What are the hardware requirements for EXAONE 4.0 1.2B?

EXAONE 4.0 1.2B requires approximately 2.6 GB of VRAM and supports a context window of 64K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed EXAONE 4.0 1.2B and how large is it?

EXAONE 4.0 1.2B is developed by LGAI-EXAONE, a model with 1.2b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate EXAONE 4.0 1.2B?

EXAONE 4.0 1.2B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

EXAONE 4.0 1.2B by LGAI-EXAONE — VRAM 2.6GB, 64K context

Name: EXAONE 4.0 1.2B
Author: LGAI-EXAONE

EXAONE 4.0 1.2B is an open-source language model by LGAI-EXAONE. Features: 1.2b LLM, VRAM: 2.6GB, Context: 64K, License: other, LLM Explorer Score: 0.26.

Arxiv:2507.11407 Conversational En Endpoints compatible Es Exaone Exaone-4.0 Exaone4 Ko Lg-ai Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/LGAI-EXAONE/EXAONE-4.0-1.2B

EXAONE 4.0 1.2B Parameters and Internals

LLM Name	EXAONE 4.0 1.2B
Repository 🤗	https://huggingface.co/LGAI-EXAONE/EXAONE-4.0-1.2B
Model Size	1.2b
Required VRAM	2.6 GB
Updated	2026-07-30
Maintainer	LGAI-EXAONE
Model Type	exaone4
Model Files	2.6 GB
Supported Languages	en ko es
Model Architecture	Exaone4ForCausalLM
License	other
Context Length	65536
Model Max Length	65536
Transformers Version	4.54.0
Tokenizer Class	GPT2Tokenizer
Padding Token	[PAD]
Vocabulary Size	102400
Torch Data Type	bfloat16
Errors	replace

Rank the EXAONE 4.0 1.2B capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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...ui EXAONE 4.0 1.2B Abliterated	64K / 2.6 GB	8	2