Llama-3.2-1B-GGUF

tensorblock/Llama-3.2-1B-GGUF

Llama-3.2-1B-GGUF is a text generation model from tensorblock. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as llama3.2.

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Downloads · 30 days

219

6% of all-time downloads

All-time downloads

3.9K

Public

Repo size

30.1 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.gguf1.3 GB · 100%

At a glance

Task: Text Generation
Library: transformers
License: llama3.2
Access: Public
Created: Nov 11, 2024
Updated: Jan 27, 2026
SHA: ae00bc2f

Try a prompt

Base models

alpindale/Llama-3.2-1B

Model card

From the Hugging Face model README

alpindale/Llama-3.2-1B - GGUF

This repo contains GGUF format model files for alpindale/Llama-3.2-1B.

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

Our projects

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Model file specification

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

Task: Text Generation
Library: transformers
License: llama3.2
Languages: en, de, fr, it, pt, hi
Created: Nov 11, 2024
Updated: Jan 27, 2026