(GO_TAGS)),tts) ifeq ($(findstring tts,$(GO_TAGS)),tts)
# OPTIONAL_TARGETS+=go-piper/libpiper_binding.a # OPTIONAL_TARGETS+=go-piper/libpiper_binding.a
# OPTIONAL_TARGETS+=backend-assets/espeak-ng-data # OPTIONAL_TARGETS+=backend-assets/espeak-ng-data
PIPER_CGO_CXXFLAGS+=-I$(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 OPTIONAL_GRPC+=backend-assets/grpc/piper
endif 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/*.dylib backend-assets/gpt4all/ || true
@cp gpt4all/gpt4all-bindings/golang/buildllm/*.dll backend-assets/gpt4all/ || true @cp gpt4all/gpt4all-bindings/golang/buildllm/*.dll backend-assets/gpt4all/ || true
backend-assets/espeak-ng-data: backend-assets/espeak-ng-data: go-piper
mkdir -p backend-assets/espeak-ng-data mkdir -p backend-assets/espeak-ng-data
ifdef ESPEAK_DATA $(MAKE) -C go-piper piper.o
@cp -rf $(ESPEAK_DATA)/. backend-assets/espeak-ng-data @cp -rf go-piper/piper/build/pi/share/espeak-ng-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
gpt4all/gpt4all-bindings/golang/libgpt4all.a: gpt4all gpt4all/gpt4all-bindings/golang/libgpt4all.a: gpt4all
$(MAKE) -C gpt4all/gpt4all-bindings/golang/ libgpt4all.a $(MAKE) -C gpt4all/gpt4all-bindings/golang/ libgpt4all.a
@ -503,7 +500,7 @@ backend-assets/grpc/stablediffusion: backend-assets/grpc
fi fi
backend-assets/grpc/piper: backend-assets/grpc backend-assets/espeak-ng-data go-piper/libpiper_binding.a backend-assets/grpc/piper: backend-assets/grpc backend-assets/espeak-ng-data go-piper/libpiper_binding.a
CGO_LDFLAGS="$(CGO_LDFLAGS)" LIBRARY_PATH=$(shell pwd)/go-piper \ CGO_CXXFLAGS="$(PIPER_CGO_CXXFLAGS)" CGO_LDFLAGS="$(PIPER_CGO_LDFLAGS)" LIBRARY_PATH=$(shell pwd)/go-piper \
$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/piper ./cmd/grpc/piper/ $(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/piper ./cmd/grpc/piper/
backend-assets/grpc/whisper: backend-assets/grpc whisper.cpp/libwhisper.a backend-assets/grpc/whisper: backend-assets/grpc whisper.cpp/libwhisper.a

1
api/backend/image.go
View file

@ -21,6 +21,7 @@ func ImageGeneration(height, width, mode, step, seed int, positive_prompt, negat
PipelineType: c.Diffusers.PipelineType, PipelineType: c.Diffusers.PipelineType,
CFGScale: c.Diffusers.CFGScale, CFGScale: c.Diffusers.CFGScale,
LoraAdapter: c.LoraAdapter, LoraAdapter: c.LoraAdapter,
LoraScale: c.LoraScale,
LoraBase: c.LoraBase, LoraBase: c.LoraBase,
IMG2IMG: c.Diffusers.IMG2IMG, IMG2IMG: c.Diffusers.IMG2IMG,
CLIPModel: c.Diffusers.ClipModel, CLIPModel: c.Diffusers.ClipModel,

3
api/backend/llm.go
View file

@ -26,7 +26,7 @@ type TokenUsage struct {
Completion int 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) {
modelFile := c.Model modelFile := c.Model
grpcOpts := gRPCModelOpts(c) grpcOpts := gRPCModelOpts(c)
@ -72,6 +72,7 @@ func ModelInference(ctx context.Context, s string, loader *model.ModelLoader, c
fn := func() (LLMResponse, error) { fn := func() (LLMResponse, error) {
opts := gRPCPredictOpts(c, loader.ModelPath) opts := gRPCPredictOpts(c, loader.ModelPath)
opts.Prompt = s opts.Prompt = s
opts.Images = images
tokenUsage := TokenUsage{} tokenUsage := TokenUsage{}

