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OpenELM 270M by apple

 »  All LLMs  »  apple  »  OpenELM 270M   URL Share it on

  1261   
  Arxiv:2404.14619   Autotrain compatible   Custom code   Openelm   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/apple/OpenELM-270M 

OpenELM 270M Benchmarks

LLME Score: 0.21665
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OpenELM 270M (apple/OpenELM-270M)

OpenELM 270M Parameters and Internals

Model Type 
Language Model
Additional Notes 
Trained on publicly available datasets. Safety guarantees not provided.
Training Details 
Data Sources:
RefinedWeb, deduplicated PILE, subset of RedPajama, subset of Dolma v1.6
Data Volume:
1.8 trillion tokens
Model Architecture:
Layer-wise scaling strategy
Input Output 
Output Format:
Generated text based on input prompt.
Performance Tips:
To speed up inference, use speculative generation.
LLM NameOpenELM 270M
Repository 🤗https://huggingface.co/apple/OpenELM-270M 
Model Size270m
Required VRAM1.1 GB
Updated2025-01-24
Maintainerapple
Model Typeopenelm
Model Files  1.1 GB
Model ArchitectureOpenELMForCausalLM
Licenseother
Transformers Version4.39.3
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than apple/OpenELM-270M.

Rank the OpenELM 270M 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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