OLMo 7B 0424 Hf by allenai

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  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-0424-hf 

OLMo 7B 0424 Hf Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OLMo 7B 0424 Hf (allenai/OLMo-7B-0424-hf)

OLMo 7B 0424 Hf Parameters and Internals

Model Type 
Transformer-style autoregressive language model
Use Cases 
Areas:
Research, Commercial applications
Limitations:
Relatively easy for models to generate harmful content, Many facts may not be true
Additional Notes 
OLMo 7B April 2024 features improved dataset and model architecture.
Supported Languages 
en (English)
Training Details 
Data Sources:
Dolma dataset version 1.7
Data Volume:
2.05 trillion training tokens
Methodology:
Staged training with annealing phase
Context Length:
4096
Hardware Used:
CSC (Lumi Supercomputer)
Model Architecture:
Transformer
LLM NameOLMo 7B 0424 Hf
Repository ๐Ÿค—https://huggingface.co/allenai/OLMo-7B-0424-hf 
Model Size7b
Required VRAM27.6 GB
Updated2025-01-20
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 Length4096
Model Max Length4096
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-0424-hf.

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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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227