52
api/backend/options.go
View file

@ -38,29 +38,35 @@ func gRPCModelOpts(c config.Config) *pb.ModelOptions {
} }
return &pb.ModelOptions{ return &pb.ModelOptions{
ContextSize: int32(c.ContextSize), ContextSize: int32(c.ContextSize),
Seed: int32(c.Seed), Seed: int32(c.Seed),
NBatch: int32(b), NBatch: int32(b),
NoMulMatQ: c.NoMulMatQ, NoMulMatQ: c.NoMulMatQ,
DraftModel: c.DraftModel, DraftModel: c.DraftModel,
AudioPath: c.VallE.AudioPath, AudioPath: c.VallE.AudioPath,
Quantization: c.Quantization, Quantization: c.Quantization,
LoraAdapter: c.LoraAdapter, MMProj: c.MMProj,
LoraBase: c.LoraBase, YarnExtFactor: c.YarnExtFactor,
NGQA: c.NGQA, YarnAttnFactor: c.YarnAttnFactor,
RMSNormEps: c.RMSNormEps, YarnBetaFast: c.YarnBetaFast,
F16Memory: c.F16, YarnBetaSlow: c.YarnBetaSlow,
MLock: c.MMlock, LoraAdapter: c.LoraAdapter,
RopeFreqBase: c.RopeFreqBase, LoraBase: c.LoraBase,
RopeFreqScale: c.RopeFreqScale, LoraScale: c.LoraScale,
NUMA: c.NUMA, NGQA: c.NGQA,
Embeddings: c.Embeddings, RMSNormEps: c.RMSNormEps,
LowVRAM: c.LowVRAM, F16Memory: c.F16,
NGPULayers: int32(c.NGPULayers), MLock: c.MMlock,
MMap: c.MMap, RopeFreqBase: c.RopeFreqBase,
MainGPU: c.MainGPU, RopeFreqScale: c.RopeFreqScale,
Threads: int32(c.Threads), NUMA: c.NUMA,
TensorSplit: c.TensorSplit, Embeddings: c.Embeddings,
LowVRAM: c.LowVRAM,
NGPULayers: int32(c.NGPULayers),
MMap: c.MMap,
MainGPU: c.MainGPU,
Threads: int32(c.Threads),
TensorSplit: c.TensorSplit,
// AutoGPTQ // AutoGPTQ
ModelBaseName: c.AutoGPTQ.ModelBaseName, ModelBaseName: c.AutoGPTQ.ModelBaseName,
Device: c.AutoGPTQ.Device, Device: c.AutoGPTQ.Device,

8
api/config/config.go
View file

@ -100,10 +100,18 @@ type LLMConfig struct {
NUMA bool `yaml:"numa"` NUMA bool `yaml:"numa"`
LoraAdapter string `yaml:"lora_adapter"` LoraAdapter string `yaml:"lora_adapter"`
LoraBase string `yaml:"lora_base"` LoraBase string `yaml:"lora_base"`
LoraScale float32 `yaml:"lora_scale"`
NoMulMatQ bool `yaml:"no_mulmatq"` NoMulMatQ bool `yaml:"no_mulmatq"`
DraftModel string `yaml:"draft_model"` DraftModel string `yaml:"draft_model"`
NDraft int32 `yaml:"n_draft"` NDraft int32 `yaml:"n_draft"`
Quantization string `yaml:"quantization"` 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 { type AutoGPTQ struct {

