mirror of
https://github.com/mudler/LocalAI.git
synced 2024-12-21 05:33:09 +00:00
e49ea0123b
feat(llama.cpp): add flash_attn and no_kv_offload Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
295 lines
6.0 KiB
Protocol Buffer
295 lines
6.0 KiB
Protocol Buffer
syntax = "proto3";
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option go_package = "github.com/go-skynet/LocalAI/pkg/grpc/proto";
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option java_multiple_files = true;
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option java_package = "io.skynet.localai.backend";
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option java_outer_classname = "LocalAIBackend";
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package backend;
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service Backend {
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rpc Health(HealthMessage) returns (Reply) {}
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rpc Predict(PredictOptions) returns (Reply) {}
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rpc LoadModel(ModelOptions) returns (Result) {}
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rpc PredictStream(PredictOptions) returns (stream Reply) {}
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rpc Embedding(PredictOptions) returns (EmbeddingResult) {}
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rpc GenerateImage(GenerateImageRequest) returns (Result) {}
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rpc AudioTranscription(TranscriptRequest) returns (TranscriptResult) {}
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rpc TTS(TTSRequest) returns (Result) {}
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rpc TokenizeString(PredictOptions) returns (TokenizationResponse) {}
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rpc Status(HealthMessage) returns (StatusResponse) {}
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rpc StoresSet(StoresSetOptions) returns (Result) {}
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rpc StoresDelete(StoresDeleteOptions) returns (Result) {}
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rpc StoresGet(StoresGetOptions) returns (StoresGetResult) {}
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rpc StoresFind(StoresFindOptions) returns (StoresFindResult) {}
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rpc Rerank(RerankRequest) returns (RerankResult) {}
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}
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message RerankRequest {
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string query = 1;
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repeated string documents = 2;
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int32 top_n = 3;
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}
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message RerankResult {
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Usage usage = 1;
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repeated DocumentResult results = 2;
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}
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message Usage {
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int32 total_tokens = 1;
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int32 prompt_tokens = 2;
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}
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message DocumentResult {
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int32 index = 1;
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string text = 2;
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float relevance_score = 3;
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}
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message StoresKey {
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repeated float Floats = 1;
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}
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message StoresValue {
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bytes Bytes = 1;
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}
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message StoresSetOptions {
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repeated StoresKey Keys = 1;
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repeated StoresValue Values = 2;
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}
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message StoresDeleteOptions {
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repeated StoresKey Keys = 1;
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}
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message StoresGetOptions {
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repeated StoresKey Keys = 1;
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}
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message StoresGetResult {
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repeated StoresKey Keys = 1;
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repeated StoresValue Values = 2;
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}
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message StoresFindOptions {
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StoresKey Key = 1;
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int32 TopK = 2;
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}
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message StoresFindResult {
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repeated StoresKey Keys = 1;
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repeated StoresValue Values = 2;
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repeated float Similarities = 3;
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}
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message HealthMessage {}
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// The request message containing the user's name.
