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realtreetune/deepseekmath-7b-sft-MATH-v2 - GGUF

This repo contains GGUF format model files for realtreetune/deepseekmath-7b-sft-MATH-v2.

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
deepseekmath-7b-sft-MATH-v2-Q2_K.gguf Q2_K 2.532 GB smallest, significant quality loss - not recommended for most purposes
deepseekmath-7b-sft-MATH-v2-Q3_K_S.gguf Q3_K_S 2.923 GB very small, high quality loss
deepseekmath-7b-sft-MATH-v2-Q3_K_M.gguf Q3_K_M 3.223 GB very small, high quality loss
deepseekmath-7b-sft-MATH-v2-Q3_K_L.gguf Q3_K_L 3.489 GB small, substantial quality loss
deepseekmath-7b-sft-MATH-v2-Q4_0.gguf Q4_0 3.725 GB legacy; small, very high quality loss - prefer using Q3_K_M
deepseekmath-7b-sft-MATH-v2-Q4_K_S.gguf Q4_K_S 3.749 GB small, greater quality loss
deepseekmath-7b-sft-MATH-v2-Q4_K_M.gguf Q4_K_M 3.933 GB medium, balanced quality - recommended
deepseekmath-7b-sft-MATH-v2-Q5_0.gguf Q5_0 4.481 GB legacy; medium, balanced quality - prefer using Q4_K_M
deepseekmath-7b-sft-MATH-v2-Q5_K_S.gguf Q5_K_S 4.481 GB large, low quality loss - recommended
deepseekmath-7b-sft-MATH-v2-Q5_K_M.gguf Q5_K_M 4.588 GB large, very low quality loss - recommended
deepseekmath-7b-sft-MATH-v2-Q6_K.gguf Q6_K 5.284 GB very large, extremely low quality loss
deepseekmath-7b-sft-MATH-v2-Q8_0.gguf Q8_0 6.842 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/deepseekmath-7b-sft-MATH-v2-GGUF --include "deepseekmath-7b-sft-MATH-v2-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/deepseekmath-7b-sft-MATH-v2-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
18
GGUF
Model size
6.91B params
Architecture
llama

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5-bit

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Inference API
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