What are the hardware requirements for EuroLLM 22B Instruct 2512 Mlx 8bit?

EuroLLM 22B Instruct 2512 Mlx 8bit requires approximately 24.1 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 Mlx 8bit and how large is it?

EuroLLM 22B Instruct 2512 Mlx 8bit is developed by mlx-community, 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 Mlx 8bit?

EuroLLM 22B Instruct 2512 Mlx 8bit 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 Mlx 8bit by mlx-community — VRAM 24.1GB, 32K context

Name: EuroLLM 22B Instruct 2512 Mlx 8bit
Author: mlx-community

EuroLLM 22B Instruct 2512 Mlx 8bit is an open-source language model by mlx-community. Features: 22b LLM, VRAM: 24.1GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.22.

8-bit 8bit Ar Base model:quantized:utter-pro... Base model:utter-project/eurol... Bg Ca Conversational Cs Da De El En Endpoints compatible Es Et Fi Fr Ga Gl Hi Hr Hu Instruct It Ja Ko Llama Lt Lv Mlx Mt Nl No Pl Pt Quantized Region:us Ro Ru Safetensors Sharded Sk Sl Sv Tensorflow Tr Translation Uk Zh

Model Card on HF 🤗: https://huggingface.co/mlx-community/EuroLLM-22B-Instruct-2512-mlx-8bit

EuroLLM 22B Instruct 2512 Mlx 8bit Parameters and Internals

LLM Name	EuroLLM 22B Instruct 2512 Mlx 8bit
Repository 🤗	https://huggingface.co/mlx-community/EuroLLM-22B-Instruct-2512-mlx-8bit
Base Model(s)	EuroLLM 22B Instruct 2512 utter-project/EuroLLM-22B-Instruct-2512
Model Size	22b
Required VRAM	24.1 GB
Updated	2026-08-10
Maintainer	mlx-community
Model Type	llama
Instruction-Based	Yes
Model Files	5.3 GB: 1-of-5 5.3 GB: 2-of-5 5.3 GB: 3-of-5 5.3 GB: 4-of-5 2.9 GB: 5-of-5
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
Quantization Type	8bit
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 Mlx 8bit 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

Best Alternatives to EuroLLM 22B Instruct 2512 Mlx 8bit

Best Alternatives	Context / RAM	Downloads	Likes
...LLM 22B Instruct 2512 Mlx 4bit	32K / 12.7 GB	127	3
EuroLLM 22B Instruct 2512	32K / 45.5 GB	3342	63
Ypotryll 22B Gptq	4K / 12 GB	9	1
EuroLLM 22B Instruct Preview	4K / 45.5 GB	2385	8

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/EuroLLM-22B-Instruct-2512-mlx-8bit.