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EXAONE-3.5-2.4B-Instruct-Llamafied-GGUF

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metadata
license: other
license_name: exaone
license_link: https://huggingface.co/LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct/blob/main/LICENSE
language:
  - en
  - ko
tags:
  - lg-ai
  - exaone
  - exaone-3.5
  - TensorBlock
  - GGUF
pipeline_tag: text-generation
library_name: transformers
base_model: beomi/EXAONE-3.5-2.4B-Instruct-Llamafied
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beomi/EXAONE-3.5-2.4B-Instruct-Llamafied - GGUF

This repo contains GGUF format model files for beomi/EXAONE-3.5-2.4B-Instruct-Llamafied.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4242.

Prompt template 

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

Model file specification

Filename Quant type File Size Description
EXAONE-3.5-2.4B-Instruct-Llamafied-Q2_K.gguf Q2_K 1.096 GB smallest, significant quality loss - not recommended for most purposes
EXAONE-3.5-2.4B-Instruct-Llamafied-Q3_K_S.gguf Q3_K_S 1.253 GB very small, high quality loss
EXAONE-3.5-2.4B-Instruct-Llamafied-Q3_K_M.gguf Q3_K_M 1.362 GB very small, high quality loss
EXAONE-3.5-2.4B-Instruct-Llamafied-Q3_K_L.gguf Q3_K_L 1.459 GB small, substantial quality loss
EXAONE-3.5-2.4B-Instruct-Llamafied-Q4_0.gguf Q4_0 1.573 GB legacy; small, very high quality loss - prefer using Q3_K_M
EXAONE-3.5-2.4B-Instruct-Llamafied-Q4_K_S.gguf Q4_K_S 1.580 GB small, greater quality loss
EXAONE-3.5-2.4B-Instruct-Llamafied-Q4_K_M.gguf Q4_K_M 1.645 GB medium, balanced quality - recommended
EXAONE-3.5-2.4B-Instruct-Llamafied-Q5_0.gguf Q5_0 1.873 GB legacy; medium, balanced quality - prefer using Q4_K_M
EXAONE-3.5-2.4B-Instruct-Llamafied-Q5_K_S.gguf Q5_K_S 1.873 GB large, low quality loss - recommended
EXAONE-3.5-2.4B-Instruct-Llamafied-Q5_K_M.gguf Q5_K_M 1.911 GB large, very low quality loss - recommended
EXAONE-3.5-2.4B-Instruct-Llamafied-Q6_K.gguf Q6_K 2.193 GB very large, extremely low quality loss
EXAONE-3.5-2.4B-Instruct-Llamafied-Q8_0.gguf Q8_0 2.839 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-3.5-2.4B-Instruct-Llamafied-GGUF --include "EXAONE-3.5-2.4B-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-3.5-2.4B-Instruct-Llamafied-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'