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. <img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/e7193aaf-f7bb-480a-97cf-6152c4999b10/width=525/e7193aaf-f7bb-480a-97cf-6152c4999b10.jpeg" />The original model lives here: <a target="_blank" rel="ugc" href="https://huggingface.co/dyyyyyyyy/GNER-T5-xxl">https://huggingface.co/dyyyyyyyy/GNER-T5-xxl</a> - 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: <img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f081fadc-5c0e-472a-b020-a4a4c5436af0/width=525/f081fadc-5c0e-472a-b020-a4a4c5436af0.jpeg" />Made with FLAN: <img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7e35a4f3-1d0f-4468-94c5-7f889310a70a/width=525/7e35a4f3-1d0f-4468-94c5-7f889310a70a.jpeg" />...As you can see, it's a matter of artistic taste which one is better!

GNER-T5-XXL GGUF Q_8

this is not a TE-only version, hence it is almost 2x times bigger, for TE-only model (only in safetensors file format) go to: 1) <a target="_blank" rel="ugc" href="https://huggingface.co/silveroxides/GNER-T5-xxl-encoder-only/tree/main">https://huggingface.co/silveroxides/GNER-T5-xxl-encoder-only/tree/main</a> 2) <a target="_blank" rel="ugc" href="https://huggingface.co/wikeeyang/GNER-T5-xxl-encoder-only/tree/main">https://huggingface.co/wikeeyang/GNER-T5-xxl-encoder-only/tree/main</a>

Files with SHA256: 5b6e626aca26db73121d218abba46e7da01f62abf817e74b11488986933c4d9e