# 4-bit quantization optimization

The Gemma 3 27B IT model, introduced by Google, is suitable for various text generation and image understanding tasks, supporting a context length of 128k tokens and multimodal image processing.

Flux.1 Q_4_k is a 4-bit quantized GGUF model developed by the Takara.ai research team, optimized for stable-diffusion.cpp, enabling efficient generation of high-quality images on low-end hardware.

A Python code generation model fine-tuned based on unsloth/Phi-3-mini-4k-instruct-bnb-4bit, trained using Unsloth and TRL libraries with 2x speed improvement

An optimized model based on Meta LLAMA-3-8B, trained using lazy-free optimization techniques and the Huggingface TRL library, achieving 2x speed improvement