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Opt 125M Email Generation by pszemraj

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

  125m   Auto-complete   Base model:facebook/opt-125m Base model:finetune:facebook/o...   Dataset:aeslc   Email   Endpoints compatible   Generated from trainer   Non-commercial   Opt   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/pszemraj/opt-125m-email-generation 

Opt 125M Email Generation Benchmarks

LLME Score: 0.02303
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Opt 125M Email Generation (pszemraj/opt-125m-email-generation)
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Opt 125M Email Generation Parameters and Internals

Model Type 
text generation, email autocomplete
Use Cases 
Areas:
non-commercial
Applications:
email communication
Primary Use Cases:
email autocomplete, text generation
Additional Notes 
There is currently a bug with the Huggingface API for OPT models, users are advised to test via Colab notebook.
Training Details 
Data Sources:
aeslc dataset
Methodology:
fine-tuning
Input Output 
Input Format:
text input
Accepted Modalities:
text
Output Format:
text generation
Performance Tips:
Generate longer emails by using it in a text-generation pipeline object.
LLM NameOpt 125M Email Generation
Repository 🤗https://huggingface.co/pszemraj/opt-125m-email-generation 
Base Model(s)  Opt 125M   facebook/opt-125m
Model Size125m
Required VRAM0.5 GB
Updated2026-03-29
Maintainerpszemraj
Model Typeopt
Model Files  0.5 GB   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 Size50265
Torch Data Typefloat32
Activation Functionrelu
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than pszemraj/opt-125m-email-generation.

Rank the Opt 125M Email Generation 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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