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EuroLLM 1.7B by utter-project

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EuroLLM 1.7B is an open-source language model by utter-project. Features: 1.7b LLM, VRAM: 3.3GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.2.

  Arxiv:2409.16235   Ar   Bg   Ca   Cs   Da   De   El   En   Endpoints compatible   Es   Et   Fi   Fr   Ga   Gl   Hi   Hr   Hu   It   Ja   Ko   Llama   Lt   Lv   Mt   Nl   No   Pl   Pt   Pytorch   Region:us   Ro   Ru   Sk   Sl   Sv   Tr   Uk   Zh
Model Card on HF 🤗: https://huggingface.co/utter-project/EuroLLM-1.7B 

EuroLLM 1.7B Benchmarks

LLME Score: 0.20481
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
EuroLLM 1.7B (utter-project/EuroLLM-1.7B)
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EuroLLM 1.7B Parameters and Internals

LLM NameEuroLLM 1.7B
Repository 🤗https://huggingface.co/utter-project/EuroLLM-1.7B 
Model Size1.7b
Required VRAM3.3 GB
Updated2026-04-07
Maintainerutter-project
Model Typellama
Model Files  3.3 GB
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 Length4096
Model Max Length4096
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size128000
Torch Data Typebfloat16

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Superthoughts Lite V18K / 3.4 GB123
Note: green Score (e.g. "73.2") means that the model is better than utter-project/EuroLLM-1.7B.

Rank the EuroLLM 1.7B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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