LLM EXPLORER 59,420 MODELS INDEXED

EuroLLM 1.7B Instruct by utter-project

By utter-project · 12132 downloads
HF Repo ↗ Copy URL

EuroLLM 1.7B Instruct is an open-source language model by utter-project. Features: 1b LLM, VRAM: 3.3GB, Context: 4K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.18.

  Arxiv:2409.16235   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   Sk   Sl   Sv   Tr   Uk   Zh
Model Card on HF 🤗: https://huggingface.co/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
Updated2026-07-07
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

Best Alternatives to EuroLLM 1.7B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
Llama 3.2 1B Instruct128K / 2.5 GB212072100
...1B Claude Opus Fable5 Thinking128K / 2.2 GB6165166
Llama 3.2 1B Instruct128K / 2.5 GB101146341549
LlaMa3.2 1B Instruct128K / 4.9 GB140
Llama 3.2 1B Instruct Bf16128K / 2.5 GB5105
Llama 3.2 1B Instruct128K / 2.5 GB200
Llama3.2 1B Manumit V1128K / 2.5 GB1320
...Claude Opus Fable5 V2 Thinking128K / 2.2 GB2884
Llama 3.2 Mavrick.Spark 1B128K / 2.5 GB2582
Type O1 Mini Instruct128K / 2.5 GB2320
Note: green Score (e.g. "73.2") means that the model is better than utter-project/EuroLLM-1.7B-Instruct.