LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Opt 13B by facebook

 »  All LLMs  »  facebook  »  Opt 13B   URL Share it on

  15254   
  Arxiv:2005.14165   Arxiv:2205.01068   Autotrain compatible   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%
TruthfulQA: 34.1 vs 59 (gpt4)-42.2%
WinoGrande: 68.51 vs 87.5 (gpt4)-21.7%
GSM8K: 1.74 vs 96.4 (so35)-98.2%
LLME Score: 0.0913
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)
🌟 Advertise your project 🚀

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
Updated2025-09-23
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

Best Alternatives to Opt 13B

Best Alternatives
Context / RAM
Downloads
Likes
Emoopt 13B2K / 25.7 GB340
OPT 13B Nerybus Mix2K / 26.4 GB185936
OPT 13B Erebus2K / 25.7 GB2440253
OPT 13B Nerys V22K / 25.7 GB78312
Basic Facebook 13B2K / 25.8 GB151
Opt 13B2K / 26.3 GB71
OPT 13B Nerybus Mix 4bit 128g2K / 7.3 GB18206
OPT 13B Erebus 4bit 128g2K / 7.3 GB717
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  

What open-source LLMs or SLMs are you in search of? 51553 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
  Support LLM Explorer