What are the hardware requirements for Gpt2 Medium Emailgen?

Gpt2 Medium Emailgen requires approximately 1.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gpt2 Medium Emailgen and how large is it?

Gpt2 Medium Emailgen is developed by postbot, a model with 380m parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Gpt2 Medium Emailgen perform on standard benchmarks?

Gpt2 Medium Emailgen has the following published scores: MMLU 24.1. Compare against reference models on this page or on the LLM Explorer leaderboards.

Gpt2 Medium Emailgen by postbot — VRAM 1.4GB

Name: Gpt2 Medium Emailgen
Author: postbot

Gpt2 Medium Emailgen is an open-source language model by postbot. Features: 380m LLM, VRAM: 1.4GB, License: apache-2.0, LLM Explorer Score: 0.09, 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

Model Card on HF 🤗: https://huggingface.co/postbot/gpt2-medium-emailgen

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 Name	Gpt2 Medium Emailgen
Repository 🤗	https://huggingface.co/postbot/gpt2-medium-emailgen
Model Size	380m
Required VRAM	1.4 GB
Updated	2026-08-06
Maintainer	postbot
Model Type	gpt2
Model Files	1.4 GB 1.4 GB 0.0 GB
Model Architecture	GPT2LMHeadModel
License	apache-2.0
Model Max Length	1024
Transformers Version	4.22.2
Tokenizer Class	GPT2Tokenizer
Beginning of Sentence Token	<\|endoftext\|>
End of Sentence Token	<\|endoftext\|>
Unk Token	<\|endoftext\|>
Vocabulary Size	50257
Torch Data Type	float32
Activation Function	gelu_new
Errors	replace

Rank the Gpt2 Medium Emailgen capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Gpt2 Medium Emailgen

Best Alternatives	Context / RAM	Downloads	Likes
Gpt2 Medium	0K / 1.5 GB	588238	205
Gpt2 Medium Dutch	0K / 1.4 GB	248	4
... Medium Vaguely Human Dialogue	0K / 1.4 GB	86	0

Note: green Score (e.g. "73.2") means that the model is better than postbot/gpt2-medium-emailgen.