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base_model: TinyPixel/elm-test
tags:
  - TensorBlock
  - GGUF
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TinyPixel/elm-test - GGUF

This repo contains GGUF format model files for TinyPixel/elm-test.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b5165.

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Prompt template

Unable to determine prompt format automatically. Please check the original model repository for the correct prompt format.

Model file specification

Filename Quant type File Size Description
elm-test-Q2_K.gguf Q2_K 2.533 GB smallest, significant quality loss - not recommended for most purposes
elm-test-Q3_K_S.gguf Q3_K_S 2.948 GB very small, high quality loss
elm-test-Q3_K_M.gguf Q3_K_M 3.298 GB very small, high quality loss
elm-test-Q3_K_L.gguf Q3_K_L 3.597 GB small, substantial quality loss
elm-test-Q4_0.gguf Q4_0 3.826 GB legacy; small, very high quality loss - prefer using Q3_K_M
elm-test-Q4_K_S.gguf Q4_K_S 3.857 GB small, greater quality loss
elm-test-Q4_K_M.gguf Q4_K_M 4.081 GB medium, balanced quality - recommended
elm-test-Q5_0.gguf Q5_0 4.652 GB legacy; medium, balanced quality - prefer using Q4_K_M
elm-test-Q5_K_S.gguf Q5_K_S 4.652 GB large, low quality loss - recommended
elm-test-Q5_K_M.gguf Q5_K_M 4.783 GB large, very low quality loss - recommended
elm-test-Q6_K.gguf Q6_K 5.529 GB very large, extremely low quality loss
elm-test-Q8_0.gguf Q8_0 7.161 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/TinyPixel_elm-test-GGUF --include "elm-test-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/TinyPixel_elm-test-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'