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Opt Iml Max 30B by facebook

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  1892   
  Arxiv:2212.12017   Autotrain compatible   Opt   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/facebook/opt-iml-max-30b 

Opt Iml Max 30B Benchmarks

ARC: 43.86 vs 96.7 (so35)-54.6%
HellaSwag: 72.39 vs 95.3 (gpt4)-24%
MMLU: 41.09 vs 88.3 (so35)-53.5%
TruthfulQA: 38.16 vs 59 (gpt4)-35.3%
WinoGrande: 73.72 vs 87.5 (gpt4)-15.7%
GSM8K: 2.5 vs 96.4 (so35)-97.4%
LLME Score: 0.11398
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Opt Iml Max 30B (facebook/opt-iml-max-30b)
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Opt Iml Max 30B Parameters and Internals

Model Type 
text-generation, instruction-tuning
Use Cases 
Areas:
Research, NLP task evaluation
Limitations:
Factual correctness, Generation of toxic language, Enforcing stereotypes
Training Details 
Data Sources:
OPT-IML Bench, including Super-NaturalInstructions, FLAN, PromptSource
Data Volume:
2 billion tokens
Methodology:
Instruction Meta-Learning
Context Length:
2048
Hardware Used:
64 40GB A100 GPUs
Model Architecture:
Fine-tuning of OPT models using instruction-tuning
Responsible Ai Considerations 
Fairness:
The model is susceptible to biases and enforcing stereotypes.
Mitigation Strategies:
Usage should be accompanied with responsible best practices.
Input Output 
Input Format:
Sequences of 2048 consecutive tokens
Accepted Modalities:
text
Output Format:
Text generation
Performance Tips:
Load model in half-precision to optimize memory on GPU.
LLM NameOpt Iml Max 30B
Repository 🤗https://huggingface.co/facebook/opt-iml-max-30b 
Model Size30b
Required VRAM60.1 GB
Updated2025-08-18
Maintainerfacebook
Model Typeopt
Model Files  9.8 GB: 1-of-7   9.9 GB: 2-of-7   9.9 GB: 3-of-7   9.9 GB: 4-of-7   9.9 GB: 5-of-7   9.9 GB: 6-of-7   0.8 GB: 7-of-7
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-max-30b.

Rank the Opt Iml Max 30B 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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Release v20241124
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