mirror of
https://github.com/mudler/LocalAI.git
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227 lines
7.9 KiB
Go
227 lines
7.9 KiB
Go
package config
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import (
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"os"
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"path/filepath"
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"strings"
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"github.com/rs/zerolog/log"
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gguf "github.com/thxcode/gguf-parser-go"
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)
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type familyType uint8
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const (
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Unknown familyType = iota
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LLaMa3
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CommandR
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Phi3
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ChatML
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Mistral03
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Gemma
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)
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type settingsConfig struct {
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StopWords []string
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TemplateConfig TemplateConfig
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}
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// default settings to adopt with a given model family
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var defaultsSettings map[familyType]settingsConfig = map[familyType]settingsConfig{
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Gemma: {
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StopWords: []string{"<|im_end|>", "<end_of_turn>", "<start_of_turn>"},
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TemplateConfig: TemplateConfig{
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Chat: "{{.Input }}\n<|start_of_turn|>model\n",
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ChatMessage: "<|start_of_turn|>{{if eq .RoleName \"assistant\" }}model{{else}}{{ .RoleName }}{{end}}\n{{ if .Content -}}\n{{.Content -}}\n{{ end -}}<|end_of_turn|>",
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Completion: "{{.Input}}",
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},
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},
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LLaMa3: {
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StopWords: []string{"<|eot_id|>"},
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TemplateConfig: TemplateConfig{
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Chat: "<|begin_of_text|>{{.Input }}\n<|start_header_id|>assistant<|end_header_id|>",
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ChatMessage: "<|start_header_id|>{{ .RoleName }}<|end_header_id|>\n\n{{.Content }}<|eot_id|>",
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},
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},
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CommandR: {
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TemplateConfig: TemplateConfig{
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Chat: "{{.Input -}}<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>",
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Functions: `<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>
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You are a function calling AI model, you can call the following functions:
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## Available Tools
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{{range .Functions}}
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- {"type": "function", "function": {"name": "{{.Name}}", "description": "{{.Description}}", "parameters": {{toJson .Parameters}} }}
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{{end}}
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When using a tool, reply with JSON, for instance {"name": "tool_name", "arguments": {"param1": "value1", "param2": "value2"}}
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<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>{{.Input -}}`,
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ChatMessage: `{{if eq .RoleName "user" -}}
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<|START_OF_TURN_TOKEN|><|USER_TOKEN|>{{.Content}}<|END_OF_TURN_TOKEN|>
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{{- else if eq .RoleName "system" -}}
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<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>{{.Content}}<|END_OF_TURN_TOKEN|>
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{{- else if eq .RoleName "assistant" -}}
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<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>{{.Content}}<|END_OF_TURN_TOKEN|>
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{{- else if eq .RoleName "tool" -}}
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<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>{{.Content}}<|END_OF_TURN_TOKEN|>
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{{- else if .FunctionCall -}}
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<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>{{toJson .FunctionCall}}}<|END_OF_TURN_TOKEN|>
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{{- end -}}`,
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},
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StopWords: []string{"<|END_OF_TURN_TOKEN|>"},
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},
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Phi3: {
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TemplateConfig: TemplateConfig{
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Chat: "{{.Input}}\n<|assistant|>",
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ChatMessage: "<|{{ .RoleName }}|>\n{{.Content}}<|end|>",
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Completion: "{{.Input}}",
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},
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StopWords: []string{"<|end|>", "<|endoftext|>"},
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},
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ChatML: {
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TemplateConfig: TemplateConfig{
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Chat: "{{.Input -}}\n<|im_start|>assistant",
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Functions: `<|im_start|>system
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You are a function calling AI model. You are provided with functions to execute. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. Here are the available tools:
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{{range .Functions}}
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{'type': 'function', 'function': {'name': '{{.Name}}', 'description': '{{.Description}}', 'parameters': {{toJson .Parameters}} }}
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{{end}}
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For each function call return a json object with function name and arguments
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<|im_end|>
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{{.Input -}}
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<|im_start|>assistant`,
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ChatMessage: `<|im_start|>{{ .RoleName }}
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{{ if .FunctionCall -}}
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Function call:
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{{ else if eq .RoleName "tool" -}}
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Function response:
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{{ end -}}
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{{ if .Content -}}
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{{.Content }}
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{{ end -}}
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{{ if .FunctionCall -}}
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{{toJson .FunctionCall}}
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{{ end -}}<|im_end|>`,
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},
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StopWords: []string{"<|im_end|>", "<dummy32000>", "</s>"},
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},
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Mistral03: {
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TemplateConfig: TemplateConfig{
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Chat: "{{.Input -}}",
