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jieunhan/TEST_MODEL - GGUF

This repo contains GGUF format model files for jieunhan/TEST_MODEL.

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

Prompt template

<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant

Model file specification

Filename Quant type File Size Description
TEST_MODEL-Q2_K.gguf Q2_K 6.620 GB smallest, significant quality loss - not recommended for most purposes
TEST_MODEL-Q3_K_S.gguf Q3_K_S 7.772 GB very small, high quality loss
TEST_MODEL-Q3_K_M.gguf Q3_K_M 8.636 GB very small, high quality loss
TEST_MODEL-Q3_K_L.gguf Q3_K_L 9.368 GB small, substantial quality loss
TEST_MODEL-Q4_0.gguf Q4_0 10.134 GB legacy; small, very high quality loss - prefer using Q3_K_M
TEST_MODEL-Q4_K_S.gguf Q4_K_S 10.218 GB small, greater quality loss
TEST_MODEL-Q4_K_M.gguf Q4_K_M 10.835 GB medium, balanced quality - recommended
TEST_MODEL-Q5_0.gguf Q5_0 12.357 GB legacy; medium, balanced quality - prefer using Q4_K_M
TEST_MODEL-Q5_K_S.gguf Q5_K_S 12.357 GB large, low quality loss - recommended
TEST_MODEL-Q5_K_M.gguf Q5_K_M 12.718 GB large, very low quality loss - recommended
TEST_MODEL-Q6_K.gguf Q6_K 14.718 GB very large, extremely low quality loss
TEST_MODEL-Q8_0.gguf Q8_0 19.062 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/TEST_MODEL-GGUF --include "TEST_MODEL-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/TEST_MODEL-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
225
GGUF
Model size
19.3B params
Architecture
llama

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