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Opt 350M Email Generation by pszemraj

 »  All LLMs  »  pszemraj  »  Opt 350M Email Generation   URL Share it on

  20   
  Auto-complete   Dataset:aeslc   Email   Endpoints compatible   Generated from trainer   Non-commercial   Opt   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/pszemraj/opt-350m-email-generation 

Opt 350M Email Generation Benchmarks

LLME Score: 0.01519
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Opt 350M Email Generation (pszemraj/opt-350m-email-generation)
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Opt 350M Email Generation Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Applications:
email automation
Primary Use Cases:
email completion and generation
Limitations:
Restricted to generating 64 tokens, Formatting significantly affects results
Additional Notes 
Please refer to the license and usage guidelines on the Hugging Face model card for specific usage terms.
Training Details 
Data Sources:
aeslc
Methodology:
fine-tuning
Input Output 
Input Format:
Emails
Accepted Modalities:
text
Output Format:
Completed/email text
Performance Tips:
Formatting matters, significant variance possible.
LLM NameOpt 350M Email Generation
Repository 🤗https://huggingface.co/pszemraj/opt-350m-email-generation 
Model Size350m
Required VRAM1.3 GB
Updated2026-01-13
Maintainerpszemraj
Model Typeopt
Model Files  1.3 GB   1.3 GB   0.0 GB
Model ArchitectureOPTForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.19.2
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-350m-email-generation.

Rank the Opt 350M Email Generation 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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