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Functions: `[AVAILABLE_TOOLS] [{{range .Functions}}{"type": "function", "function": {"name": "{{.Name}}", "description": "{{.Description}}", "parameters": {{toJson .Parameters}} }}{{end}} ] [/AVAILABLE_TOOLS]{{.Input }}`,
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ChatMessage: `{{if eq .RoleName "user" -}}
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[INST] {{.Content }} [/INST]
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{{- else if .FunctionCall -}}
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[TOOL_CALLS] {{toJson .FunctionCall}} [/TOOL_CALLS]
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{{- else if eq .RoleName "tool" -}}
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[TOOL_RESULTS] {{.Content}} [/TOOL_RESULTS]
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{{- else -}}
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{{ .Content -}}
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{{ end -}}`,
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},
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StopWords: []string{"<|im_end|>", "<dummy32000>", "</tool_call>", "<|eot_id|>", "<|end_of_text|>", "</s>", "[/TOOL_CALLS]", "[/ACTIONS]"},
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},
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}
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// this maps well known template used in HF to model families defined above
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var knownTemplates = map[string]familyType{
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`{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ system_message }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|im_start|>user\n' + content + '<|im_end|>\n<|im_start|>assistant\n' }}{% elif message['role'] == 'assistant' %}{{ content + '<|im_end|>' + '\n' }}{% endif %}{% endfor %}`: ChatML,
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`{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token}}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}`: Mistral03,
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}
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func guessDefaultsFromFile(cfg *BackendConfig, modelPath string) {
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if os.Getenv("LOCALAI_DISABLE_GUESSING") == "true" {
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log.Debug().Msgf("guessDefaultsFromFile: %s", "guessing disabled with LOCALAI_DISABLE_GUESSING")
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return
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}
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if modelPath == "" {
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log.Debug().Msgf("guessDefaultsFromFile: %s", "modelPath is empty")
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return
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}
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if cfg.HasTemplate() {
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// nothing to guess here
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log.Debug().Any("name", cfg.Name).Msgf("guessDefaultsFromFile: %s", "template already set")
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return
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}
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// We try to guess only if we don't have a template defined already
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f, err := gguf.ParseGGUFFile(filepath.Join(modelPath, cfg.ModelFileName()))
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if err != nil {
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// Only valid for gguf files
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log.Debug().Msgf("guessDefaultsFromFile: %s", "not a GGUF file")
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return
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}
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log.Debug().
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Any("eosTokenID", f.Tokenizer().EOSTokenID).
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Any("bosTokenID", f.Tokenizer().BOSTokenID).
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Any("modelName", f.Model().Name).
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Any("architecture", f.Architecture().Architecture).Msgf("Model file loaded: %s", cfg.ModelFileName())
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// guess the name
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if cfg.Name == "" {
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cfg.Name = f.Model().Name
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}
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family := identifyFamily(f)
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if family == Unknown {
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log.Debug().Msgf("guessDefaultsFromFile: %s", "family not identified")
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return
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}
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// identify template
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settings, ok := defaultsSettings[family]
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if ok {
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cfg.TemplateConfig = settings.TemplateConfig
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log.Debug().Any("family", family).Msgf("guessDefaultsFromFile: guessed template %+v", cfg.TemplateConfig)
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if len(cfg.StopWords) == 0 {
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cfg.StopWords = settings.StopWords
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}
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} else {
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log.Debug().Any("family", family).Msgf("guessDefaultsFromFile: no template found for family")
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}
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}
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func identifyFamily(f *gguf.GGUFFile) familyType {
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// identify from well known templates first
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chatTemplate, found := f.Header.MetadataKV.Get("tokenizer.chat_template")
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if found && chatTemplate.ValueString() != "" {
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if family, ok := knownTemplates[chatTemplate.ValueString()]; ok {
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return family
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}
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}
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// otherwise try to identify from the model properties
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arch := f.Architecture().Architecture
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eosTokenID := f.Tokenizer().EOSTokenID
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bosTokenID := f.Tokenizer().BOSTokenID
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isYI := arch == "llama" && bosTokenID == 1 && eosTokenID == 2
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// WTF! Mistral0.3 and isYi have same bosTokenID and eosTokenID
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llama3 := arch == "llama" && eosTokenID == 128009
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commandR := arch == "command-r" && eosTokenID == 255001
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qwen2 := arch == "qwen2"
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phi3 := arch == "phi-3"
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gemma := strings.HasPrefix(f.Model().Name, "gemma")
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switch {
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case gemma:
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return Gemma
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case llama3:
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return LLaMa3
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case commandR:
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return CommandR
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case phi3:
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return Phi3
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case qwen2, isYI:
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return ChatML
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default:
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return Unknown
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}
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}
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