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tensorblock/
masani_SFT_gsm8k_Llama-3.2-3B_epoch_1_global_step_29-GGUF

Name: masani_SFT_gsm8k_Llama-3.2-3B_epoch_1_global_step_29-GGUF
Availability: InStock

masani/SFT_gsm8k_Llama-3.2-3B_epoch_1_global_step_29

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masani/SFT_gsm8k_Llama-3.2-3B_epoch_1_global_step_29 - GGUF

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This repo contains GGUF format model files for masani/SFT_gsm8k_Llama-3.2-3B_epoch_1_global_step_29.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b5753.

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Prompt template

system: {system_prompt}
user: {prompt}
assistant:

Model file specification

Filename	Quant type	File Size	Description
SFT_gsm8k_Llama-3.2-3B_epoch_1_global_step_29-Q2_K.gguf	Q2_K	1.364 GB	smallest, significant quality loss - not recommended for most purposes
SFT_gsm8k_Llama-3.2-3B_epoch_1_global_step_29-Q3_K_S.gguf	Q3_K_S	1.543 GB	very small, high quality loss
SFT_gsm8k_Llama-3.2-3B_epoch_1_global_step_29-Q3_K_M.gguf	Q3_K_M	1.687 GB	very small, high quality loss
SFT_gsm8k_Llama-3.2-3B_epoch_1_global_step_29-Q3_K_L.gguf	Q3_K_L	1.815 GB	small, substantial quality loss
SFT_gsm8k_Llama-3.2-3B_epoch_1_global_step_29-Q4_0.gguf	Q4_0	1.917 GB	legacy; small, very high quality loss - prefer using Q3_K_M
SFT_gsm8k_Llama-3.2-3B_epoch_1_global_step_29-Q4_K_S.gguf	Q4_K_S	1.928 GB	small, greater quality loss
SFT_gsm8k_Llama-3.2-3B_epoch_1_global_step_29-Q4_K_M.gguf	Q4_K_M	2.019 GB	medium, balanced quality - recommended
SFT_gsm8k_Llama-3.2-3B_epoch_1_global_step_29-Q5_0.gguf	Q5_0	2.270 GB	legacy; medium, balanced quality - prefer using Q4_K_M
SFT_gsm8k_Llama-3.2-3B_epoch_1_global_step_29-Q5_K_S.gguf	Q5_K_S	2.270 GB	large, low quality loss - recommended
SFT_gsm8k_Llama-3.2-3B_epoch_1_global_step_29-Q5_K_M.gguf	Q5_K_M	2.322 GB	large, very low quality loss - recommended
SFT_gsm8k_Llama-3.2-3B_epoch_1_global_step_29-Q6_K.gguf	Q6_K	2.644 GB	very large, extremely low quality loss
SFT_gsm8k_Llama-3.2-3B_epoch_1_global_step_29-Q8_0.gguf	Q8_0	3.422 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/masani_SFT_gsm8k_Llama-3.2-3B_epoch_1_global_step_29-GGUF --include "SFT_gsm8k_Llama-3.2-3B_epoch_1_global_step_29-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/masani_SFT_gsm8k_Llama-3.2-3B_epoch_1_global_step_29-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'