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OLMo 7B SFT by allenai

 »  All LLMs  »  allenai  »  OLMo 7B SFT   URL Share it on

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  Arxiv:2402.00838   Autotrain compatible   Conversational   Custom code   Dataset:allenai/dolma Dataset:allenai/tulu-v2-sft-mi...   En   Hf olmo   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/allenai/OLMo-7B-SFT 

OLMo 7B SFT Benchmarks

LLME Score: 0.17213
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OLMo 7B SFT (allenai/OLMo-7B-SFT)

OLMo 7B SFT Parameters and Internals

Model Type 
Transformer style autoregressive language model
Additional Notes 
Installation requires `ai2-olmo`. Use with HuggingFace Transformers<=4.39 for compatibility.
Supported Languages 
en (Proficient)
Training Details 
Data Sources:
allenai/dolma, allenai/tulu-v2-sft-mixture, allenai/ultrafeedback_binarized_cleaned
Data Volume:
2.5 Trillion Tokens
Methodology:
SFT
Context Length:
2048
Model Architecture:
Based on OLMo core architecture.
Responsible Ai Considerations 
Accountability:
Users are responsible for the outputs produced by the model.
Mitigation Strategies:
Developers should consider implementing safeguards for biases, privacy, and other potential harms.
LLM NameOLMo 7B SFT
Repository 🤗https://huggingface.co/allenai/OLMo-7B-SFT 
Model Size7b
Required VRAM13.7 GB
Updated2025-02-05
Maintainerallenai
Model Typehf_olmo
Model Files  9.9 GB: 1-of-2   3.8 GB: 2-of-2
Supported Languagesen
Model ArchitectureOLMoForCausalLM
Licenseapache-2.0
Transformers Version4.35.0.dev0
Tokenizer ClassOLMoTokenizer
Padding Token<|padding|>
Vocabulary Size50280
Torch Data Typebfloat16

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

Rank the OLMo 7B SFT 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  
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Multi-Language Support and Translation  

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Release v20241227
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