What are the hardware requirements for EuroMoE 2.6B A0.6B Instruct 2512?

EuroMoE 2.6B A0.6B Instruct 2512 requires approximately 10.4 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 EuroMoE 2.6B A0.6B Instruct 2512 and how large is it?

EuroMoE 2.6B A0.6B Instruct 2512 is developed by utter-project, a model with 2.6b 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 EuroMoE 2.6B A0.6B Instruct 2512?

EuroMoE 2.6B A0.6B Instruct 2512 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

EuroMoE 2.6B A0.6B Instruct 2512 by utter-project — VRAM 10.4GB, 32K context

Name: EuroMoE 2.6B A0.6B Instruct 2512
Author: utter-project

EuroMoE 2.6B A0.6B Instruct 2512 is an open-source language model by utter-project. Features: 2.6b LLM, VRAM: 10.4GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.22.

Ar Base model:finetune:utter-proj... Base model:utter-project/eurom... Bg Ca Conversational Cs Da De El En Endpoints compatible Es Et Fi Fr Ga Gl Hi Hr Hu Instruct It Ja Ko Lt Lv Mixtral Mt Nl No Pl Pt Region:us Ro Ru Safetensors Sharded Sk Sl Sv Tensorflow Tr Uk Zh

Model Card on HF 🤗: https://huggingface.co/utter-project/EuroMoE-2.6B-A0.6B-Instruct-2512

EuroMoE 2.6B A0.6B Instruct 2512 Parameters and Internals

LLM Name	EuroMoE 2.6B A0.6B Instruct 2512
Repository 🤗	https://huggingface.co/utter-project/EuroMoE-2.6B-A0.6B-Instruct-2512
Base Model(s)	utter-project/EuroMoE-2.6B-A0.6B-2512 utter-project/EuroMoE-2.6B-A0.6B-2512
Model Size	2.6b
Required VRAM	10.4 GB
Updated	2026-08-09
Maintainer	utter-project
Model Type	mixtral
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 0.4 GB: 3-of-3
Supported Languages	en de es fr it pt pl nl tr sv cs el hu ro fi uk sl sk da lt lv et bg no ca hr ga mt gl zh ru ko ja ar hi
Model Architecture	MixtralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.57.3
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	128000

Rank the EuroMoE 2.6B A0.6B Instruct 2512 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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...oE 2.6B A0.6B Instruct Preview	4K / 5.2 GB	1764	11