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tensorblock/DeepScaleR-1.5B-Preview-GGUF

sourceHugging Facemitupdated 8mo agoView on Hugging Face
1likes134downloads
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unsloth/DeepScaleR-1.5B-Preview - GGUF

This repo contains GGUF format model files for unsloth/DeepScaleR-1.5B-Preview.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4823.

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Prompt template

Model file specification

FilenameQuant typeFile SizeDescription
DeepScaleR-1.5B-Preview-Q2_K.ggufQ2_K0.753 GBsmallest, significant quality loss - not recommended for most purposes
DeepScaleR-1.5B-Preview-Q3_K_S.ggufQ3KS0.861 GBvery small, high quality loss
DeepScaleR-1.5B-Preview-Q3_K_M.ggufQ3KM0.924 GBvery small, high quality loss
DeepScaleR-1.5B-Preview-Q3_K_L.ggufQ3KL0.980 GBsmall, substantial quality loss
DeepScaleR-1.5B-Preview-Q4_0.ggufQ4_01.066 GBlegacy; small, very high quality loss - prefer using Q3KM
DeepScaleR-1.5B-Preview-Q4_K_S.ggufQ4KS1.072 GBsmall, greater quality loss
DeepScaleR-1.5B-Preview-Q4_K_M.ggufQ4KM1.117 GBmedium, balanced quality - recommended
DeepScaleR-1.5B-Preview-Q5_0.ggufQ5_01.259 GBlegacy; medium, balanced quality - prefer using Q4KM
DeepScaleR-1.5B-Preview-Q5_K_S.ggufQ5KS1.259 GBlarge, low quality loss - recommended
DeepScaleR-1.5B-Preview-Q5_K_M.ggufQ5KM1.285 GBlarge, very low quality loss - recommended
DeepScaleR-1.5B-Preview-Q6_K.ggufQ6_K1.464 GBvery large, extremely low quality loss
DeepScaleR-1.5B-Preview-Q8_0.ggufQ8_01.895 GBvery large, extremely low quality loss - not recommended

Downloading instruction

Command line

Firstly, install Huggingface Client

shell
pip install -U "huggingface_hub[cli]"

Then, downoad the individual model file the a local directory

shell
huggingface-cli download tensorblock/DeepScaleR-1.5B-Preview-GGUF --include "DeepScaleR-1.5B-Preview-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:

shell
huggingface-cli download tensorblock/DeepScaleR-1.5B-Preview-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'