*** GGUF (GPT-Generated Unified Format) is primarily an inference-optimized format, but it is better described as a unified binary format for efficient local
LLM deployment and inference. While its main goal is speeding up inference on consumer hardware, it also solves key packaging and compatibility problems ***
GGUF is a custom format developed by the Unsloth team to optimize the storage and loading of quantized models, particularly those in 4-bit NF4 format.
The GGUF format is designed to be more efficient for inference and fine-tuning tasks, allowing for faster loading times and reduced memory usage compared
to traditional formats. When model is saved in GGUF format using Unsloth, it creates a separate folder (e.g., "Tanmoy-3.2-1B-GGUF") that contains all
the necessary files for the model, including the quantized weights and tokenizer. This allows anyone to easily manage and deploy his or her models while keeping
the original HuggingFace files intact.IT is just inference optimized format that can be loaded with FastLanguageModel.from_pretrained and it will automatically
detect the GGUF files and load them.
