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Vamsi/T5_Paraphrase_Paws - GGUF

This repo contains GGUF format model files for Vamsi/T5_Paraphrase_Paws.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.

Prompt template


Model file specification

Filename Quant type File Size Description
T5_Paraphrase_Paws-Q2_K.gguf Q2_K 0.088 GB smallest, significant quality loss - not recommended for most purposes
T5_Paraphrase_Paws-Q3_K_S.gguf Q3_K_S 0.099 GB very small, high quality loss
T5_Paraphrase_Paws-Q3_K_M.gguf Q3_K_M 0.109 GB very small, high quality loss
T5_Paraphrase_Paws-Q3_K_L.gguf Q3_K_L 0.118 GB small, substantial quality loss
T5_Paraphrase_Paws-Q4_0.gguf Q4_0 0.124 GB legacy; small, very high quality loss - prefer using Q3_K_M
T5_Paraphrase_Paws-Q4_K_S.gguf Q4_K_S 0.124 GB small, greater quality loss
T5_Paraphrase_Paws-Q4_K_M.gguf Q4_K_M 0.137 GB medium, balanced quality - recommended
T5_Paraphrase_Paws-Q5_0.gguf Q5_0 0.147 GB legacy; medium, balanced quality - prefer using Q4_K_M
T5_Paraphrase_Paws-Q5_K_S.gguf Q5_K_S 0.147 GB large, low quality loss - recommended
T5_Paraphrase_Paws-Q5_K_M.gguf Q5_K_M 0.153 GB large, very low quality loss - recommended
T5_Paraphrase_Paws-Q6_K.gguf Q6_K 0.171 GB very large, extremely low quality loss
T5_Paraphrase_Paws-Q8_0.gguf Q8_0 0.222 GB very large, extremely low quality loss - not recommended

Downloading instruction

Command line

Firstly, install Huggingface Client

pip install -U "huggingface_hub[cli]"

Then, downoad the individual model file the a local directory

huggingface-cli download tensorblock/T5_Paraphrase_Paws-GGUF --include "T5_Paraphrase_Paws-Q2_K.gguf" --local-dir MY_LOCAL_DIR

If you wanna download multiple model files with a pattern (e.g., *Q4_K*gguf), you can try:

huggingface-cli download tensorblock/T5_Paraphrase_Paws-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
247
GGUF
Model size
223M params
Architecture
t5

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Inference Examples
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