18
api/openai/chat.go
View file

@ -81,6 +81,10 @@ func ChatEndpoint(cm *config.ConfigLoader, o *options.Option) func(c *fiber.Ctx)
noActionDescription = config.FunctionsConfig.NoActionDescriptionName 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 // process functions if we have any defined or if we have a function call string
if len(input.Functions) > 0 && config.ShouldUseFunctions() { if len(input.Functions) > 0 && config.ShouldUseFunctions() {
log.Debug().Msgf("Response needs to process functions") 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] 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 // First attempt to populate content via a chat message specific template
if config.TemplateConfig.ChatMessage != "" { if config.TemplateConfig.ChatMessage != "" {
chatMessageData := model.ChatMessageTemplateData{ chatMessageData := model.ChatMessageTemplateData{
SystemPrompt: config.SystemPrompt, SystemPrompt: config.SystemPrompt,
Role: r, Role: r,
RoleName: role, RoleName: role,
Content: *i.Content, Content: i.StringContent,
MessageIndex: messageIndex, MessageIndex: messageIndex,
} }
templatedChatMessage, err := o.Loader.EvaluateTemplateForChatMessage(config.TemplateConfig.ChatMessage, chatMessageData) 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 content == "" {
if r != "" { if r != "" {
if contentExists { if contentExists {
content = fmt.Sprint(r, " ", *i.Content) content = fmt.Sprint(r, i.StringContent)
} }
if i.FunctionCall != nil { if i.FunctionCall != nil {
j, err := json.Marshal(i.FunctionCall) j, err := json.Marshal(i.FunctionCall)
@ -180,7 +184,7 @@ func ChatEndpoint(cm *config.ConfigLoader, o *options.Option) func(c *fiber.Ctx)
} }
} else { } else {
if contentExists { if contentExists {
content = fmt.Sprint(*i.Content) content = fmt.Sprint(i.StringContent)
} }
if i.FunctionCall != nil { if i.FunctionCall != nil {
j, err := json.Marshal(i.FunctionCall) 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 // 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 // Note: This costs (in term of CPU) another computation
config.Grammar = "" 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 { if err != nil {
log.Error().Msgf("inference error: %s", err.Error()) log.Error().Msgf("inference error: %s", err.Error())
return return

5
api/openai/completion.go
View file

@ -12,6 +12,7 @@ import (
config "github.com/go-skynet/LocalAI/api/config" config "github.com/go-skynet/LocalAI/api/config"
"github.com/go-skynet/LocalAI/api/options" "github.com/go-skynet/LocalAI/api/options"
"github.com/go-skynet/LocalAI/api/schema" "github.com/go-skynet/LocalAI/api/schema"
"github.com/go-skynet/LocalAI/pkg/grammar"
model "github.com/go-skynet/LocalAI/pkg/model" model "github.com/go-skynet/LocalAI/pkg/model"
"github.com/gofiber/fiber/v2" "github.com/gofiber/fiber/v2"
"github.com/google/uuid" "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) 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) log.Debug().Msgf("Parameter Config: %+v", config)
if input.Stream { if input.Stream {

7
api/openai/inference.go
View file

@ -23,8 +23,13 @@ func ComputeChoices(
n = 1 n = 1
} }
images := []string{}
for _, m := range req.Messages {
images = append(images, m.StringImages...)
}
// get the model function to call for the result // 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 { if err != nil {
return result, backend.TokenUsage{}, err return result, backend.TokenUsage{}, err
} }

65
api/openai/request.go
View file

@ -2,8 +2,11 @@ package openai
import ( import (
"context" "context"
"encoding/base64"
"encoding/json" "encoding/json"
"fmt" "fmt"
"io/ioutil"
"net/http"
"os" "os"
"path/filepath" "path/filepath"
"strings" "strings"
@ -24,7 +27,7 @@ func readInput(c *fiber.Ctx, o *options.Option, randomModel bool) (string, *sche
input.Cancel = cancel input.Cancel = cancel
// Get input data from the request body // Get input data from the request body
if err := c.BodyParser(input); err != nil { if err := c.BodyParser(input); err != nil {
return "", nil, err return "", nil, fmt.Errorf("failed parsing request body: %w", err)
} }
modelFile := input.Model modelFile := input.Model
@ -61,6 +64,37 @@ func readInput(c *fiber.Ctx, o *options.Option, randomModel bool) (string, *sche
return modelFile, input, nil 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) { func updateConfig(config *config.Config, input *schema.OpenAIRequest) {
if input.Echo { if input.Echo {
config.Echo = 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 { if input.RepeatPenalty != 0 {
config.RepeatPenalty = input.RepeatPenalty config.RepeatPenalty = input.RepeatPenalty
} }

