OLMo 7B Hf by allenai

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  Arxiv:2302.13971   Arxiv:2402.00838   Autotrain compatible   Dataset:allenai/dolma   En   Endpoints compatible   Olmo   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/allenai/OLMo-7B-hf 

OLMo 7B Hf Benchmarks

OLMo 7B Hf (allenai/OLMo-7B-hf)

OLMo 7B Hf Parameters and Internals

Model Type 
Transformer style autoregressive language model
Use Cases 
Areas:
Research, Commercial applications
Applications:
Natural language processing tasks
Primary Use Cases:
Language modeling, Text generation
Limitations:
May produce harmful or biased content
Considerations:
User awareness of potential risks and limitations.
Additional Notes 
Model checkpoints and code are open-source.
Supported Languages 
English (High)
Training Details 
Data Sources:
Dolma dataset
Data Volume:
2.5 Trillion Training Tokens
Methodology:
Sequential Block Transformer with SwiGLU activation and RoPE positional embeddings
Context Length:
2048
Hardware Used:
MI250X GPUs at LUMI supercomputer, A100-40GB GPUs provided by MosaicML
Model Architecture:
Transformer model with 32 layers, 4096 hidden size, 32 attention heads, sequential block type
Safety Evaluation 
Risk Categories:
Harmful content, Sensitive content, Bias
Ethical Considerations:
Model can generate harmful and biased content.
Responsible Ai Considerations 
Fairness:
Potential bias in language outputs.
Transparency:
Open-source model with accessible training data details.
Accountability:
Developed by Allen Institute for AI.
Mitigation Strategies:
Awareness of risks and user guidelines.
Input Output 
Input Format:
Text prompts
Accepted Modalities:
Text
Output Format:
Generated text
Performance Tips:
Use optimized settings for text generation speed and accuracy.
Release Notes 
Version:
7B
Notes:
Initial release for open language modeling.
LLM NameOLMo 7B Hf
Repository ๐Ÿค—https://huggingface.co/allenai/OLMo-7B-hf 
Model Size7b
Required VRAM27.6 GB
Updated2025-01-15
Maintainerallenai
Model Typeolmo
Model Files  4.9 GB: 1-of-6   5.0 GB: 2-of-6   4.9 GB: 3-of-6   4.9 GB: 4-of-6   4.9 GB: 5-of-6   3.0 GB: 6-of-6
Supported Languagesen
Model ArchitectureOlmoForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.40.0.dev0
Tokenizer ClassGPTNeoXTokenizer
Padding Token<|padding|>
Vocabulary Size50304
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than allenai/OLMo-7B-hf.

Rank the OLMo 7B Hf 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