mirror of
https://github.com/mudler/LocalAI.git
synced 2024-06-07 19:40:48 +00:00
parent
d517a54e28
commit
1c4fbaae20
39
Makefile
39
Makefile
@ -17,11 +17,12 @@ all: help
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## Build:
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build: prepare ## Build the project
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C_INCLUDE_PATH=$(shell pwd)/go-llama.cpp:$(shell pwd)/go-gpt4all-j LIBRARY_PATH=$(shell pwd)/go-llama.cpp:$(shell pwd)/go-gpt4all-j $(GOCMD) build -o $(BINARY_NAME) ./
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C_INCLUDE_PATH=$(shell pwd)/go-llama.cpp:$(shell pwd)/go-gpt4all-j:$(shell pwd)/go-gpt2.cpp LIBRARY_PATH=$(shell pwd)/go-llama.cpp:$(shell pwd)/go-gpt4all-j:$(shell pwd)/go-gpt2.cpp $(GOCMD) build -o $(BINARY_NAME) ./
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buildgeneric: prepare-generic ## Build the project
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C_INCLUDE_PATH=$(shell pwd)/go-llama.cpp:$(shell pwd)/go-gpt4all-j LIBRARY_PATH=$(shell pwd)/go-llama.cpp:$(shell pwd)/go-gpt4all-j $(GOCMD) build -o $(BINARY_NAME) ./
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C_INCLUDE_PATH=$(shell pwd)/go-llama.cpp:$(shell pwd)/go-gpt4all-j:$(shell pwd)/go-gpt2.cpp LIBRARY_PATH=$(shell pwd)/go-llama.cpp:$(shell pwd)/go-gpt4all-j:$(shell pwd)/go-gpt2.cpp $(GOCMD) build -o $(BINARY_NAME) ./
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## GPT4ALL-J
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go-gpt4all-j:
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git clone --recurse-submodules https://github.com/go-skynet/go-gpt4all-j.cpp go-gpt4all-j
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# This is hackish, but needed as both go-llama and go-gpt4allj have their own version of ggml..
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@ -30,6 +31,9 @@ go-gpt4all-j:
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@find ./go-gpt4all-j -type f -name "*.h" -exec sed -i'' -e 's/ggml_/ggml_gptj_/g' {} +
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@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_/gptj_/g' {} +
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@find ./go-gpt4all-j -type f -name "*.h" -exec sed -i'' -e 's/gpt_/gptj_/g' {} +
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@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/json_/json_gptj_/g' {} +
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@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/void replace/void json_gptj_replace/g' {} +
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@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/::replace/::json_gptj_replace/g' {} +
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go-gpt4all-j/libgptj.a: go-gpt4all-j
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$(MAKE) -C go-gpt4all-j libgptj.a
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@ -37,6 +41,25 @@ go-gpt4all-j/libgptj.a: go-gpt4all-j
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go-gpt4all-j/libgptj.a-generic: go-gpt4all-j
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$(MAKE) -C go-gpt4all-j generic-libgptj.a
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# CEREBRAS GPT
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go-gpt2.cpp:
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git clone --recurse-submodules https://github.com/go-skynet/go-gpt2.cpp go-gpt2.cpp
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# This is hackish, but needed as both go-llama and go-gpt4allj have their own version of ggml..
