LocalAI/core/config/guesser.go

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package config
import (
"os"
"path/filepath"
"strings"
"github.com/rs/zerolog/log"
gguf "github.com/thxcode/gguf-parser-go"
)
type familyType uint8
const (
Unknown familyType = iota
LLaMa3
CommandR
Phi3
ChatML
Mistral03
Gemma
DeepSeek2
)
type settingsConfig struct {
StopWords []string
TemplateConfig TemplateConfig
}
// default settings to adopt with a given model family
var defaultsSettings map[familyType]settingsConfig = map[familyType]settingsConfig{
Gemma: {
StopWords: []string{"<|im_end|>", "<end_of_turn>", "<start_of_turn>"},
TemplateConfig: TemplateConfig{
Chat: "{{.Input }}\n<|start_of_turn|>model\n",
ChatMessage: "<|start_of_turn|>{{if eq .RoleName \"assistant\" }}model{{else}}{{ .RoleName }}{{end}}\n{{ if .Content -}}\n{{.Content -}}\n{{ end -}}<|end_of_turn|>",
Completion: "{{.Input}}",
},
},
DeepSeek2: {
StopWords: []string{"<end▁of▁sentence>"},
TemplateConfig: TemplateConfig{
ChatMessage: `{{if eq .RoleName "user" -}}User: {{.Content }}
{{ end -}}
{{if eq .RoleName "assistant" -}}Assistant: {{.Content}}<endofsentence>{{end}}
{{if eq .RoleName "system" -}}{{.Content}}
{{end -}}`,
Chat: "{{.Input -}}\nAssistant: ",
},
},
LLaMa3: {
StopWords: []string{"<|eot_id|>"},
TemplateConfig: TemplateConfig{
Chat: "<|begin_of_text|>{{.Input }}\n<|start_header_id|>assistant<|end_header_id|>",
ChatMessage: "<|start_header_id|>{{ .RoleName }}<|end_header_id|>\n\n{{.Content }}<|eot_id|>",
},
},
CommandR: {
TemplateConfig: TemplateConfig{
Chat: "{{.Input -}}<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>",
Functions: `<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>
You are a function calling AI model, you can call the following functions:
## Available Tools
{{range .Functions}}
- {"type": "function", "function": {"name": "{{.Name}}", "description": "{{.Description}}", "parameters": {{toJson .Parameters}} }}
{{end}}
When using a tool, reply with JSON, for instance {"name": "tool_name", "arguments": {"param1": "value1", "param2": "value2"}}
<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>{{.Input -}}`,
ChatMessage: `{{if eq .RoleName "user" -}}
<|START_OF_TURN_TOKEN|><|USER_TOKEN|>{{.Content}}<|END_OF_TURN_TOKEN|>
{{- else if eq .RoleName "system" -}}
<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>{{.Content}}<|END_OF_TURN_TOKEN|>
{{- else if eq .RoleName "assistant" -}}
<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>{{.Content}}<|END_OF_TURN_TOKEN|>
{{- else if eq .RoleName "tool" -}}
<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>{{.Content}}<|END_OF_TURN_TOKEN|>
{{- else if .FunctionCall -}}
<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>{{toJson .FunctionCall}}}<|END_OF_TURN_TOKEN|>
{{- end -}}`,
},
StopWords: []string{"<|END_OF_TURN_TOKEN|>"},
},
Phi3: {
TemplateConfig: TemplateConfig{
Chat: "{{.Input}}\n<|assistant|>",
ChatMessage: "<|{{ .RoleName }}|>\n{{.Content}}<|end|>",
Completion: "{{.Input}}",
},
StopWords: []string{"<|end|>", "<|endoftext|>"},
},
ChatML: {
TemplateConfig: TemplateConfig{
Chat: "{{.Input -}}\n<|im_start|>assistant",
Functions: `<|im_start|>system
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:
{{range .Functions}}
{'type': 'function', 'function': {'name': '{{.Name}}', 'description': '{{.Description}}', 'parameters': {{toJson .Parameters}} }}
{{end}}
For each function call return a json object with function name and arguments
<|im_end|>
{{.Input -}}
<|im_start|>assistant`,
ChatMessage: `<|im_start|>{{ .RoleName }}
{{ if .FunctionCall -}}
Function call:
{{ else if eq .RoleName "tool" -}}
Function response:
{{ end -}}
{{ if .Content -}}
{{.Content }}
{{ end -}}
