Skip to content
NewA calmer, faster ZeroHour

pottokao/Qwen-Image-2.1-Text-Encoder-Heretic-GGUF — new model trending #30 on Hugging Face

Hugging Face trending modelsby pottokao ()7 min read16 · 8 reads
AI summary · grok-4.7Summaries by Vani AI

Community GGUF, FP8, and BF16 builds of the Qwen-Image-2.1 text encoder are trending on Hugging Face.

A community Hugging Face repo is trending with GGUF, FP8, and BF16 builds of a Heretic Qwen3-VL 8B text encoder for Qwen-Image-2.1. The Q4_K_M GGUF is 5.0 GB and needs a 1.2 GB mmproj; FP8 and BF16 safetensors are 9.3 GB and 17.5 GB. The author says a ComfyUI-GGUF add-on fixes vision-tower loading and unknown-architecture errors so the text encoder and DiT can both run as GGUF. Suggested settings are 25 steps, using CFG 1.0 or a mid-run switch to CFG 3.0 for readable text.

Key facts
  • Trending #30: Heretic Qwen3-VL 8B text-encoder weights for Qwen-Image-2.1.
  • GGUF Q4_K_M is 5.0 GB plus a 1.2 GB mmproj; FP8 is 9.3 GB and BF16 is 17.5 GB.
  • A ComfyUI add-on loads the Qwen3-VL vision tower so GGUF text-encoder and DiT files run.
  • Recommended sampling is 25 steps, with CFG split from 1.0 to 3.0 when rendering text.
Explain this AI news with Vani AIWhat was announced, what is new and why it matters, in a new chat

From the original article

7 min read at huggingface.co

> **Got `got input of size [1, 512, 12288]` with the GGUF? It's fixed. ** > The GGUF files were fine all along — ComfyUI-GGUF just didn't load the Qwen3-VL vision tower.

Hugging Face trending models

By pottokao · huggingface.co

Read the full article at Hugging Face trending models

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.