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message PredictOptions {
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string Prompt = 1;
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int32 Seed = 2;
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int32 Threads = 3;
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int32 Tokens = 4;
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int32 TopK = 5;
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int32 Repeat = 6;
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int32 Batch = 7;
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int32 NKeep = 8;
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float Temperature = 9;
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float Penalty = 10;
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bool F16KV = 11;
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bool DebugMode = 12;
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repeated string StopPrompts = 13;
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bool IgnoreEOS = 14;
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float TailFreeSamplingZ = 15;
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float TypicalP = 16;
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float FrequencyPenalty = 17;
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float PresencePenalty = 18;
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int32 Mirostat = 19;
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float MirostatETA = 20;
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float MirostatTAU = 21;
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bool PenalizeNL = 22;
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string LogitBias = 23;
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bool MLock = 25;
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bool MMap = 26;
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bool PromptCacheAll = 27;
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bool PromptCacheRO = 28;
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string Grammar = 29;
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string MainGPU = 30;
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string TensorSplit = 31;
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float TopP = 32;
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string PromptCachePath = 33;
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bool Debug = 34;
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repeated int32 EmbeddingTokens = 35;
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string Embeddings = 36;
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float RopeFreqBase = 37;
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float RopeFreqScale = 38;
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float NegativePromptScale = 39;
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string NegativePrompt = 40;
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int32 NDraft = 41;
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repeated string Images = 42;
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bool UseTokenizerTemplate = 43;
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repeated Message Messages = 44;
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}
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// The response message containing the result
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message Reply {
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bytes message = 1;
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int32 tokens = 2;
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int32 prompt_tokens = 3;
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}
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message ModelOptions {
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string Model = 1;
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int32 ContextSize = 2;
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int32 Seed = 3;
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int32 NBatch = 4;
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bool F16Memory = 5;
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bool MLock = 6;
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bool MMap = 7;
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bool VocabOnly = 8;
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bool LowVRAM = 9;
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bool Embeddings = 10;
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bool NUMA = 11;
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int32 NGPULayers = 12;
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string MainGPU = 13;
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string TensorSplit = 14;
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int32 Threads = 15;
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string LibrarySearchPath = 16;
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float RopeFreqBase = 17;
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float RopeFreqScale = 18;
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float RMSNormEps = 19;
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int32 NGQA = 20;
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string ModelFile = 21;
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// AutoGPTQ
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string Device = 22;
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bool UseTriton = 23;
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string ModelBaseName = 24;
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bool UseFastTokenizer = 25;
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// Diffusers
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string PipelineType = 26;
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string SchedulerType = 27;
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bool CUDA = 28;
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float CFGScale = 29;
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bool IMG2IMG = 30;
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string CLIPModel = 31;
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string CLIPSubfolder = 32;
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int32 CLIPSkip = 33;
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string ControlNet = 48;
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string Tokenizer = 34;
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// LLM (llama.cpp)
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string LoraBase = 35;
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string LoraAdapter = 36;
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float LoraScale = 42;
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bool NoMulMatQ = 37;
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string DraftModel = 39;
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string AudioPath = 38;
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// vllm
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string Quantization = 40;
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float GPUMemoryUtilization = 50;
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bool TrustRemoteCode = 51;
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bool EnforceEager = 52;
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int32 SwapSpace = 53;
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int32 MaxModelLen = 54;
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int32 TensorParallelSize = 55;
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string MMProj = 41;
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string RopeScaling = 43;
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float YarnExtFactor = 44;
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float YarnAttnFactor = 45;
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float YarnBetaFast = 46;
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float YarnBetaSlow = 47;
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string Type = 49;
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bool FlashAttention = 56;
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bool NoKVOffload = 57;
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}
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message Result {
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string message = 1;
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bool success = 2;
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}
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message EmbeddingResult {
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repeated float embeddings = 1;
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}
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message TranscriptRequest {
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string dst = 2;
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string language = 3;
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uint32 threads = 4;
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}
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message TranscriptResult {
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repeated TranscriptSegment segments = 1;
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string text = 2;
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}
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message TranscriptSegment {
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int32 id = 1;
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int64 start = 2;
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int64 end = 3;
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string text = 4;
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repeated int32 tokens = 5;
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}
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message GenerateImageRequest {
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int32 height = 1;
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int32 width = 2;
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int32 mode = 3;
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int32 step = 4;
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int32 seed = 5;
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string positive_prompt = 6;
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string negative_prompt = 7;
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string dst = 8;
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string src = 9;
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// Diffusers
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string EnableParameters = 10;
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int32 CLIPSkip = 11;
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}
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message TTSRequest {
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string text = 1;
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string model = 2;
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string dst = 3;
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string voice = 4;
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}
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message TokenizationResponse {
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int32 length = 1;
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repeated int32 tokens = 2;
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}
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message MemoryUsageData {
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uint64 total = 1;
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map<string, uint64> breakdown = 2;
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}
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message StatusResponse {
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enum State {
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UNINITIALIZED = 0;
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BUSY = 1;
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READY = 2;
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ERROR = -1;
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}
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State state = 1;
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MemoryUsageData memory = 2;
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}
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message Message {
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string role = 1;
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string content = 2;
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} |