orca_mini_3b-GGUF

tensorblock/orca_mini_3b-GGUF

orca_mini_3b-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 cc-by-nc-sa-4.0.

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Downloads · 30 days

131

5% of all-time downloads

All-time downloads

2.9K

Public

Repo size

30.3 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.gguf4.1 GB · 100%

At a glance

Task: Text Generation
Library: transformers
License: cc-by-nc-sa-4.0
Access: Public
Created: Nov 8, 2024
Updated: Jan 27, 2026
SHA: 49a28f9d

Try a prompt

Base models

pankajmathur/orca_mini_3b

Datasets

Model card

From the Hugging Face model README

pankajmathur/orca_mini_3b - GGUF

This repo contains GGUF format model files for pankajmathur/orca_mini_3b.

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

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Model file specification

Filename	Quant type	File Size	Description
orca_mini_3b-Q2_K.gguf	Q2_K	1.844 GB	smallest, significant quality loss - not recommended for most purposes
orca_mini_3b-Q3_K_S.gguf	Q3_K_S	1.844 GB	very small, high quality loss
orca_mini_3b-Q3_K_M.gguf	Q3_K_M	1.992 GB	very small, high quality loss
orca_mini_3b-Q3_K_L.gguf	Q3_K_L	2.062 GB	small, substantial quality loss
orca_mini_3b-Q4_0.gguf	Q4_0	1.844 GB	legacy; small, very high quality loss - prefer using Q3_K_M
orca_mini_3b-Q4_K_S.gguf	Q4_K_S	2.238 GB	small, greater quality loss
orca_mini_3b-Q4_K_M.gguf	Q4_K_M	2.403 GB	medium, balanced quality - recommended
orca_mini_3b-Q5_0.gguf	Q5_0	2.231 GB	legacy; medium, balanced quality - prefer using Q4_K_M
orca_mini_3b-Q5_K_S.gguf	Q5_K_S	2.424 GB	large, low quality loss - recommended
orca_mini_3b-Q5_K_M.gguf	Q5_K_M	2.568 GB	large, very low quality loss - recommended
orca_mini_3b-Q6_K.gguf	Q6_K	3.392 GB	very large, extremely low quality loss
orca_mini_3b-Q8_0.gguf	Q8_0	3.392 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/orca_mini_3b-GGUF --include "orca_mini_3b-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/orca_mini_3b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'

Task: Text Generation
Library: transformers
License: cc-by-nc-sa-4.0
Languages: en
Created: Nov 8, 2024
Updated: Jan 27, 2026