16
api/schema/openai.go
View file

@ -55,11 +55,25 @@ type Choice struct {
Text string `json:"text,omitempty"` 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 { type Message struct {
// The message role // The message role
Role string `json:"role,omitempty" yaml:"role"` Role string `json:"role,omitempty" yaml:"role"`
// The message content // 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 // A result of a function call
FunctionCall interface{} `json:"function_call,omitempty" yaml:"function_call,omitempty"` FunctionCall interface{} `json:"function_call,omitempty" yaml:"function_call,omitempty"`
} }

21
backend/cpp/llama/CMakeLists.txt
View file

@ -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(${TARGET} PRIVATE -Wno-cast-qual) # stb_image.h
endif()
set(TARGET grpc-server)
# END CLIP hack
set(CMAKE_CXX_STANDARD 17) set(CMAKE_CXX_STANDARD 17)
cmake_minimum_required(VERSION 3.15) cmake_minimum_required(VERSION 3.15)
set(TARGET grpc-server) set(TARGET grpc-server)
set(_PROTOBUF_LIBPROTOBUF libprotobuf) set(_PROTOBUF_LIBPROTOBUF libprotobuf)
set(_REFLECTION grpc++_reflection) set(_REFLECTION grpc++_reflection)
if (${CMAKE_SYSTEM_NAME} MATCHES "Darwin") if (${CMAKE_SYSTEM_NAME} MATCHES "Darwin")
link_directories("/opt/homebrew/lib") link_directories("/opt/homebrew/lib")
include_directories("/opt/homebrew/include") include_directories("/opt/homebrew/include")
@ -47,10 +60,10 @@ add_library(hw_grpc_proto
${hw_grpc_srcs} ${hw_grpc_srcs}
${hw_grpc_hdrs} ${hw_grpc_hdrs}
${hw_proto_srcs} ${hw_proto_srcs}
${hw_proto_hdrs}) ${hw_proto_hdrs} )
add_executable(${TARGET} grpc-server.cpp) add_executable(${TARGET} grpc-server.cpp json.hpp )
target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT} absl::flags hw_grpc_proto target_link_libraries(${TARGET} PRIVATE common llama myclip ${CMAKE_THREAD_LIBS_INIT} absl::flags hw_grpc_proto
absl::flags_parse absl::flags_parse
gRPC::${_REFLECTION} gRPC::${_REFLECTION}
gRPC::${_GRPC_GRPCPP} gRPC::${_GRPC_GRPCPP}

8
backend/cpp/llama/Makefile
View file

@ -1,5 +1,5 @@
LLAMA_VERSION?= LLAMA_VERSION?=d9b33fe95bd257b36c84ee5769cc048230067d6f
CMAKE_ARGS?= CMAKE_ARGS?=
BUILD_TYPE?= BUILD_TYPE?=
@ -27,11 +27,17 @@ llama.cpp/examples/grpc-server:
mkdir -p 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 ./)/CMakeLists.txt llama.cpp/examples/grpc-server/
cp -r $(abspath ./)/grpc-server.cpp 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 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: rebuild:
cp -rfv $(abspath ./)/CMakeLists.txt llama.cpp/examples/grpc-server/ cp -rfv $(abspath ./)/CMakeLists.txt llama.cpp/examples/grpc-server/
cp -rfv $(abspath ./)/grpc-server.cpp 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 rm -rf grpc-server
$(MAKE) grpc-server $(MAKE) grpc-server

2346
backend/cpp/llama/grpc-server.cpp
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24596
backend/cpp/llama/json.hpp Normal file
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2
entrypoint.sh
View file

@ -5,7 +5,7 @@ cd /build
if [ "$REBUILD" != "false" ]; then if [ "$REBUILD" != "false" ]; then
rm -rf ./local-ai 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 else
echo "@@@@@" echo "@@@@@"
echo "Skipping rebuild" echo "Skipping rebuild"

