LocalAI/model_loader.go

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package main
import (
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"bytes"
"fmt"
"os"
"path/filepath"
"sync"
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"text/template"
llama "github.com/go-skynet/go-llama.cpp"
)
type ModelLoader struct {
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modelPath string
mu sync.Mutex
models map[string]*llama.LLama
promptsTemplates map[string]*template.Template
}
func NewModelLoader(modelPath string) *ModelLoader {
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return &ModelLoader{modelPath: modelPath, models: make(map[string]*llama.LLama), promptsTemplates: make(map[string]*template.Template)}
}
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func (ml *ModelLoader) TemplatePrefix(modelName string, in interface{}) (string, error) {
ml.mu.Lock()
defer ml.mu.Unlock()
m, ok := ml.promptsTemplates[modelName]
if !ok {
// try to find a s.bin
modelBin := fmt.Sprintf("%s.bin", modelName)
m, ok = ml.promptsTemplates[modelBin]
if !ok {
return "", fmt.Errorf("no prompt template available")
}
}
var buf bytes.Buffer
if err := m.Execute(&buf, in); err != nil {
return "", err
}
return buf.String(), nil
}
func (ml *ModelLoader) LoadModel(modelName string, opts ...llama.ModelOption) (*llama.LLama, error) {
ml.mu.Lock()
defer ml.mu.Unlock()
// Check if we already have a loaded model
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modelFile := filepath.Join(ml.modelPath, modelName)
if m, ok := ml.models[modelFile]; ok {
return m, nil
}
// Check if the model path exists
if _, err := os.Stat(modelFile); os.IsNotExist(err) {
// try to find a s.bin
modelBin := fmt.Sprintf("%s.bin", modelFile)
if _, err := os.Stat(modelBin); os.IsNotExist(err) {
return nil, err
} else {
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modelName = fmt.Sprintf("%s.bin", modelName)
modelFile = modelBin
}
}
// Load the model and keep it in memory for later use
model, err := llama.New(modelFile, opts...)
if err != nil {
return nil, err
}
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// If there is a prompt template, load it
modelTemplateFile := fmt.Sprintf("%s.tmpl", modelFile)
// Check if the model path exists
if _, err := os.Stat(modelTemplateFile); err == nil {
dat, err := os.ReadFile(modelTemplateFile)
if err != nil {
return nil, err
}
// Parse the template
tmpl, err := template.New("prompt").Parse(string(dat))
if err != nil {
return nil, err
}
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ml.promptsTemplates[modelName] = tmpl
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}
ml.models[modelFile] = model
return model, err
}