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Olmo 3 7B Think DPO by allenai

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Olmo 3 7B Think DPO is an open-source language model by allenai. Features: 7b LLM, VRAM: 14.6GB, Context: 64K, License: apache-2.0, LLM Explorer Score: 0.29.

  Arxiv:2512.13961 Base model:allenai/olmo-3-7b-t... Base model:finetune:allenai/ol...   Conversational Dataset:allenai/dolci-think-dp...   En   Endpoints compatible   Olmo3   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/allenai/Olmo-3-7B-Think-DPO 

Olmo 3 7B Think DPO Benchmarks

LLME Score: 0.28828
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Olmo 3 7B Think DPO (allenai/Olmo-3-7B-Think-DPO)
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Olmo 3 7B Think DPO Parameters and Internals

LLM NameOlmo 3 7B Think DPO
Repository 🤗https://huggingface.co/allenai/Olmo-3-7B-Think-DPO 
Base Model(s)  Olmo 3 7B Think SFT   allenai/Olmo-3-7B-Think-SFT
Model Size7b
Required VRAM14.6 GB
Updated2026-04-02
Maintainerallenai
Model Typeolmo3
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.6 GB: 3-of-3   5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.6 GB: 3-of-3
Supported Languagesen
Model ArchitectureOlmo3ForCausalLM
Licenseapache-2.0
Context Length65536
Model Max Length65536
Transformers Version4.57.0
Tokenizer ClassGPT2Tokenizer
Padding Token<|pad|>
Vocabulary Size100278

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Note: green Score (e.g. "73.2") means that the model is better than allenai/Olmo-3-7B-Think-DPO.

Rank the Olmo 3 7B Think DPO 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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