What are the hardware requirements for Byt5 Small Tr Normalizer?

Byt5 Small Tr Normalizer requires approximately 1.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Byt5 Small Tr Normalizer and how large is it?

Byt5 Small Tr Normalizer is developed by erdemKocaogluu, a model with 299.6m 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 Byt5 Small Tr Normalizer?

Byt5 Small Tr Normalizer is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Byt5 Small Tr Normalizer by erdemKocaogluu — VRAM 1.2GB

Name: Byt5 Small Tr Normalizer
Author: erdemKocaogluu

Byt5 Small Tr Normalizer is an open-source language model by erdemKocaogluu. Features: 299.6m LLM, VRAM: 1.2GB, License: apache-2.0, LLM Explorer Score: 0.33.

Base model:finetune:google/byt... Base model:google/byt5-small Byt5 Grammatical-error-correction Region:us Safetensors T5 Text-normalization Tr Turkish

Model Card on HF 🤗: https://huggingface.co/erdemKocaogluu/byt5-small-tr-normalizer

Byt5 Small Tr Normalizer Parameters and Internals

LLM Name	Byt5 Small Tr Normalizer
Repository 🤗	https://huggingface.co/erdemKocaogluu/byt5-small-tr-normalizer
Base Model(s)	google/byt5-small google/byt5-small
Model Size	299.6m
Required VRAM	1.2 GB
Updated	2026-09-14
Maintainer	erdemKocaogluu
Model Type	t5
Model Files	1.2 GB
Supported Languages	tr
Model Architecture	T5ForConditionalGeneration
License	apache-2.0
Transformers Version	4.46.3
Tokenizer Class	ByT5Tokenizer
Padding Token	<pad>
Vocabulary Size	384
Torch Data Type	float32

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Instruction Following and Task Automation
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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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