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Opt 13B by facebook

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Opt 13B is an open-source language model by facebook. Features: 13b LLM, VRAM: 25.8GB, Context: 2K, License: other, LLM Explorer Score: 0.08, Arc: 39.9, HellaSwag: 71.2, MMLU: 24.9, GSM8K: 1.7.

  Arxiv:2005.14165   Arxiv:2205.01068   En   Jax   Opt   Pytorch   Region:us   Sharded   Tf
Model Card on HF 🤗: https://huggingface.co/facebook/opt-13b 

Opt 13B Benchmarks

ARC: 39.93 vs 96.7 (so35)-58.7%
HellaSwag: 71.2 vs 95.3 (gpt4)-25.3%
MMLU: 24.9 vs 88.3 (so35)-71.8%
GSM8K: 1.74 vs 96.4 (so35)-98.2%
LLME Score: 0.08451
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Opt 13B (facebook/opt-13b)
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Opt 13B Parameters and Internals

Model Type 
text generation, multimodal
Use Cases 
Areas:
research, commercial applications
Applications:
text generation, evaluation of downstream tasks
Primary Use Cases:
prompting for evaluation, fine-tuning on downstream tasks
Limitations:
bias, limited diversity in generation, hallucination
Supported Languages 
languages_and_proficiency ()
Training Details 
Data Sources:
BookCorpus, CC-Stories, The Pile, Pushshift.io Reddit dataset, CCNewsV2
Data Volume:
180B tokens (~800GB of data)
Methodology:
Pre-trained using causal language modeling objective.
Context Length:
2048
Training Time:
~33 days
Hardware Used:
992 * 80GB A100 GPUs
Model Architecture:
Decoder-only Transformers
Responsible Ai Considerations 
Fairness:
Model shows biased predictions as it is trained on unfiltered internet data.
Transparency:
Model card available in the official paper.
Input Output 
Input Format:
Prompts
Accepted Modalities:
text
Output Format:
Generated text
Performance Tips:
Load model in half-precision for large models, use `generate` method.
LLM NameOpt 13B
Repository 🤗https://huggingface.co/facebook/opt-13b 
Model Size13b
Required VRAM25.8 GB
Updated2026-05-11
Maintainerfacebook
Model Typeopt
Model Files  10.0 GB: 1-of-3   9.9 GB: 2-of-3   5.9 GB: 3-of-3
Supported Languagesen
Model ArchitectureOPTForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.21.0.dev0
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token</s>
End of Sentence Token</s>
Unk Token</s>
Vocabulary Size50272
Torch Data Typefloat16
Activation Functionrelu
Errorsreplace

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Emoopt 13B2K / 25.7 GB610
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OPT 13B Nerys V22K / 25.7 GB169112
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Opt 13B2K / 26.3 GB71
OPT 13B Nerybus Mix 4bit 128g2K / 7.3 GB1926
OPT 13B Erebus 4bit 128g2K / 7.3 GB917
Note: green Score (e.g. "73.2") means that the model is better than facebook/opt-13b.

Rank the Opt 13B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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