What are the hardware requirements for Distilgpt2 Emailgen?

Distilgpt2 Emailgen requires approximately 0.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Distilgpt2 Emailgen and how large is it?

Distilgpt2 Emailgen is developed by postbot, a model with 88.2m parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Distilgpt2 Emailgen perform on standard benchmarks?

Distilgpt2 Emailgen has the following published scores: MMLU 25.97. Compare against reference models on this page or on the LLM Explorer leaderboards.

Distilgpt2 Emailgen by postbot — VRAM 0.4GB

Name: Distilgpt2 Emailgen
Author: postbot

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 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 Name	Distilgpt2 Emailgen
Repository 🤗	https://huggingface.co/postbot/distilgpt2-emailgen
Base Model(s)	distilgpt2 /distilgpt2
Model Size	88.2m
Required VRAM	0.4 GB
Updated	2026-08-07
Maintainer	postbot
Model Type	gpt2
Model Files	0.4 GB 0.4 GB 0.0 GB
Model Architecture	GPT2LMHeadModel
License	apache-2.0
Model Max Length	1024
Transformers Version	4.21.1
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 Distilgpt2 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 Distilgpt2 Emailgen

Best Alternatives	Context / RAM	Downloads	Likes
Leo DistilGPT Medical	0K / 0.4 GB	15	1
Distilgpt2	0K / 0.4 GB	2759237	634
Distilgpt2 HC3	0K / 0.3 GB	222	1
Distilgpt2 Emailgen V2	0K / 0.3 GB	373	5
Distilgpt2 Fables Demo	0K / 0.3 GB	12	0
Distilgpt2 Nepali	0K / 0.3 GB	54	7
Distilgpt2 Tiny Conversational	0K / 0.3 GB	386	5

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