What are the hardware requirements for Bert Base Romanian Cased V1?

Bert Base Romanian Cased V1 requires approximately 0.5 GB of VRAM and supports a context window of 0.5K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Bert Base Romanian Cased V1 and how large is it?

Bert Base Romanian Cased V1 is developed by dumitrescustefan, a model with 125.1m 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 Bert Base Romanian Cased V1?

Bert Base Romanian Cased V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Bert Base Romanian Cased V1 by dumitrescustefan — VRAM 0.5GB, 0.5K context

Name: Bert Base Romanian Cased V1
Author: dumitrescustefan

Bert Base Romanian Cased V1 is an open-source language model by dumitrescustefan. Features: 125.1m LLM, VRAM: 0.5GB, Context: 0.5K, License: mit, LLM Explorer Score: 0.02.

Bert Deploy:azure Endpoints compatible Fill-mask Jax Pytorch Region:us Ro Safetensors

Model Card on HF 🤗: https://huggingface.co/dumitrescustefan/bert-base-romanian-cased-v1

Bert Base Romanian Cased V1 Parameters and Internals

Model Type

fill-mask

Additional Notes

The model was NOT trained on cedilla s and t.

Supported Languages

Romanian (cased)

Training Details

Data Sources:

OPUS, OSCAR, Wikipedia

Data Volume:

15GB

Input Output

Performance Tips:

Remember to sanitize text by replacing 'ţ' with 'ț' and 'ş' with 'ș'.

LLM Name	Bert Base Romanian Cased V1
Repository 🤗	https://huggingface.co/dumitrescustefan/bert-base-romanian-cased-v1
Model Size	125.1m
Required VRAM	0.5 GB
Updated	2026-08-03
Maintainer	dumitrescustefan
Model Type	bert
Model Files	0.5 GB 0.5 GB
Supported Languages	ro
Model Architecture	AutoModel
License	mit
Context Length	512
Model Max Length	512
Vocabulary Size	50000

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