nvidia_Minitron-4B-Base-GGUF

tensorblock/nvidia_Minitron-4B-Base-GGUF

nvidia_Minitron-4B-Base-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 other.

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Downloads · 30 days

241

15% of all-time downloads

All-time downloads

1.6K

Public

Repo size

33.6 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.gguf1.9 GB · 100%

At a glance

Task: Text Generation
Library: transformers
License: other
Access: Public
Created: Apr 29, 2025
Updated: Jan 27, 2026
SHA: 0c17d713

Try a prompt

Base models

nvidia/Minitron-4B-Base

Model card

From the Hugging Face model README

nvidia/Minitron-4B-Base - GGUF

This repo contains GGUF format model files for nvidia/Minitron-4B-Base.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b5165.

Our projects

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Prompt template

Unable to determine prompt format automatically. Please check the original model repository for the correct prompt format.

Model file specification

Filename	Quant type	File Size	Description
Minitron-4B-Base-Q2_K.gguf	Q2_K	1.903 GB	smallest, significant quality loss - not recommended for most purposes
Minitron-4B-Base-Q3_K_S.gguf	Q3_K_S	2.116 GB	very small, high quality loss
Minitron-4B-Base-Q3_K_M.gguf	Q3_K_M	2.297 GB	very small, high quality loss
Minitron-4B-Base-Q3_K_L.gguf	Q3_K_L	2.453 GB	small, substantial quality loss
Minitron-4B-Base-Q4_0.gguf	Q4_0	2.568 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Minitron-4B-Base-Q4_K_S.gguf	Q4_K_S	2.583 GB	small, greater quality loss
Minitron-4B-Base-Q4_K_M.gguf	Q4_K_M	2.697 GB	medium, balanced quality - recommended
Minitron-4B-Base-Q5_0.gguf	Q5_0	2.993 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Minitron-4B-Base-Q5_K_S.gguf	Q5_K_S	2.993 GB	large, low quality loss - recommended
Minitron-4B-Base-Q5_K_M.gguf	Q5_K_M	3.060 GB	large, very low quality loss - recommended
Minitron-4B-Base-Q6_K.gguf	Q6_K	3.445 GB	very large, extremely low quality loss
Minitron-4B-Base-Q8_0.gguf	Q8_0	4.460 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/nvidia_Minitron-4B-Base-GGUF --include "Minitron-4B-Base-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/nvidia_Minitron-4B-Base-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'

Task: Text Generation
Library: transformers
License: other
Languages: en
Created: Apr 29, 2025
Updated: Jan 27, 2026