{{ if .FunctionCall -}}
{{toJson .FunctionCall}}
{{ end -}}<|im_end|>`,
},
StopWords: []string{"<|im_end|>", "<dummy32000>", "</s>"},
},
Mistral03: {
TemplateConfig: TemplateConfig{
Chat: "{{.Input -}}",
Functions: `[AVAILABLE_TOOLS] [{{range .Functions}}{"type": "function", "function": {"name": "{{.Name}}", "description": "{{.Description}}", "parameters": {{toJson .Parameters}} }}{{end}} ] [/AVAILABLE_TOOLS]{{.Input }}`,
ChatMessage: `{{if eq .RoleName "user" -}}
[INST] {{.Content }} [/INST]
{{- else if .FunctionCall -}}
[TOOL_CALLS] {{toJson .FunctionCall}} [/TOOL_CALLS]
{{- else if eq .RoleName "tool" -}}
[TOOL_RESULTS] {{.Content}} [/TOOL_RESULTS]
{{- else -}}
{{ .Content -}}
{{ end -}}`,
},
StopWords: []string{"<|im_end|>", "<dummy32000>", "</tool_call>", "<|eot_id|>", "<|end_of_text|>", "</s>", "[/TOOL_CALLS]", "[/ACTIONS]"},
},
}
// this maps well known template used in HF to model families defined above
var knownTemplates = map[string]familyType{
`{% 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,
`{{ 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,
}
func guessDefaultsFromFile(cfg *BackendConfig, modelPath string) {
if os.Getenv("LOCALAI_DISABLE_GUESSING") == "true" {
log.Debug().Msgf("guessDefaultsFromFile: %s", "guessing disabled with LOCALAI_DISABLE_GUESSING")
return
}
if modelPath == "" {
log.Debug().Msgf("guessDefaultsFromFile: %s", "modelPath is empty")
return
}
if cfg.HasTemplate() {
// nothing to guess here
log.Debug().Any("name", cfg.Name).Msgf("guessDefaultsFromFile: %s", "template already set")
return
}
// We try to guess only if we don't have a template defined already
f, err := gguf.ParseGGUFFile(filepath.Join(modelPath, cfg.ModelFileName()))
if err != nil {
// Only valid for gguf files
log.Debug().Msgf("guessDefaultsFromFile: %s", "not a GGUF file")
return
}
log.Debug().
Any("eosTokenID", f.Tokenizer().EOSTokenID).
Any("bosTokenID", f.Tokenizer().BOSTokenID).
Any("modelName", f.Model().Name).
Any("architecture", f.Architecture().Architecture).Msgf("Model file loaded: %s", cfg.ModelFileName())
// guess the name
if cfg.Name == "" {
cfg.Name = f.Model().Name
}
family := identifyFamily(f)
if family == Unknown {
log.Debug().Msgf("guessDefaultsFromFile: %s", "family not identified")
return
}
// identify template
settings, ok := defaultsSettings[family]
if ok {
cfg.TemplateConfig = settings.TemplateConfig
log.Debug().Any("family", family).Msgf("guessDefaultsFromFile: guessed template %+v", cfg.TemplateConfig)
if len(cfg.StopWords) == 0 {
cfg.StopWords = settings.StopWords
}
} else {
log.Debug().Any("family", family).Msgf("guessDefaultsFromFile: no template found for family")
}
}
func identifyFamily(f *gguf.GGUFFile) familyType {
// identify from well known templates first
chatTemplate, found := f.Header.MetadataKV.Get("tokenizer.chat_template")
if found && chatTemplate.ValueString() != "" {
if family, ok := knownTemplates[chatTemplate.ValueString()]; ok {
return family
}
}
// otherwise try to identify from the model properties
arch := f.Architecture().Architecture
eosTokenID := f.Tokenizer().EOSTokenID
bosTokenID := f.Tokenizer().BOSTokenID
isYI := arch == "llama" && bosTokenID == 1 && eosTokenID == 2
// WTF! Mistral0.3 and isYi have same bosTokenID and eosTokenID
llama3 := arch == "llama" && eosTokenID == 128009
commandR := arch == "command-r" && eosTokenID == 255001
qwen2 := arch == "qwen2"
phi3 := arch == "phi-3"
gemma := strings.HasPrefix(f.Model().Name, "gemma")
deepseek2 := arch == "deepseek2"
switch {
case deepseek2:
return DeepSeek2
case gemma:
return Gemma
case llama3:
return LLaMa3
case commandR:
return CommandR
case phi3:
return Phi3
case qwen2, isYI:
return ChatML
default:
return Unknown
}
}