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OpenELM 3B Instruct by apple

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  Arxiv:2404.14619   Autotrain compatible   Custom code   Instruct   Openelm   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/apple/OpenELM-3B-Instruct 

OpenELM 3B Instruct Benchmarks

LLME Score: 0.28057
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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OpenELM 3B Instruct Parameters and Internals

Model Type 
language model, instruction tuned
Use Cases 
Limitations:
Possibility of producing inaccurate, harmful, biased, or objectionable outputs
Considerations:
Users should undertake thorough safety testing and implement filtering mechanisms.
Additional Notes 
Provides full training, fine-tuning, and evaluation procedures with checkpoints.
Training Details 
Data Sources:
RefinedWeb, deduplicated PILE, RedPajama (subset), Dolma v1.6 (subset)
Data Volume:
1.8 trillion tokens
Methodology:
Layer-wise scaling strategy
Model Architecture:
Transformer
Input Output 
Performance Tips:
Use smaller models as assistants for speculative generation.
LLM NameOpenELM 3B Instruct
Repository 🤗https://huggingface.co/apple/OpenELM-3B-Instruct 
Model Size3b
Required VRAM6 GB
Updated2024-12-04
Maintainerapple
Model Typeopenelm
Instruction-BasedYes
Model Files  4.9 GB: 1-of-2   1.1 GB: 2-of-2
Model ArchitectureOpenELMForCausalLM
Licenseother
Transformers Version4.39.3
Vocabulary Size32000
Torch Data Typebfloat16
OpenELM 3B Instruct (apple/OpenELM-3B-Instruct)

Rank the OpenELM 3B Instruct 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 v20241124
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