GNER, a Generative Named Entity Recognition framework, which demonstrates enhanced zero-shot capabilities across unseen entity domains. Basically this is a GGUF version of alternatively trained text encoder that you can use as a part of CLIP for Flux, Krea, Chroma or HiDream and many other models that can use FLAN-T5-XXL.
The original model lives here: https://huggingface.co/dyyyyyyyy/GNER-T5-xxl - this Q_8 is a direct quantization of their repo.

Examples of GNER vs FLAN:
PROMPT: Professional raw photo of femme fatale wearing alluring red dress and pointing a pistol at viewer, closeup shot, dark alley, midnight time.
Made with GNER:
Made with FLAN:
...As you can see, it's a matter of artistic taste which one is better!