Principle:Ggml org Llama cpp Model Serialization
| Knowledge Sources | |
|---|---|
| Domains | Model_Loading, GGUF |
| Last Updated | 2026-02-15 00:00 GMT |
Overview
Model Serialization is the principle of saving and loading model weight data and metadata to and from the GGUF file format.
Description
This principle covers the serialization layer responsible for writing model data to GGUF files and the loading interface for reading them back. The model saver handles writing tensor data, metadata, and vocabulary information in the GGUF binary format. The model loader header defines the interface for the loading pipeline that reads GGUF files and reconstructs the in-memory model representation.
Usage
Apply this principle when exporting modified models (e.g., after quantization or LoRA merging) to GGUF format, or when extending the model loading pipeline to handle new metadata fields or tensor formats.
Theoretical Basis
Model serialization in GGUF follows a structured binary format with a header section containing metadata key-value pairs and a data section containing tensor data. The format supports multiple data types for both metadata (strings, integers, floats, arrays) and tensor data (various quantization formats). Serialization must handle alignment requirements for memory-mapped access, endianness consistency, and versioning for forward compatibility. The loader interface abstracts the details of file parsing, tensor memory allocation, and backend buffer creation behind a clean API.