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@find ./go-gpt2.cpp -type f -name "*.c" -exec sed -i'' -e 's/ggml_/ggml_gpt2_/g' {} +
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@find ./go-gpt2.cpp -type f -name "*.cpp" -exec sed -i'' -e 's/ggml_/ggml_gpt2_/g' {} +
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@find ./go-gpt2.cpp -type f -name "*.h" -exec sed -i'' -e 's/ggml_/ggml_gpt2_/g' {} +
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@find ./go-gpt2.cpp -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_/gpt2_/g' {} +
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@find ./go-gpt2.cpp -type f -name "*.h" -exec sed -i'' -e 's/gpt_/gpt2_/g' {} +
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@find ./go-gpt2.cpp -type f -name "*.cpp" -exec sed -i'' -e 's/json_/json_gpt2_/g' {} +
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@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/void replace/void json_gpt2_replace/g' {} +
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@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/::replace/::json_gpt2_replace/g' {} +
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go-gpt2.cpp/libgpt2.a: go-gpt2.cpp
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$(MAKE) -C go-gpt2.cpp libgpt2.a
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go-gpt2.cpp/libgpt2.a-generic: go-gpt2.cpp
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$(MAKE) -C go-gpt2.cpp generic-libgpt2.a
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go-llama:
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git clone -b $(GOLLAMA_VERSION) --recurse-submodules https://github.com/go-skynet/go-llama.cpp go-llama
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$(MAKE) -C go-llama libbinding.a
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@ -45,17 +68,19 @@ go-llama-generic:
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git clone -b $(GOLLAMA_VERSION) --recurse-submodules https://github.com/go-skynet/go-llama.cpp go-llama
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$(MAKE) -C go-llama generic-libbinding.a
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prepare: go-llama go-gpt4all-j/libgptj.a
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replace:
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$(GOCMD) mod edit -replace github.com/go-skynet/go-llama.cpp=$(shell pwd)/go-llama
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$(GOCMD) mod edit -replace github.com/go-skynet/go-gpt4all-j.cpp=$(shell pwd)/go-gpt4all-j
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$(GOCMD) mod edit -replace github.com/go-skynet/go-gpt2.cpp=$(shell pwd)/go-gpt2.cpp
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prepare: go-llama go-gpt4all-j/libgptj.a go-gpt2.cpp/libgpt2.a replace
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prepare-generic: go-llama-generic go-gpt4all-j/libgptj.a-generic go-gpt2.cpp/libgpt2.a-generic replace
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prepare-generic: go-llama-generic go-gpt4all-j/libgptj.a-generic
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$(GOCMD) mod edit -replace github.com/go-skynet/go-llama.cpp=$(shell pwd)/go-llama
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$(GOCMD) mod edit -replace github.com/go-skynet/go-gpt4all-j.cpp=$(shell pwd)/go-gpt4all-j
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clean: ## Remove build related file
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rm -fr ./go-llama
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rm -rf ./go-gpt4all-j
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rm -rf ./go-gpt2.cpp
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rm -rf $(BINARY_NAME)
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## Run:
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@ -12,13 +12,12 @@ LocalAI is a straightforward, drop-in replacement API compatible with OpenAI for
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- OpenAI compatible API
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- Supports multiple-models
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- Once loaded the first time, it keep models loaded in memory for faster inference
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- Provides a simple command line interface that allows text generation directly from the terminal
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- Support for prompt templates
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- Doesn't shell-out, but uses C bindings for a faster inference and better performance. Uses [go-llama.cpp](https://github.com/go-skynet/go-llama.cpp) and [go-gpt4all-j.cpp](https://github.com/go-skynet/go-gpt4all-j.cpp).
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## Model compatibility
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It is compatible with the models supported by [llama.cpp](https://github.com/ggerganov/llama.cpp) and also [GPT4ALL-J](https://github.com/nomic-ai/gpt4all).
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It is compatible with the models supported by [llama.cpp](https://github.com/ggerganov/llama.cpp) supports also [GPT4ALL-J](https://github.com/nomic-ai/gpt4all) and [cerebras-GPT with ggml](https://huggingface.co/lxe/Cerebras-GPT-2.7B-Alpaca-SP-ggml).
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Note: You might need to convert older models to the new format, see [here](https://github.com/ggerganov/llama.cpp#using-gpt4all) for instance to run `gpt4all`.
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@ -97,8 +96,6 @@ And you'll see:
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└───────────────────────────────────────────────────┘
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```
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Note: Models have to end up with `.bin` so can be listed by the `/models` endpoint.
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You can control the API server options with command line arguments:
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```
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38
api/api.go
38
api/api.go
@ -8,6 +8,7 @@ import (
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"sync"
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model "github.com/go-skynet/LocalAI/pkg/model"
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gpt2 "github.com/go-skynet/go-gpt2.cpp"
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gptj "github.com/go-skynet/go-gpt4all-j.cpp"
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llama "github.com/go-skynet/go-llama.cpp"
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"github.com/gofiber/fiber/v2"
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@ -73,6 +74,7 @@ func openAIEndpoint(chat bool, loader *model.ModelLoader, threads, ctx int, f16
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var err error
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var model *llama.LLama
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var gptModel *gptj.GPTJ
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var gpt2Model *gpt2.GPT2
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input := new(OpenAIRequest)
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// Get input data from the request body
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@ -97,7 +99,7 @@ func openAIEndpoint(chat bool, loader *model.ModelLoader, threads, ctx int, f16
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}
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// Try to load the model with both
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var llamaerr error
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var llamaerr, gpt2err, gptjerr error
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llamaOpts := []llama.ModelOption{}
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if ctx != 0 {
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llamaOpts = append(llamaOpts, llama.SetContext(ctx))
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@ -106,11 +108,15 @@ func openAIEndpoint(chat bool, loader *model.ModelLoader, threads, ctx int, f16
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llamaOpts = append(llamaOpts, llama.EnableF16Memory)
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}
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// TODO: this is ugly, better identifying the model somehow! however, it is a good stab for a first implementation..
