Gpt2 Medium Emailgen by postbot

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Gpt2 Medium Emailgen is an open-source language model by postbot. Features: 380m LLM, VRAM: 1.4GB, License: apache-2.0, LLM Explorer Score: 0.1, Arc: 26.5, HellaSwag: 34.3, MMLU: 24.1.

  Dataset:aeslc Dataset:postbot/multi-emails-1...   Email   Email generation   Emailgen   Endpoints compatible   Gpt2   Onnx   Pytorch   Region:us   Safetensors

Gpt2 Medium Emailgen Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Gpt2 Medium Emailgen Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
text generation, email generation
Applications:
newsletter email automation, office correspondence, event invitations
Primary Use Cases:
Predictable email drafting
Limitations:
Not intended to write emails without human oversight
Considerations:
Check emails for factual correctness before sending.
Additional Notes 
Fine-tuned for efficient email generation with significant reduction in drafting time.
Supported Languages 
English (high)
Training Details 
Data Sources:
aeslc, postbot/multi-emails-100k
Data Volume:
100k examples
Methodology:
fine-tuning
Hardware Used:
multi-GPU
Model Architecture:
GPT-2
Input Output 
Input Format:
Text prompts
Accepted Modalities:
text
Output Format:
Generated email text
Release Notes 
Version:
1.0
Notes:
Initial fine-tuning on email data.
LLM NameGpt2 Medium Emailgen
Repository 🤗https://huggingface.co/postbot/gpt2-medium-emailgen 
Model Size380m
Required VRAM1.4 GB
Updated2026-05-24
Maintainerpostbot
Model Typegpt2
Model Files  1.4 GB   1.4 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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Release v20260328a