Rebel AI — W6A8 Quantized Models

Overview

6-bit weight / 8-bit activation quantizations for efficient AI inference.

These quantizations aim to reduce model memory requirements while maintaining high-quality outputs, making powerful AI models more accessible to users with limited hardware resources.

What is W6A8?

W6A8 combines:

W6: 6-bit quantized model weights.
A8: 8-bit activation quantization.
Mixed Precision: Higher precision may be retained in selected layers when necessary.

W6A8 offers a middle ground between aggressive 4-bit quantization and higher-precision formats, with the goal of preserving model quality while reducing memory requirements.

Installation

Download your desired .safetensors model from this repository.

For supported ComfyUI workflows, place the model in:

ComfyUI/models/diffusion_models/

Note: W6A8 models require a compatible inference implementation. Ensure your loader and workflow support the specific quantization format before use.

Important Notes

Quantized models may require specialized loaders or custom nodes.
Performance and memory consumption vary by GPU and inference backend.
Original model licenses and usage restrictions still apply.
All models are provided as-is.

Other Quantization Repositories

W4A8 Models: https://huggingface.co/realrebelai/Rebels_w4a8s

Connect with Rebel AI

YouTube: https://youtube.com/@realrebelai
X / Twitter: https://x.com/realrebelai
Hugging Face: https://huggingface.co/realrebelai

Rebel AI — Making powerful AI models accessible to everyone.

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