What are the hardware requirements for Distilgpt2 Emailgen V2?

Distilgpt2 Emailgen V2 requires approximately 0.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Distilgpt2 Emailgen V2 and how large is it?

Distilgpt2 Emailgen V2 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 V2 perform on standard benchmarks?

Distilgpt2 Emailgen V2 has the following published scores: MMLU 25.53. Compare against reference models on this page or on the LLM Explorer leaderboards.

Distilgpt2 Emailgen V2 by postbot — VRAM 0.3GB

Name: Distilgpt2 Emailgen V2
Author: postbot

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: 0.08, 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 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 Name	Distilgpt2 Emailgen V2
Repository 🤗	https://huggingface.co/postbot/distilgpt2-emailgen-V2
Model Size	88.2m
Required VRAM	0.3 GB
Updated	2026-07-14
Maintainer	postbot
Model Type	gpt2
Model Files	0.3 GB 0.3 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 Distilgpt2 Emailgen V2 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 V2

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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	0K / 0.4 GB	212	4
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-V2.