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LaMini GPT 124M by MBZUAI

 »  All LLMs  »  MBZUAI  »  LaMini GPT 124M   URL Share it on

  4023   
  Arxiv:2304.14402   Autotrain compatible   En   Endpoints compatible   Gpt2   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/MBZUAI/LaMini-GPT-124M 

LaMini GPT 124M Benchmarks

ARC: 24.32 vs 96.7 (so35)-74.9%
HellaSwag: 30.82 vs 95.3 (gpt4)-67.7%
MMLU: 24.99 vs 88.3 (so35)-71.7%
TruthfulQA: 36.57 vs 59 (gpt4)-38%
WinoGrande: 51.38 vs 87.5 (gpt4)-41.3%
LLME Score: 0.15764
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LaMini GPT 124M (MBZUAI/LaMini-GPT-124M)
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LaMini GPT 124M Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Research, Commercial applications
Primary Use Cases:
Responding to human instructions in natural language
Supported Languages 
en (English)
Training Details 
Data Sources:
LaMini-instruction dataset
Data Volume:
2.58M samples
Methodology:
Fine-tuning from GPT-2
LLM NameLaMini GPT 124M
Repository 🤗https://huggingface.co/MBZUAI/LaMini-GPT-124M 
Model Size124m
Required VRAM0.5 GB
Updated2025-07-29
MaintainerMBZUAI
Model Typegpt2
Model Files  0.5 GB
Supported Languagesen
Model ArchitectureGPT2LMHeadModel
Licensecc-by-nc-4.0
Model Max Length512
Transformers Version4.27.4
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token<|endoftext|>
End of Sentence Token<|endoftext|>
Unk Token<|endoftext|>
Vocabulary Size50258
Torch Data Typefloat32
Activation Functiongelu_new
Errorsreplace

Best Alternatives to LaMini GPT 124M

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Context / RAM
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BrtGPT 124M Base0K / 0.4 GB7171
GPT2 124M Poetry RL0K / 0.5 GB7461
Gpt2 Final0K / 0.5 GB50
Filiberto 124M0K / 0.5 GB70
GPT2 Nepali 124M0K / 0.5 GB295
GPT2 Nepali 124M0K / 0.5 GB65
Dlite V2 124M0K / 0.3 GB14007
Dlite V1 124M0K / 0.5 GB12740
Note: green Score (e.g. "73.2") means that the model is better than MBZUAI/LaMini-GPT-124M.

Rank the LaMini GPT 124M 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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