What are the hardware requirements for German Gpt2 Medium?

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

Who developed German Gpt2 Medium and how large is it?

German Gpt2 Medium is developed by kkirchheim, a model with 358.7m parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate German Gpt2 Medium?

German Gpt2 Medium is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

German Gpt2 Medium by kkirchheim — VRAM 1.4GB

Name: German Gpt2 Medium
Author: kkirchheim

German Gpt2 Medium is an open-source language model by kkirchheim. Features: 358.7m LLM, VRAM: 1.4GB, License: mit, LLM Explorer Score: 0.16.

De Deploy:azure Endpoints compatible Gpt2 Pytorch Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/kkirchheim/german-gpt2-medium

German Gpt2 Medium Parameters and Internals

LLM Name	German Gpt2 Medium
Repository 🤗	https://huggingface.co/kkirchheim/german-gpt2-medium
Model Size	358.7m
Required VRAM	1.4 GB
Updated	2026-06-30
Maintainer	kkirchheim
Model Type	gpt2
Model Files	1.4 GB 1.4 GB
Supported Languages	de
Model Architecture	GPT2LMHeadModel
License	mit
Transformers Version	4.30.2
Vocabulary Size	53000
Torch Data Type	float32
Activation Function	gelu_new

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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