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Opt Iml 1.3B by facebook

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  1229   
  Arxiv:2212.12017   Autotrain compatible   Opt   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/facebook/opt-iml-1.3b 

Opt Iml 1.3B Benchmarks

LLME Score: 0.07513
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Opt Iml 1.3B (facebook/opt-iml-1.3b)
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Opt Iml 1.3B Parameters and Internals

Model Type 
text-generation, opt
Use Cases 
Areas:
NLP tasks, instruction-tuning
Considerations:
Models are susceptible to risks involving factual correctness, toxic language, and stereotypes.
Training Details 
Data Sources:
Super-NaturalInstructions, FLAN, PromptSource
Data Volume:
approximately 2 billion tokens (during fine-tuning)
Methodology:
Fine-tuning with Instruction Meta-Learning
Context Length:
2048
Hardware Used:
64 40GB A100 GPUs
Model Architecture:
Instruction-tuned versions of OPT
Responsible Ai Considerations 
Mitigation Strategies:
Responsible best practices are recommended to mitigate risks related to factual correctness, toxic language generation, and stereotypes.
LLM NameOpt Iml 1.3B
Repository 🤗https://huggingface.co/facebook/opt-iml-1.3b 
Model Size1.3b
Required VRAM2.6 GB
Updated2025-09-23
Maintainerfacebook
Model Typeopt
Model Files  2.6 GB
Model ArchitectureOPTForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.22.2
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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Note: green Score (e.g. "73.2") means that the model is better than facebook/opt-iml-1.3b.

Rank the Opt Iml 1.3B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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