What are the hardware requirements for EuroLLM 22B Instruct 2512?

EuroLLM 22B Instruct 2512 requires approximately 45.5 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 EuroLLM 22B Instruct 2512 and how large is it?

EuroLLM 22B Instruct 2512 is developed by utter-project, a model with 22b 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 EuroLLM 22B Instruct 2512?

EuroLLM 22B Instruct 2512 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

EuroLLM 22B Instruct 2512 by utter-project — VRAM 45.5GB, 32K context

Name: EuroLLM 22B Instruct 2512
Author: utter-project

EuroLLM 22B Instruct 2512 is an open-source language model by utter-project. Features: 22b LLM, VRAM: 45.5GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.25.

Arxiv:2602.05879 Ar Base model:finetune:utter-proj... Base model:utter-project/eurol... Bg Ca Conversational Cs Da De Deploy:azure El En Endpoints compatible Es Et Fi Fr Ga Gl Hi Hr Hu Instruct It Ja Ko Llama Lt Lv 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/EuroLLM-22B-Instruct-2512

EuroLLM 22B Instruct 2512 Parameters and Internals

LLM Name	EuroLLM 22B Instruct 2512
Repository 🤗	https://huggingface.co/utter-project/EuroLLM-22B-Instruct-2512
Base Model(s)	EuroLLM 22B 2512 utter-project/EuroLLM-22B-2512
Model Size	22b
Required VRAM	45.5 GB
Updated	2026-04-17
Maintainer	utter-project
Model Type	llama
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-10 4.9 GB: 2-of-10 4.9 GB: 3-of-10 5.0 GB: 4-of-10 5.0 GB: 5-of-10 4.9 GB: 6-of-10 5.0 GB: 7-of-10 5.0 GB: 8-of-10 4.3 GB: 9-of-10 1.6 GB: 10-of-10
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	LlamaForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.51.3
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	128000
Torch Data Type	bfloat16

Rank the EuroLLM 22B 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

Quantized Models of the EuroLLM 22B Instruct 2512

Model	Likes	Downloads	VRAM
...LLM 22B Instruct 2512 Mlx 4bit	3	127	12 GB
...LLM 22B Instruct 2512 Mlx 8bit	1	53	24 GB

Best Alternatives to EuroLLM 22B Instruct 2512

Best Alternatives	Context / RAM	Downloads	Likes
EuroLLM 22B Instruct Preview	4K / 45.5 GB	2385	8
...LLM 22B Instruct 2512 Mlx 4bit	32K / 12.7 GB	127	3
...LLM 22B Instruct 2512 Mlx 8bit	32K / 24.1 GB	53	1
Ypotryll 22B Gptq	4K / 12 GB	9	1