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OLMo 7B 0724 Instruct Hf by allenai

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OLMo 7B 0724 Instruct Hf is an open-source language model by allenai. Features: 7b LLM, VRAM: 13.8GB, Context: 4K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.16.

  Arxiv:2402.00838   Conversational   Dataset:allenai/dolma Dataset:allenai/tulu-v2-sft-mi... Dataset:allenai/ultrafeedback ...   En   Endpoints compatible   Instruct   Olmo   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/allenai/OLMo-7B-0724-Instruct-hf 

OLMo 7B 0724 Instruct Hf Benchmarks

LLME Score: 0.15611
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OLMo 7B 0724 Instruct Hf (allenai/OLMo-7B-0724-Instruct-hf)
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OLMo 7B 0724 Instruct Hf Parameters and Internals

Model Type 
transformer, autoregressive, language model
Additional Notes 
The model does not include a specific safety filter or safety training data.
Supported Languages 
en (proficient)
Training Details 
Data Sources:
Dolma, Tulu SFT Mixture, UltraFeedback Cleaned
Data Volume:
2.7T
Methodology:
Supervised Fine-Tuning (SFT) and DPO
Context Length:
4096
Model Architecture:
Accommodates up to 4096 tokens with 32 layers, 4096 hidden size, 32 attention heads.
Input Output 
Accepted Modalities:
text
Output Format:
text
LLM NameOLMo 7B 0724 Instruct Hf
Repository 🤗https://huggingface.co/allenai/OLMo-7B-0724-Instruct-hf 
Model Size7b
Required VRAM13.8 GB
Updated2026-04-09
Maintainerallenai
Model Typeolmo
Instruction-BasedYes
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   3.8 GB: 3-of-3
Supported Languagesen
Model ArchitectureOlmoForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.41.1
Tokenizer ClassGPTNeoXTokenizer
Padding Token<|padding|>
Vocabulary Size50304
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than allenai/OLMo-7B-0724-Instruct-hf.

Rank the OLMo 7B 0724 Instruct 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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