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Distilgpt2 Emailgen by postbot

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Distilgpt2 Emailgen is an open-source language model by postbot. Features: 88.2m LLM, VRAM: 0.4GB, License: apache-2.0, LLM Explorer Score: 0.07, Arc: 21.8, HellaSwag: 27.5, MMLU: 26.

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

Distilgpt2 Emailgen Benchmarks

ARC: 21.76 vs 96.7 (so35)-77.5%
HellaSwag: 27.52 vs 95.3 (gpt4)-71.1%
MMLU: 25.97 vs 88.3 (so35)-70.6%
LLME Score: 0.07442
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Distilgpt2 Emailgen (postbot/distilgpt2-emailgen)
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Distilgpt2 Emailgen Parameters and Internals

Model Type 
text generation
Use Cases 
Applications:
email generation
Primary Use Cases:
email autocomplete suggestions
Limitations:
The model should not be used to write entire emails without input., Verify suggestions for false claims and negation statements.
Additional Notes 
The model is fine-tuned on a dataset of 50k emails.
Training Details 
Data Sources:
aeslc, postbot/multi_emails
Methodology:
Fine-tuned
Input Output 
Performance Tips:
Model results may vary significantly with different formatting.
LLM NameDistilgpt2 Emailgen
Repository 🤗https://huggingface.co/postbot/distilgpt2-emailgen 
Base Model(s)  distilgpt2   /distilgpt2
Model Size88.2m
Required VRAM0.4 GB
Updated2026-05-26
Maintainerpostbot
Model Typegpt2
Model Files  0.4 GB   0.4 GB   0.0 GB
Model ArchitectureGPT2LMHeadModel
Licenseapache-2.0
Model Max Length1024
Transformers Version4.21.1
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.

Rank the Distilgpt2 Emailgen 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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Release v20260328a
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