tensorblock/Tinypus-1.5B-GGUF

Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server

Ba2han/Tinypus-1.5B - GGUF

This repo contains GGUF format model files for Ba2han/Tinypus-1.5B.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4242.

<|system|>
{system_prompt}</s>
<|user|>
{prompt}</s>
<|assistant|>

Filename	Quant type	File Size	Description
Tinypus-1.5B-Q2_K.gguf	Q2_K	0.562 GB	smallest, significant quality loss - not recommended for most purposes
Tinypus-1.5B-Q3_K_S.gguf	Q3_K_S	0.651 GB	very small, high quality loss
Tinypus-1.5B-Q3_K_M.gguf	Q3_K_M	0.717 GB	very small, high quality loss
Tinypus-1.5B-Q3_K_L.gguf	Q3_K_L	0.777 GB	small, substantial quality loss
Tinypus-1.5B-Q4_0.gguf	Q4_0	0.835 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Tinypus-1.5B-Q4_K_S.gguf	Q4_K_S	0.840 GB	small, greater quality loss
Tinypus-1.5B-Q4_K_M.gguf	Q4_K_M	0.879 GB	medium, balanced quality - recommended
Tinypus-1.5B-Q5_0.gguf	Q5_0	1.008 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Tinypus-1.5B-Q5_K_S.gguf	Q5_K_S	1.008 GB	large, low quality loss - recommended
Tinypus-1.5B-Q5_K_M.gguf	Q5_K_M	1.031 GB	large, very low quality loss - recommended
Tinypus-1.5B-Q6_K.gguf	Q6_K	1.193 GB	very large, extremely low quality loss
Tinypus-1.5B-Q8_0.gguf	Q8_0	1.544 GB	very large, extremely low quality loss - not recommended

Firstly, install Huggingface Client

pip install -U "huggingface_hub[cli]"

Then, downoad the individual model file the a local directory

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