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wehub-resource-sync 1b8708893a
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chore: import upstream snapshot with attribution
2026-07-13 13:12:26 +08:00

63 lines
2.1 KiB
Go

package config
import (
"os"
"path/filepath"
gguf "github.com/gpustack/gguf-parser-go"
"github.com/mudler/xlog"
)
func init() {
// Register for both explicit llama-cpp and empty backend (auto-detect from GGUF file)
RegisterBackendHook("llama-cpp", llamaCppDefaults)
RegisterBackendHook("", llamaCppDefaults)
}
func llamaCppDefaults(cfg *ModelConfig, modelPath string) {
if os.Getenv("LOCALAI_DISABLE_GUESSING") == "true" {
xlog.Debug("llamaCppDefaults: guessing disabled")
return
}
if modelPath == "" {
return
}
guessPath := filepath.Join(modelPath, cfg.ModelFileName())
defer func() {
if r := recover(); r != nil {
xlog.Error("llamaCppDefaults: panic while parsing gguf file")
}
}()
// Default context size if not set, or if a context_size=-1 auto-max was
// requested but the GGUF could not be parsed, so guessGGUFFromFile never ran
// to resolve it. A negative value must never reach the backend.
defer func() {
if cfg.ContextSize == nil || *cfg.ContextSize < 0 {
ctx := DefaultContextSize
cfg.ContextSize = &ctx
}
}()
// Startup parses every model's GGUF header to guess defaults. We only need
// scalar metadata (architecture, head/ff counts, chat_template, token IDs,
// MTP head) plus array *lengths* — never the array *contents*. Two options
// keep this cheap, which matters when many models live on slow storage such
// as a Docker volume (see https://github.com/mudler/LocalAI/issues/9790):
//
// - SkipLargeMetadata: seek past large array-valued metadata (the tokenizer
// vocab: tokenizer.ggml.tokens/scores/merges, often >100k entries) instead
// of reading and allocating every element. Lengths stay populated.
// - UseMMap: read the header via a memory map so faulting in a few pages
// replaces hundreds of thousands of tiny read() syscalls (measured ~524k
// -> 8 for a 256k-token vocab), the dominant cost on slow filesystems.
//
// The mapping is released when ParseGGUFFile returns.
f, err := gguf.ParseGGUFFile(guessPath, gguf.UseMMap(), gguf.SkipLargeMetadata())
if err == nil {
guessGGUFFromFile(cfg, f, 0)
}
}