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model, llamaerr = loader.LoadLLaMAModel(modelFile, llamaOpts...)
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if llamaerr != nil {
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gptModel, err = loader.LoadGPTJModel(modelFile)
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if err != nil {
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return fmt.Errorf("llama: %s gpt: %s", llamaerr.Error(), err.Error()) // llama failed first, so we want to catch both errors
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gptModel, gptjerr = loader.LoadGPTJModel(modelFile)
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if gptjerr != nil {
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gpt2Model, gpt2err = loader.LoadGPT2Model(modelFile)
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if gpt2err != nil {
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return fmt.Errorf("llama: %s gpt: %s gpt2: %s", llamaerr.Error(), gptjerr.Error(), gpt2err.Error()) // llama failed first, so we want to catch both errors
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}
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}
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}
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@ -176,6 +182,30 @@ func openAIEndpoint(chat bool, loader *model.ModelLoader, threads, ctx int, f16
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var predFunc func() (string, error)
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switch {
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case gpt2Model != nil:
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predFunc = func() (string, error) {
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// Generate the prediction using the language model
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predictOptions := []gpt2.PredictOption{
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gpt2.SetTemperature(temperature),
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gpt2.SetTopP(topP),
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gpt2.SetTopK(topK),
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gpt2.SetTokens(tokens),
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gpt2.SetThreads(threads),
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}
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if input.Batch != 0 {
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predictOptions = append(predictOptions, gpt2.SetBatch(input.Batch))
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}
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if input.Seed != 0 {
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predictOptions = append(predictOptions, gpt2.SetSeed(input.Seed))
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}
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return gpt2Model.Predict(
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predInput,
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predictOptions...,
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)
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}
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case gptModel != nil:
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predFunc = func() (string, error) {
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// Generate the prediction using the language model
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1
go.mod
1
go.mod
@ -13,6 +13,7 @@ require (
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require (
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github.com/andybalholm/brotli v1.0.4 // indirect
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github.com/cpuguy83/go-md2man/v2 v2.0.2 // indirect
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github.com/go-skynet/go-gpt2.cpp v0.0.0-20230420165404-f15da66b097d // indirect
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github.com/google/uuid v1.3.0 // indirect
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github.com/klauspost/compress v1.15.9 // indirect
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github.com/mattn/go-colorable v0.1.13 // indirect
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4
go.sum
4
go.sum
@ -4,6 +4,10 @@ github.com/coreos/go-systemd/v22 v22.5.0/go.mod h1:Y58oyj3AT4RCenI/lSvhwexgC+NSV
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github.com/cpuguy83/go-md2man/v2 v2.0.2 h1:p1EgwI/C7NhT0JmVkwCD2ZBK8j4aeHQX2pMHHBfMQ6w=
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github.com/cpuguy83/go-md2man/v2 v2.0.2/go.mod h1:tgQtvFlXSQOSOSIRvRPT7W67SCa46tRHOmNcaadrF8o=
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github.com/go-logr/logr v1.2.3 h1:2DntVwHkVopvECVRSlL5PSo9eG+cAkDCuckLubN+rq0=
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github.com/go-skynet/go-gpt2.cpp v0.0.0-20230420164106-516b5871c74d h1:8crcrVuvpRzf6wejPtIFYGmMrSTfW94CYPJZIssT8zo=
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github.com/go-skynet/go-gpt2.cpp v0.0.0-20230420164106-516b5871c74d/go.mod h1:1Wj/xbkMfwQSOrhNYK178IzqQHstZbRfhx4s8p1M5VM=
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github.com/go-skynet/go-gpt2.cpp v0.0.0-20230420165404-f15da66b097d h1:Jabxk0NI5CLbY7PVODkRp1AQbEovS9gM6jGAOwyy5FI=
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github.com/go-skynet/go-gpt2.cpp v0.0.0-20230420165404-f15da66b097d/go.mod h1:1Wj/xbkMfwQSOrhNYK178IzqQHstZbRfhx4s8p1M5VM=
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github.com/go-skynet/go-gpt4all-j.cpp v0.0.0-20230419091210-303cf2a59a94 h1:rtrrMvlIq+g0/ltXjDdLeNtz0uc4wJ4Qs15GFU4ba4c=
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github.com/go-skynet/go-gpt4all-j.cpp v0.0.0-20230419091210-303cf2a59a94/go.mod h1:5VZ9XbcINI0XcHhkcX8GPK8TplFGAzu1Hrg4tNiMCtI=
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github.com/go-skynet/go-llama.cpp v0.0.0-20230415213228-bac222030640 h1:8SSVbQ3yvq7JnfLCLF4USV0PkQnnduUkaNCv/hHDa3E=
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@ -12,20 +12,24 @@ import (
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"github.com/rs/zerolog/log"
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gpt2 "github.com/go-skynet/go-gpt2.cpp"
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gptj "github.com/go-skynet/go-gpt4all-j.cpp"
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llama "github.com/go-skynet/go-llama.cpp"
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)