18
examples/configurations/llava/README.md Normal file
View file

@ -0,0 +1,18 @@
![llava](https://github.com/mudler/LocalAI/assets/2420543/cb0a0897-3b58-4350-af66-e6f4387b58d3)
## 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
View 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
View 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

64
extra/grpc/autogptq/backend_pb2.py
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64
extra/grpc/bark/backend_pb2.py
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64
extra/grpc/diffusers/backend_pb2.py
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64
extra/grpc/exllama/backend_pb2.py
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64
extra/grpc/huggingface/backend_pb2.py
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64
extra/grpc/vall-e-x/backend_pb2.py
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64
extra/grpc/vllm/backend_pb2.py
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27
pkg/grammar/json_schema.go
View file

@ -10,6 +10,33 @@ import (
"strings" "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 ( var (
SPACE_RULE = `" "?` SPACE_RULE = `" "?`

502
pkg/grpc/proto/backend.pb.go
View file

@ -1,7 +1,7 @@
// Code generated by protoc-gen-go. DO NOT EDIT. // Code generated by protoc-gen-go. DO NOT EDIT.
// versions: // versions:
// protoc-gen-go v1.26.0 // protoc-gen-go v1.26.0
// protoc v3.15.8 // protoc v4.23.4
// source: pkg/grpc/proto/backend.proto // source: pkg/grpc/proto/backend.proto
package proto package proto
@ -156,6 +156,7 @@ type PredictOptions struct {
NegativePromptScale float32 `protobuf:"fixed32,39,opt,name=NegativePromptScale,proto3" json:"NegativePromptScale,omitempty"` NegativePromptScale float32 `protobuf:"fixed32,39,opt,name=NegativePromptScale,proto3" json:"NegativePromptScale,omitempty"`
NegativePrompt string `protobuf:"bytes,40,opt,name=NegativePrompt,proto3" json:"NegativePrompt,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"` 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() { func (x *PredictOptions) Reset() {
@ -470,6 +471,13 @@ func (x *PredictOptions) GetNDraft() int32 {
return 0 return 0
} }
func (x *PredictOptions) GetImages() []string {
if x != nil {
return x.Images
}
return nil
}
// The response message containing the result // The response message containing the result
type Reply struct { type Reply struct {
state protoimpl.MessageState state protoimpl.MessageState
@ -561,12 +569,20 @@ type ModelOptions struct {
// RWKV // RWKV
Tokenizer string `protobuf:"bytes,34,opt,name=Tokenizer,proto3" json:"Tokenizer,omitempty"` Tokenizer string `protobuf:"bytes,34,opt,name=Tokenizer,proto3" json:"Tokenizer,omitempty"`
// LLM (llama.cpp) // LLM (llama.cpp)
LoraBase string `protobuf:"bytes,35,opt,name=LoraBase,proto3" json:"LoraBase,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"` LoraAdapter string `protobuf:"bytes,36,opt,name=LoraAdapter,proto3" json:"LoraAdapter,omitempty"`
NoMulMatQ bool `protobuf:"varint,37,opt,name=NoMulMatQ,proto3" json:"NoMulMatQ,omitempty"` LoraScale float32 `protobuf:"fixed32,42,opt,name=LoraScale,proto3" json:"LoraScale,omitempty"`
DraftModel string `protobuf:"bytes,39,opt,name=DraftModel,proto3" json:"DraftModel,omitempty"` NoMulMatQ bool `protobuf:"varint,37,opt,name=NoMulMatQ,proto3" json:"NoMulMatQ,omitempty"`
AudioPath string `protobuf:"bytes,38,opt,name=AudioPath,proto3" json:"AudioPath,omitempty"` DraftModel string `protobuf:"bytes,39,opt,name=DraftModel,proto3" json:"DraftModel,omitempty"`
Quantization string `protobuf:"bytes,40,opt,name=Quantization,proto3" json:"Quantization,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() { func (x *ModelOptions) Reset() {
@ -853,6 +869,13 @@ func (x *ModelOptions) GetLoraAdapter() string {
return "" return ""
} }
func (x *ModelOptions) GetLoraScale() float32 {
if x != nil {
return x.LoraScale
}
return 0
}
func (x *ModelOptions) GetNoMulMatQ() bool { func (x *ModelOptions) GetNoMulMatQ() bool {
if x != nil { if x != nil {
return x.NoMulMatQ return x.NoMulMatQ
@ -881,6 +904,48 @@ func (x *ModelOptions) GetQuantization() string {
return "" 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 { type Result struct {
state protoimpl.MessageState state protoimpl.MessageState
sizeCache protoimpl.SizeCache sizeCache protoimpl.SizeCache
@ -1542,7 +1607,7 @@ var file_pkg_grpc_proto_backend_proto_rawDesc = []byte{
0x0a, 0x1c, 0x70, 0x6b, 0x67, 0x2f, 0x67, 0x72, 0x70, 0x63, 0x2f, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x0a, 0x1c, 0x70, 0x6b, 0x67, 0x2f, 0x67, 0x72, 0x70, 0x63, 0x2f, 0x70, 0x72, 0x6f, 0x74, 0x6f,
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0x72, 0x6f, 0x6d, 0x70, 0x74, 0x18, 0x01, 0x20, 0x01, 0x28, 0x09, 0x52, 0x06, 0x50, 0x72, 0x6f, 0x72, 0x6f, 0x6d, 0x70, 0x74, 0x18, 0x01, 0x20, 0x01, 0x28, 0x09, 0x52, 0x06, 0x50, 0x72, 0x6f,
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@ -1620,209 +1685,226 @@ var file_pkg_grpc_proto_backend_proto_rawDesc = []byte{
0x69, 0x76, 0x65, 0x50, 0x72, 0x6f, 0x6d, 0x70, 0x74, 0x18, 0x28, 0x20, 0x01, 0x28, 0x09, 0x52, 0x69, 0x76, 0x65, 0x50, 0x72, 0x6f, 0x6d, 0x70, 0x74, 0x18, 0x28, 0x20, 0x01, 0x28, 0x09, 0x52,
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} }
var ( var (

