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Distilgpt2 Emailgen V2 by postbot

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Distilgpt2 Emailgen V2 is an open-source language model by postbot. Features: 88.2m LLM, VRAM: 0.3GB, License: apache-2.0, LLM Explorer Score: 0.09, Arc: 21, HellaSwag: 26.8, MMLU: 25.5.

  Dataset:aeslc Dataset:postbot/multi-emails-1...   Distilgpt2   Email   Email generation   Endpoints compatible   Generated from trainer   Gpt2   Onnx   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/postbot/distilgpt2-emailgen-V2 

Distilgpt2 Emailgen V2 Benchmarks

ARC: 20.99 vs 96.7 (so35)-78.3%
HellaSwag: 26.78 vs 95.3 (gpt4)-71.9%
MMLU: 25.53 vs 88.3 (so35)-71.1%
LLME Score: 0.09453
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Distilgpt2 Emailgen V2 (postbot/distilgpt2-emailgen-V2)
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Distilgpt2 Emailgen V2 Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
email generation
Applications:
technology, business communication
Primary Use Cases:
automatically composing emails
Limitations:
More information needed
Additional Notes 
Designed for generating email content from prompts to improve productivity in email composition.
Training Details 
Data Sources:
postbot/multi-emails-100k, aeslc
Hardware Used:
multi-GPU
Model Architecture:
fine-tuned GPT model
Input Output 
Input Format:
text prompt
Accepted Modalities:
text
Output Format:
email text
LLM NameDistilgpt2 Emailgen V2
Repository 🤗https://huggingface.co/postbot/distilgpt2-emailgen-V2 
Model Size88.2m
Required VRAM0.3 GB
Updated2026-05-06
Maintainerpostbot
Model Typegpt2
Model Files  0.3 GB   0.3 GB   0.0 GB
Model ArchitectureGPT2LMHeadModel
Licenseapache-2.0
Model Max Length1024
Transformers Version4.22.2
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token<|endoftext|>
End of Sentence Token<|endoftext|>
Unk Token<|endoftext|>
Vocabulary Size50257
Torch Data Typefloat32
Activation Functiongelu_new
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than postbot/distilgpt2-emailgen-V2.

Rank the Distilgpt2 Emailgen V2 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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