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https://github.com/mudler/LocalAI.git
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fix: symlink libphonemize in the container (#831)
This commit is contained in:
commit
688f150463
2
.github/workflows/test.yml
vendored
2
.github/workflows/test.yml
vendored
@ -43,8 +43,8 @@ jobs:
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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/. /lib64/ && \
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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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- name: Test
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run: |
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@ -63,8 +63,8 @@ RUN curl -L "https://github.com/gabime/spdlog/archive/refs/tags/v${SPDLOG_VERSIO
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mkdir -p "lib/Linux-$(uname -m)/piper_phonemize" && \
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curl -L "https://github.com/rhasspy/piper-phonemize/releases/download/v${PIPER_PHONEMIZE_VERSION}/libpiper_phonemize-${TARGETARCH:-$(go env GOARCH)}${TARGETVARIANT}.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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cp -rfv /build/lib/Linux-$(uname -m)/piper_phonemize/lib/. /lib64/ && \
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cp -rfv /build/lib/Linux-$(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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# \
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# ; fi
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@ -30,10 +30,10 @@ import (
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)
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type modelApplyRequest struct {
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ID string `json:"id"`
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URL string `json:"url"`
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Name string `json:"name"`
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Overrides map[string]string `json:"overrides"`
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ID string `json:"id"`
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URL string `json:"url"`
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Name string `json:"name"`
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Overrides map[string]interface{} `json:"overrides"`
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}
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func getModelStatus(url string) (response map[string]interface{}) {
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@ -243,7 +243,7 @@ var _ = Describe("API test", func() {
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response := postModelApplyRequest("http://127.0.0.1:9090/models/apply", modelApplyRequest{
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URL: "https://raw.githubusercontent.com/go-skynet/model-gallery/main/bert-embeddings.yaml",
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Name: "bert",
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Overrides: map[string]string{
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Overrides: map[string]interface{}{
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"backend": "llama",
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},
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})
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@ -269,7 +269,7 @@ var _ = Describe("API test", func() {
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response := postModelApplyRequest("http://127.0.0.1:9090/models/apply", modelApplyRequest{
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URL: "https://raw.githubusercontent.com/go-skynet/model-gallery/main/bert-embeddings.yaml",
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Name: "bert",
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Overrides: map[string]string{},
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Overrides: map[string]interface{}{},
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})
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Expect(response["uuid"]).ToNot(BeEmpty(), fmt.Sprint(response))
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@ -297,7 +297,7 @@ var _ = Describe("API test", func() {
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response := postModelApplyRequest("http://127.0.0.1:9090/models/apply", modelApplyRequest{
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URL: "github:go-skynet/model-gallery/openllama_3b.yaml",
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Name: "openllama_3b",
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Overrides: map[string]string{"backend": "llama"},
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Overrides: map[string]interface{}{"backend": "llama", "mmap": true, "f16": true, "context_size": 128},
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})
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Expect(response["uuid"]).ToNot(BeEmpty(), fmt.Sprint(response))
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@ -366,9 +366,8 @@ var _ = Describe("API test", func() {
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}
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response := postModelApplyRequest("http://127.0.0.1:9090/models/apply", modelApplyRequest{
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URL: "github:go-skynet/model-gallery/gpt4all-j.yaml",
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Name: "gpt4all-j",
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Overrides: map[string]string{},
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URL: "github:go-skynet/model-gallery/gpt4all-j.yaml",
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Name: "gpt4all-j",
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})
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Expect(response["uuid"]).ToNot(BeEmpty(), fmt.Sprint(response))
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@ -17,9 +17,20 @@ type LLM struct {
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}
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func (llm *LLM) Load(opts *pb.ModelOptions) error {
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ropeFreqBase := float32(10000)
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ropeFreqScale := float32(1)
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if opts.RopeFreqBase != 0 {
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ropeFreqBase = opts.RopeFreqBase
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}
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if opts.RopeFreqScale != 0 {
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ropeFreqScale = opts.RopeFreqScale
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}
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llamaOpts := []llama.ModelOption{
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llama.WithRopeFreqBase(opts.RopeFreqBase),
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llama.WithRopeFreqScale(opts.RopeFreqScale),
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llama.WithRopeFreqBase(ropeFreqBase),
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llama.WithRopeFreqScale(ropeFreqScale),
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}
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if opts.ContextSize != 0 {
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@ -58,6 +69,15 @@ func (llm *LLM) Load(opts *pb.ModelOptions) error {
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}
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func buildPredictOptions(opts *pb.PredictOptions) []llama.PredictOption {
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ropeFreqBase := float32(10000)
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ropeFreqScale := float32(1)
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if opts.RopeFreqBase != 0 {
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ropeFreqBase = opts.RopeFreqBase
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}
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if opts.RopeFreqScale != 0 {
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ropeFreqScale = opts.RopeFreqScale
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}
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predictOptions := []llama.PredictOption{
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llama.SetTemperature(opts.Temperature),
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llama.SetTopP(opts.TopP),
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@ -65,8 +85,8 @@ func buildPredictOptions(opts *pb.PredictOptions) []llama.PredictOption {
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llama.SetTokens(int(opts.Tokens)),
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llama.SetThreads(int(opts.Threads)),
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llama.WithGrammar(opts.Grammar),
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llama.SetRopeFreqBase(opts.RopeFreqBase),
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llama.SetRopeFreqScale(opts.RopeFreqScale),
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llama.SetRopeFreqBase(ropeFreqBase),
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llama.SetRopeFreqScale(ropeFreqScale),
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llama.SetNegativePromptScale(opts.NegativePromptScale),
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llama.SetNegativePrompt(opts.NegativePrompt),
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}
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