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OLMo 1B by allenai

 »  All LLMs  »  allenai  »  OLMo 1B   URL Share it on

  1679   
  Arxiv:2302.13971   Arxiv:2402.00838   Autotrain compatible   Custom code   Dataset:allenai/dolma   En   Hf olmo   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/allenai/OLMo-1B 

OLMo 1B Benchmarks

LLME Score: 0.20082
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OLMo 1B (allenai/OLMo-1B)

OLMo 1B Parameters and Internals

Model Type 
Transformer, autoregressive language model
Additional Notes 
The OLMo models are designed for language modeling with a series of checkpoints available for tracking training progress. Performance varies across benchmarks when compared to peers.
Supported Languages 
English (proficient)
Training Details 
Data Sources:
allenai/dolma
Data Volume:
3 Trillion Tokens
Context Length:
2048
Hardware Used:
LUMI supercomputer MI250X GPUs, MosaicML A100-40GB GPUs
Model Architecture:
Transformer
Input Output 
Input Format:
tokenized text
Accepted Modalities:
text
Output Format:
generated text sequence
LLM NameOLMo 1B
Repository 🤗https://huggingface.co/allenai/OLMo-1B 
Model Size1b
Required VRAM4.7 GB
Updated2025-01-24
Maintainerallenai
Model Typehf_olmo
Model Files  4.7 GB   4.7 GB
Supported Languagesen
Model ArchitectureOLMoForCausalLM
Licenseapache-2.0
Transformers Version4.37.1
Tokenizer ClassOLMoTokenizer
Padding Token<|padding|>
Vocabulary Size50280

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Rank the OLMo 1B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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