What are the hardware requirements for Trocr Pl Base?

Trocr Pl Base requires approximately 1.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Trocr Pl Base and how large is it?

Trocr Pl Base is developed by PiotrSty, a model with 333.9m 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 Trocr Pl Base?

Trocr Pl Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Trocr Pl Base by PiotrSty — VRAM 1.3GB

Name: Trocr Pl Base
Author: PiotrSty

Trocr Pl Base is an open-source language model by PiotrSty. Features: 333.9m LLM, VRAM: 1.3GB, License: mit, LLM Explorer Score: 0.3.

Base model:finetune:microsoft/... Base model:microsoft/trocr-bas... En Endpoints compatible Experimental Historical-print Image-text-to-text Image-to-text Model-index Ocr Pl Polish Region:us Safetensors Trocr Vision Vision-encoder-decoder

Model Card on HF 🤗: https://huggingface.co/PiotrSty/trocr-pl-base

Trocr Pl Base Parameters and Internals

LLM Name	Trocr Pl Base
Repository 🤗	https://huggingface.co/PiotrSty/trocr-pl-base
Base Model(s)	microsoft/trocr-base-printed microsoft/trocr-base-printed
Model Size	333.9m
Required VRAM	1.3 GB
Updated	2026-09-16
Maintainer	PiotrSty
Model Type	vision-encoder-decoder
Model Files	1.3 GB
Supported Languages	pl en
Model Architecture	VisionEncoderDecoderModel
License	mit
Model Max Length	512
Transformers Version	4.57.6
Tokenizer Class	RobertaTokenizer
Padding Token	<pad>
Errors	replace

Rank the Trocr Pl Base 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

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