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type ModelLoader struct {
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modelPath string
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mu sync.Mutex
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models map[string]*llama.LLama
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gptmodels map[string]*gptj.GPTJ
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modelPath string
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mu sync.Mutex
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models map[string]*llama.LLama
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gptmodels map[string]*gptj.GPTJ
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gpt2models map[string]*gpt2.GPT2
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promptsTemplates map[string]*template.Template
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}
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func NewModelLoader(modelPath string) *ModelLoader {
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return &ModelLoader{modelPath: modelPath, gptmodels: make(map[string]*gptj.GPTJ), models: make(map[string]*llama.LLama), promptsTemplates: make(map[string]*template.Template)}
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return &ModelLoader{modelPath: modelPath, gpt2models: make(map[string]*gpt2.GPT2), gptmodels: make(map[string]*gptj.GPTJ), models: make(map[string]*llama.LLama), promptsTemplates: make(map[string]*template.Template)}
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}
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func (ml *ModelLoader) ExistsInModelPath(s string) bool {
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@ -98,6 +102,38 @@ func (ml *ModelLoader) loadTemplateIfExists(modelName, modelFile string) error {
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return nil
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}
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func (ml *ModelLoader) LoadGPT2Model(modelName string) (*gpt2.GPT2, error) {
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ml.mu.Lock()
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defer ml.mu.Unlock()
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// Check if we already have a loaded model
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if !ml.ExistsInModelPath(modelName) {
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return nil, fmt.Errorf("model does not exist")
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}
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if m, ok := ml.gpt2models[modelName]; ok {
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log.Debug().Msgf("Model already loaded in memory: %s", modelName)
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return m, nil
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}
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// Load the model and keep it in memory for later use
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modelFile := filepath.Join(ml.modelPath, modelName)
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log.Debug().Msgf("Loading model in memory from file: %s", modelFile)
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model, err := gpt2.New(modelFile)
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if err != nil {
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return nil, err
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}
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// If there is a prompt template, load it
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if err := ml.loadTemplateIfExists(modelName, modelFile); err != nil {
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return nil, err
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}
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ml.gpt2models[modelName] = model
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return model, err
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}
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func (ml *ModelLoader) LoadGPTJModel(modelName string) (*gptj.GPTJ, error) {
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ml.mu.Lock()
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defer ml.mu.Unlock()
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@ -112,6 +148,13 @@ func (ml *ModelLoader) LoadGPTJModel(modelName string) (*gptj.GPTJ, error) {
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return m, nil
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}
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// TODO: This needs refactoring, it's really bad to have it in here
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// Check if we have a GPT2 model loaded instead - if we do we return an error so the API tries with GPT2
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if _, ok := ml.gpt2models[modelName]; ok {
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log.Debug().Msgf("Model is GPT2: %s", modelName)
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return nil, fmt.Errorf("this model is a GPT2 one")
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}
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// Load the model and keep it in memory for later use
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modelFile := filepath.Join(ml.modelPath, modelName)
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log.Debug().Msgf("Loading model in memory from file: %s", modelFile)
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@ -152,6 +195,10 @@ func (ml *ModelLoader) LoadLLaMAModel(modelName string, opts ...llama.ModelOptio
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log.Debug().Msgf("Model is GPTJ: %s", modelName)
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return nil, fmt.Errorf("this model is a GPTJ one")
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}
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if _, ok := ml.gpt2models[modelName]; ok {
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log.Debug().Msgf("Model is GPT2: %s", modelName)
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return nil, fmt.Errorf("this model is a GPT2 one")
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}
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// Load the model and keep it in memory for later use
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modelFile := filepath.Join(ml.modelPath, modelName)
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