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EuroLLM 1.7B Instruct by utter-project

 »  All LLMs  »  utter-project  »  EuroLLM 1.7B Instruct   URL Share it on

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Model Card on HF 🤗: https://huggingface.co/utter-project/EuroLLM-1.7B-Instruct 

EuroLLM 1.7B Instruct Benchmarks

LLME Score: 0.29596
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 Instruct (utter-project/EuroLLM-1.7B-Instruct)

EuroLLM 1.7B Instruct Parameters and Internals

Model Type 
instruction tuned multilingual transformer LLM
Additional Notes 
Model is an instruction-tuned version focusing on translation and general instructions.
Supported Languages 
Bulgarian (NLP), Croatian (NLP), Czech (NLP), Danish (NLP), Dutch (NLP), English (NLP), Estonian (NLP), Finnish (NLP), French (NLP), German (NLP), Greek (NLP), Hungarian (NLP), Irish (NLP), Italian (NLP), Latvian (NLP), Lithuanian (NLP), Maltese (NLP), Polish (NLP), Portuguese (NLP), Romanian (NLP), Slovak (NLP), Slovenian (NLP), Spanish (NLP), Swedish (NLP), Arabic (NLP), Catalan (NLP), Chinese (NLP), Galician (NLP), Hindi (NLP), Japanese (NLP), Korean (NLP), Norwegian (NLP), Russian (NLP), Turkish (NLP), Ukrainian (NLP)
Training Details 
Data Sources:
Web data, parallel data, high-quality datasets
Data Volume:
4 trillion tokens
Methodology:
Instruction tuning on EuroBlocks focused on general instruction-following and machine translation
Hardware Used:
256 Nvidia H100 GPUs
Model Architecture:
Standard dense Transformer with grouped query attention, pre-layer normalization, RMSNorm, SwiGLU activation, and RoPE positional embeddings
LLM NameEuroLLM 1.7B Instruct
Repository 🤗https://huggingface.co/utter-project/EuroLLM-1.7B-Instruct 
Base Model(s)  utter-project/EuroLLM-1.7B   utter-project/EuroLLM-1.7B
Model Size1b
Required VRAM3.3 GB
Updated2024-12-08
Maintainerutter-project
Model Typellama
Instruction-BasedYes
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 Version4.44.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size128000
Torch Data Typebfloat16

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

Rank the EuroLLM 1.7B Instruct 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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