What are the hardware requirements for EXAONE 3.0 7.8B Instruct Llamafied 8K?

EXAONE 3.0 7.8B Instruct Llamafied 8K requires approximately 31.2 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed EXAONE 3.0 7.8B Instruct Llamafied 8K and how large is it?

EXAONE 3.0 7.8B Instruct Llamafied 8K is developed by CarrotAI, a model with 7.8b 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 3.0 7.8B Instruct Llamafied 8K?

EXAONE 3.0 7.8B Instruct Llamafied 8K is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

EXAONE 3.0 7.8B Instruct Llamafied 8K by CarrotAI — VRAM 31.2GB, 8K context

Name: EXAONE 3.0 7.8B Instruct Llamafied 8K
Author: CarrotAI

EXAONE 3.0 7.8B Instruct Llamafied 8K is an open-source language model by CarrotAI. Features: 7.8b LLM, VRAM: 31.2GB, Context: 8K, License: other, Instruction-Based, LLM Explorer Score: 0.14.

Ext 8k Instruct Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/CarrotAI/EXAONE-3.0-7.8B-Instruct-Llamafied-8k

EXAONE 3.0 7.8B Instruct Llamafied 8K Parameters and Internals

Model Type

causal language model

LLM Name	EXAONE 3.0 7.8B Instruct Llamafied 8K
Repository 🤗	https://huggingface.co/CarrotAI/EXAONE-3.0-7.8B-Instruct-Llamafied-8k
Model Size	7.8b
Required VRAM	31.2 GB
Updated	2026-08-25
Maintainer	CarrotAI
Model Type	llama
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-7 5.0 GB: 2-of-7 5.0 GB: 3-of-7 4.8 GB: 4-of-7 5.0 GB: 5-of-7 4.8 GB: 6-of-7 1.7 GB: 7-of-7
Context Length	8k
Model Architecture	LlamaForCausalLM
License	other
Context Length	8192
Model Max Length	8192
Transformers Version	4.43.3
Tokenizer Class	GPT2Tokenizer
Padding Token	[PAD]
Vocabulary Size	102400
Torch Data Type	float32

Rank the EXAONE 3.0 7.8B Instruct Llamafied 8K 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 3.0 7.8B Instruct Llamafied 8K

Best Alternatives	Context / RAM	Downloads	Likes
...NE 3.5 7.8B Instruct Llamafied	32K / 15.6 GB	69	5
...NE 3.0 7.8B Instruct Converted	4K / 31.2 GB	20	1
...NE 3.0 7.8B Instruct Converted	4K / 31.2 GB	9	1

Note: green Score (e.g. "73.2") means that the model is better than CarrotAI/EXAONE-3.0-7.8B-Instruct-Llamafied-8k.