---
license: apache-2.0
base_model: ByteDance/Bernini-R
tags: [gguf, wan2.2, comfyui, bernini-r, text-to-video, image-editing]
---

# Bernini-R — GGUF (high / low noise experts)

GGUF quantizations of **[ByteDance/Bernini-R](https://huggingface.co/ByteDance/Bernini-R)**
(Wan2.2-T2V-A14B + source-id RoPE + APG) for use with
**[ComfyUI-BerniniR](https://github.com/neuregex/ComfyUI-BerniniR)** + `ComfyUI-GGUF`.

Two experts (Wan 2.2 high/low-noise), quants: `Q4_K_M`, `Q5_K_M`, `Q8_0`.
Load each with `UnetLoaderGGUF` then `BerniniR · Apply Patches`. GGUF avoids the fp8
dual-expert memory crash, so both experts run in 24 GB.