What are the hardware requirements for EXAONE 3.5 2.4B Instruct Llamafied?

EXAONE 3.5 2.4B Instruct Llamafied requires approximately 5.3 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed EXAONE 3.5 2.4B Instruct Llamafied and how large is it?

EXAONE 3.5 2.4B Instruct Llamafied is developed by beomi, a model with 2.4b 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 3.5 2.4B Instruct Llamafied?

EXAONE 3.5 2.4B Instruct Llamafied is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

EXAONE 3.5 2.4B Instruct Llamafied by beomi — VRAM 5.3GB, 32K context

Name: EXAONE 3.5 2.4B Instruct Llamafied
Author: beomi

EXAONE 3.5 2.4B Instruct Llamafied is an open-source language model by beomi. Features: 2.4b LLM, VRAM: 5.3GB, Context: 32K, License: other, Instruction-Based, LLM Explorer Score: 0.17.

Conversational Deploy:azure En Endpoints compatible Exaone Exaone-3.5 Instruct Ko Lg-ai Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/beomi/EXAONE-3.5-2.4B-Instruct-Llamafied

EXAONE 3.5 2.4B Instruct Llamafied Parameters and Internals

LLM Name	EXAONE 3.5 2.4B Instruct Llamafied
Repository 🤗	https://huggingface.co/beomi/EXAONE-3.5-2.4B-Instruct-Llamafied
Model Size	2.4b
Required VRAM	5.3 GB
Updated	2026-08-07
Maintainer	beomi
Model Type	llama
Instruction-Based	Yes
Model Files	4.8 GB: 1-of-2 0.5 GB: 2-of-2
Supported Languages	en ko
Model Architecture	LlamaForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.47.0
Tokenizer Class	GPT2Tokenizer
Padding Token	[PAD]
Vocabulary Size	102400
Torch Data Type	bfloat16

Rank the EXAONE 3.5 2.4B Instruct Llamafied capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to EXAONE 3.5 2.4B Instruct Llamafied

Best Alternatives	Context / RAM	Downloads	Likes
YuLan Mini Instruct	28K / 4.8 GB	220	8
Tucano 2b4 Instruct	4K / 9.8 GB	1914	7

Note: green Score (e.g. "73.2") means that the model is better than beomi/EXAONE-3.5-2.4B-Instruct-Llamafied.