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Opt 125M Wikitext2 by Aalaa

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Opt 125M Wikitext2 is an open-source language model by Aalaa. Features: 125m LLM, VRAM: 0.5GB, Context: 2K, License: other, LLM Explorer Score: 0.02.

  Endpoints compatible   Generated from trainer   Opt   Pytorch   Region:us   Tensorboard
Model Card on HF 🤗: https://huggingface.co/Aalaa/opt-125m-wikitext2 

Opt 125M Wikitext2 Benchmarks

LLME Score: 0.01981
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Opt 125M Wikitext2 (Aalaa/opt-125m-wikitext2)
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Opt 125M Wikitext2 Parameters and Internals

Model Type 
text generation
Training Details 
Methodology:
fine-tuned
LLM NameOpt 125M Wikitext2
Repository 🤗https://huggingface.co/Aalaa/opt-125m-wikitext2 
Model Size125m
Required VRAM0.5 GB
Updated2026-03-16
MaintainerAalaa
Model Typeopt
Model Files  0.5 GB   0.0 GB
Model ArchitectureOPTForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.20.1
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token</s>
End of Sentence Token</s>
Unk Token</s>
Vocabulary Size50272
Torch Data Typefloat32
Activation Functionrelu
Errorsreplace

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Galactica 125M Cot2K / 0.5 GB50
Galactica Ref2K / 0.5 GB50
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BertQA2K / 0.5 GB50
BertQA2K / 0.5 GB90
Note: green Score (e.g. "73.2") means that the model is better than Aalaa/opt-125m-wikitext2.

Rank the Opt 125M Wikitext2 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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