tensorblock/unsloth-llama-3.2-1b-tldr-unsloth-nobnb-GGUF

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

keithdrexel/unsloth-llama-3.2-1b-tldr-unsloth-nobnb - GGUF

This repo contains GGUF format model files for keithdrexel/unsloth-llama-3.2-1b-tldr-unsloth-nobnb.

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

Run them on the TensorBlock client using your local machine ↗

Prompt template

<|begin_of_text|>{system_prompt} {prompt}

Model file specification

Filename	Quant type	File Size	Description
unsloth-llama-3.2-1b-tldr-unsloth-nobnb-Q2_K.gguf	Q2_K	0.581 GB	smallest, significant quality loss - not recommended for most purposes
unsloth-llama-3.2-1b-tldr-unsloth-nobnb-Q3_K_S.gguf	Q3_K_S	0.642 GB	very small, high quality loss
unsloth-llama-3.2-1b-tldr-unsloth-nobnb-Q3_K_M.gguf	Q3_K_M	0.691 GB	very small, high quality loss
unsloth-llama-3.2-1b-tldr-unsloth-nobnb-Q3_K_L.gguf	Q3_K_L	0.733 GB	small, substantial quality loss
unsloth-llama-3.2-1b-tldr-unsloth-nobnb-Q4_0.gguf	Q4_0	0.771 GB	legacy; small, very high quality loss - prefer using Q3_K_M
unsloth-llama-3.2-1b-tldr-unsloth-nobnb-Q4_K_S.gguf	Q4_K_S	0.776 GB	small, greater quality loss
unsloth-llama-3.2-1b-tldr-unsloth-nobnb-Q4_K_M.gguf	Q4_K_M	0.808 GB	medium, balanced quality - recommended
unsloth-llama-3.2-1b-tldr-unsloth-nobnb-Q5_0.gguf	Q5_0	0.893 GB	legacy; medium, balanced quality - prefer using Q4_K_M
unsloth-llama-3.2-1b-tldr-unsloth-nobnb-Q5_K_S.gguf	Q5_K_S	0.893 GB	large, low quality loss - recommended
unsloth-llama-3.2-1b-tldr-unsloth-nobnb-Q5_K_M.gguf	Q5_K_M	0.911 GB	large, very low quality loss - recommended
unsloth-llama-3.2-1b-tldr-unsloth-nobnb-Q6_K.gguf	Q6_K	1.022 GB	very large, extremely low quality loss
unsloth-llama-3.2-1b-tldr-unsloth-nobnb-Q8_0.gguf	Q8_0	1.321 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/unsloth-llama-3.2-1b-tldr-unsloth-nobnb-GGUF --include "unsloth-llama-3.2-1b-tldr-unsloth-nobnb-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/unsloth-llama-3.2-1b-tldr-unsloth-nobnb-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'