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feat(gguf): guess default context size from file #5089

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2 changes: 1 addition & 1 deletion core/cli/run.go
Original file line number Diff line number Diff line change
Expand Up @@ -38,7 +38,7 @@ type RunCMD struct {

F16 bool `name:"f16" env:"LOCALAI_F16,F16" help:"Enable GPU acceleration" group:"performance"`
Threads int `env:"LOCALAI_THREADS,THREADS" short:"t" help:"Number of threads used for parallel computation. Usage of the number of physical cores in the system is suggested" group:"performance"`
ContextSize int `env:"LOCALAI_CONTEXT_SIZE,CONTEXT_SIZE" default:"512" help:"Default context size for models" group:"performance"`
ContextSize int `env:"LOCALAI_CONTEXT_SIZE,CONTEXT_SIZE" help:"Default context size for models" group:"performance"`

Address string `env:"LOCALAI_ADDRESS,ADDRESS" default:":8080" help:"Bind address for the API server" group:"api"`
CORS bool `env:"LOCALAI_CORS,CORS" help:"" group:"api"`
Expand Down
12 changes: 1 addition & 11 deletions core/config/backend_config.go
Original file line number Diff line number Diff line change
Expand Up @@ -389,16 +389,6 @@ func (cfg *BackendConfig) SetDefaults(opts ...ConfigLoaderOption) {
cfg.Embeddings = &falseV
}

// Value passed by the top level are treated as default (no implicit defaults)
// defaults are set by the user
if ctx == 0 {
ctx = 1024
}

if cfg.ContextSize == nil {
cfg.ContextSize = &ctx
}

if threads == 0 {
// Threads can't be 0
threads = 4
Expand All @@ -420,7 +410,7 @@ func (cfg *BackendConfig) SetDefaults(opts ...ConfigLoaderOption) {
cfg.Debug = &trueV
}

guessDefaultsFromFile(cfg, lo.modelPath)
guessDefaultsFromFile(cfg, lo.modelPath, ctx)
}

func (c *BackendConfig) Validate() bool {
Expand Down
253 changes: 253 additions & 0 deletions core/config/gguf.go
Original file line number Diff line number Diff line change
@@ -0,0 +1,253 @@
package config

import (
"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
)

const (
defaultContextSize = 1024
)

type settingsConfig struct {
StopWords []string
TemplateConfig TemplateConfig
RepeatPenalty float64
}

// default settings to adopt with a given model family
var defaultsSettings map[familyType]settingsConfig = map[familyType]settingsConfig{
Gemma: {
RepeatPenalty: 1.0,
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}}<|end▁of▁sentence|>{{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 guessGGUFFromFile(cfg *BackendConfig, f *gguf.GGUFFile, defaultCtx int) {

if defaultCtx == 0 && cfg.ContextSize == nil {
ctxSize := f.EstimateLLaMACppUsage().ContextSize
if ctxSize > 0 {
cSize := int(ctxSize)
cfg.ContextSize = &cSize
} else {
defaultCtx = defaultContextSize
cfg.ContextSize = &defaultCtx
}
}

if cfg.HasTemplate() {
// nothing to guess here
log.Debug().Any("name", cfg.Name).Msgf("guessDefaultsFromFile: %s", "template already set")
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
}
if cfg.RepeatPenalty == 0.0 {
cfg.RepeatPenalty = settings.RepeatPenalty
}
} else {
log.Debug().Any("family", family).Msgf("guessDefaultsFromFile: no template found for family")
}

if cfg.HasTemplate() {
return
}

// identify from well known templates first, otherwise use the raw jinja template
chatTemplate, found := f.Header.MetadataKV.Get("tokenizer.chat_template")
if found {
// try to use the jinja template
cfg.TemplateConfig.JinjaTemplate = true
cfg.TemplateConfig.ChatMessage = chatTemplate.ValueString()
}
}

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(arch, "gemma") || strings.Contains(strings.ToLower(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
}
}
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