EuroLLM 9B Instruct 2512 by utter-project

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EuroLLM 9B Instruct 2512 is an open-source language model by utter-project. Features: 9b LLM, VRAM: 18.3GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.29.

  Arxiv:2602.05879   Ar Base model:finetune:utter-proj... 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   Mt   Nl   No   Pl   Pt   Region:us   Ro   Ru   Safetensors   Sharded   Sk   Sl   Sv   Tensorflow   Tr   Uk   Zh

EuroLLM 9B Instruct 2512 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

EuroLLM 9B Instruct 2512 Parameters and Internals

LLM NameEuroLLM 9B Instruct 2512
Repository 🤗https://huggingface.co/utter-project/EuroLLM-9B-Instruct-2512 
Base Model(s)  utter-project/EuroLLM-9B-2512   utter-project/EuroLLM-9B-2512
Model Size9b
Required VRAM18.3 GB
Updated2026-05-21
Maintainerutter-project
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   3.3 GB: 4-of-4
Supported Languagesen 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 ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.55.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size128000
Torch Data Typebfloat16

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Rank the EuroLLM 9B 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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Release v20260328a