What are the hardware requirements for Gpt2 Large Dutch?

Gpt2 Large Dutch requires approximately 3.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gpt2 Large Dutch and how large is it?

Gpt2 Large Dutch is developed by yhavinga, a model with 811.8m 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 Gpt2 Large Dutch?

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

Gpt2 Large Dutch by yhavinga — VRAM 3.1GB

Name: Gpt2 Large Dutch
Author: yhavinga

Gpt2 Large Dutch is an open-source language model by yhavinga. Features: 811.8m LLM, VRAM: 3.1GB, LLM Explorer Score: 0.

Dataset:yhavinga/mc4 nl cleane... Endpoints compatible Gpt2 Gpt2-large Jax Nl Pytorch Region:us Safetensors Tensorboard

Model Card on HF 🤗: https://huggingface.co/yhavinga/gpt2-large-dutch

Gpt2 Large Dutch Parameters and Internals

LLM Name	Gpt2 Large Dutch
Repository 🤗	https://huggingface.co/yhavinga/gpt2-large-dutch
Model Size	811.8m
Required VRAM	3.1 GB
Updated	2026-08-05
Maintainer	yhavinga
Model Type	gpt2
Model Files	3.1 GB 3.1 GB
Supported Languages	nl
Model Architecture	GPT2LMHeadModel
Transformers Version	4.13.0
Tokenizer Class	GPT2Tokenizer
Vocabulary Size	50257
Torch Data Type	float32
Activation Function	gelu_new

Rank the Gpt2 Large Dutch capabilities

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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

Best Alternatives to Gpt2 Large Dutch

Best Alternatives	Context / RAM	Downloads	Likes
Gpt2 Large	0K / 3.2 GB	1504357	355

Note: green Score (e.g. "73.2") means that the model is better than yhavinga/gpt2-large-dutch.