EXAONE-3.5-32B-Instruct-Llamafied-GGUF

tensorblock/EXAONE-3.5-32B-Instruct-Llamafied-GGUF

EXAONE-3.5-32B-Instruct-Llamafied-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

1% of all-time downloads

All-time downloads

Public

Repo size

241 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.gguf11.9 GB · 100%

At a glance

Task: Text Generation
Library: transformers
License: other
Access: Public
Created: Mar 8, 2025
Updated: Jan 27, 2026
SHA: 626a3c0e

Try a prompt

Base models

beomi/EXAONE-3.5-32B-Instruct-Llamafied

Model card

From the Hugging Face model README

beomi/EXAONE-3.5-32B-Instruct-Llamafied - GGUF

This repo contains GGUF format model files for beomi/EXAONE-3.5-32B-Instruct-Llamafied.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4823.

Our projects

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[|system|]{system_prompt}[|endofturn|]
[|user|]{prompt}
[|assistant|]

Model file specification

Filename	Quant type	File Size	Description
EXAONE-3.5-32B-Instruct-Llamafied-Q2_K.gguf	Q2_K	11.926 GB	smallest, significant quality loss - not recommended for most purposes
EXAONE-3.5-32B-Instruct-Llamafied-Q3_K_S.gguf	Q3_K_S	13.963 GB	very small, high quality loss
EXAONE-3.5-32B-Instruct-Llamafied-Q3_K_M.gguf	Q3_K_M	15.494 GB	very small, high quality loss
EXAONE-3.5-32B-Instruct-Llamafied-Q3_K_L.gguf	Q3_K_L	16.796 GB	small, substantial quality loss
EXAONE-3.5-32B-Instruct-Llamafied-Q4_0.gguf	Q4_0	18.143 GB	legacy; small, very high quality loss - prefer using Q3_K_M
EXAONE-3.5-32B-Instruct-Llamafied-Q4_K_S.gguf	Q4_K_S	18.286 GB	small, greater quality loss
EXAONE-3.5-32B-Instruct-Llamafied-Q4_K_M.gguf	Q4_K_M	19.344 GB	medium, balanced quality - recommended
EXAONE-3.5-32B-Instruct-Llamafied-Q5_0.gguf	Q5_0	22.078 GB	legacy; medium, balanced quality - prefer using Q4_K_M
EXAONE-3.5-32B-Instruct-Llamafied-Q5_K_S.gguf	Q5_K_S	22.078 GB	large, low quality loss - recommended
EXAONE-3.5-32B-Instruct-Llamafied-Q5_K_M.gguf	Q5_K_M	22.697 GB	large, very low quality loss - recommended
EXAONE-3.5-32B-Instruct-Llamafied-Q6_K.gguf	Q6_K	26.259 GB	very large, extremely low quality loss
EXAONE-3.5-32B-Instruct-Llamafied-Q8_0.gguf	Q8_0	34.010 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/EXAONE-3.5-32B-Instruct-Llamafied-GGUF --include "EXAONE-3.5-32B-Instruct-Llamafied-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/EXAONE-3.5-32B-Instruct-Llamafied-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'

Task: Text Generation
Library: transformers
License: other
Languages: en, ko
Created: Mar 8, 2025
Updated: Jan 27, 2026