CivArchive
    T5(GGUF) - Q5_K_M
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    Preview 1

    updated work flow , just install missing node and extract this inside clip folder

    https://civitai.com/models/652981/gguf-workflow-simple?modelVersionId=748334

    🎨 Introducing the T5 Model in GGUF Format! 🎨

    Are you tired of relying on your GPU for high-performance AI inference? Look no further than the latest T5 model in the efficient GUFF format! 💻

    After careful consideration, the best options are:

    Q8 (merged model dev&schnell)

    🔵 t5-v1_1-xxl-encoder-Q8_0.gguf 🔵

    this the most closed to fp16 what ever your GPU

    GGUF offers exceptional quantization capabilities, allowing for faster and more memory-efficient inference on both CPUs and GPUs. 🚀 That means top-notch performance without heavy GPU requirements. 💪

    The other options, t5-v1_1-xxl-encoder-Q4_K_M.gguf and t5-v1_1-xxl-encoder-Q5_K_M.gguf, are also great, but the Q8 version truly shines in terms of efficiency and versatility. 🌟

    was start here

    thanks for city96 here the full list of all t5 guff models and dev&schnell guff models

    Description

    the best choice after q8

    Other
    Flux.1 S

    Details

    Downloads
    18
    Platform
    SeaArt
    Platform Status
    Available
    Created
    8/21/2024
    Updated
    9/14/2025
    Deleted
    -

    Files