tensorblock/Tianqiao_DeepSeek-7B-Math-Compare-Answer-GGUF

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Tianqiao/DeepSeek-7B-Math-Compare-Answer - GGUF

This repo contains GGUF format model files for Tianqiao/DeepSeek-7B-Math-Compare-Answer.

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
DeepSeek-7B-Math-Compare-Answer-Q2_K.gguf	Q2_K	2.707 GB	smallest, significant quality loss - not recommended for most purposes
DeepSeek-7B-Math-Compare-Answer-Q3_K_S.gguf	Q3_K_S	3.126 GB	very small, high quality loss
DeepSeek-7B-Math-Compare-Answer-Q3_K_M.gguf	Q3_K_M	3.449 GB	very small, high quality loss
DeepSeek-7B-Math-Compare-Answer-Q3_K_L.gguf	Q3_K_L	3.734 GB	small, substantial quality loss
DeepSeek-7B-Math-Compare-Answer-Q4_0.gguf	Q4_0	3.986 GB	legacy; small, very high quality loss - prefer using Q3_K_M
DeepSeek-7B-Math-Compare-Answer-Q4_K_S.gguf	Q4_K_S	4.012 GB	small, greater quality loss
DeepSeek-7B-Math-Compare-Answer-Q4_K_M.gguf	Q4_K_M	4.210 GB	medium, balanced quality - recommended
DeepSeek-7B-Math-Compare-Answer-Q5_0.gguf	Q5_0	4.797 GB	legacy; medium, balanced quality - prefer using Q4_K_M
DeepSeek-7B-Math-Compare-Answer-Q5_K_S.gguf	Q5_K_S	4.797 GB	large, low quality loss - recommended
DeepSeek-7B-Math-Compare-Answer-Q5_K_M.gguf	Q5_K_M	4.912 GB	large, very low quality loss - recommended
DeepSeek-7B-Math-Compare-Answer-Q6_K.gguf	Q6_K	5.657 GB	very large, extremely low quality loss
DeepSeek-7B-Math-Compare-Answer-Q8_0.gguf	Q8_0	7.326 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/Tianqiao_DeepSeek-7B-Math-Compare-Answer-GGUF --include "DeepSeek-7B-Math-Compare-Answer-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/Tianqiao_DeepSeek-7B-Math-Compare-Answer-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'