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README.md
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---
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base_model: google/t5-v1_1-xxl
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library_name: gguf
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license: apache-2.0
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quantized_by: city96
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language: en
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---
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This is a GGUF conversion of Google's T5 v1.1 XXL encoder model.
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The weights can be used with [`./llama-embedding`](https://github.com/ggerganov/llama.cpp/tree/master/examples/embedding) or with the [ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF) custom node together with image generation models.
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This is a **non imatrix** quant as llama.cpp doesn't support imatrix creation for T5 models at the time of writing. It's therefore recommended to use **Q5_K_M or larger** for the best results, although smaller models may also still provide decent results in resource constrained scenarios.
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