Rebels_w6a8s
realrebelai/Rebels_w6a8s
- 作者
- realrebelai
- 任务
- 图像生成
- 下载量
- 67
- 点赞数
- 9
- 趋势分
- 9
- 许可证
- other
- 收录时间
- 2026/11/8
license: other license_name: see-individual-model-repos pipeline_tag: text-to-image tags:
- w6a8
- quantized
- int6
- comfyui
- comfy-kitchen
- convrot
- low-vram
- safetensors
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.
内容来源：Hugging Face 模型卡
在 Hugging Face 查看