11
pkg/grpc/proto/backend.proto
View file

@ -64,6 +64,7 @@ message PredictOptions {
float NegativePromptScale = 39; float NegativePromptScale = 39;
string NegativePrompt = 40; string NegativePrompt = 40;
int32 NDraft = 41; int32 NDraft = 41;
repeated string Images = 42;
} }
// The response message containing the result // The response message containing the result
@ -116,6 +117,8 @@ message ModelOptions {
// LLM (llama.cpp) // LLM (llama.cpp)
string LoraBase = 35; string LoraBase = 35;
string LoraAdapter = 36; string LoraAdapter = 36;
float LoraScale = 42;
bool NoMulMatQ = 37; bool NoMulMatQ = 37;
string DraftModel = 39; string DraftModel = 39;
@ -123,6 +126,14 @@ message ModelOptions {
// vllm // vllm
string Quantization = 40; string Quantization = 40;
string MMProj = 41;
string RopeScaling = 43;
float YarnExtFactor = 44;
float YarnAttnFactor = 45;
float YarnBetaFast = 46;
float YarnBetaSlow = 47;
} }
message Result { message Result {

2
pkg/grpc/proto/backend_grpc.pb.go
View file

@ -1,7 +1,7 @@
// Code generated by protoc-gen-go-grpc. DO NOT EDIT. // Code generated by protoc-gen-go-grpc. DO NOT EDIT.
// versions: // versions:
// - protoc-gen-go-grpc v1.2.0 // - protoc-gen-go-grpc v1.2.0
// - protoc v3.15.8 // - protoc v4.23.4
// source: pkg/grpc/proto/backend.proto // source: pkg/grpc/proto/backend.proto
package proto package proto

2
pkg/model/initializers.go
View file

@ -63,7 +63,7 @@ var AutoLoadBackends []string = []string{
// It also loads the model // It also loads the model
func (ml *ModelLoader) grpcModel(backend string, o *Options) func(string, string) (*grpc.Client, error) { func (ml *ModelLoader) grpcModel(backend string, o *Options) func(string, string) (*grpc.Client, error) {
return func(modelName, modelFile 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 var client *grpc.Client