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

Bert Base Romanian Uncased 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 Uncased V1 and how large is it?

Bert Base Romanian Uncased 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 Uncased V1?

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

Name: Bert Base Romanian Uncased V1
Author: dumitrescustefan

Bert Base Romanian Uncased 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.

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

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

Bert Base Romanian Uncased V1 Parameters and Internals

Model Type

fill-mask

Use Cases

Areas:

research

Applications:

NLP tasks

Primary Use Cases:

Part of Speech tagging (UPOS, XPOS), Named Entity Recognition (NER)

Supported Languages

Romanian (Native)

Training Details

Data Sources:

OPUS, OSCAR, Wikipedia

Data Volume:

15GB after cleaning

Model Architecture:

base, uncased

Input Output

Accepted Modalities:

text

Output Format:

encodings (hidden states)

Performance Tips:

Ensure text is sanitized by replacing cedilla 's' and 't' with comma versions.

LLM Name	Bert Base Romanian Uncased V1
Repository 🤗	https://huggingface.co/dumitrescustefan/bert-base-romanian-uncased-v1
Model Size	125.1m
Required VRAM	0.5 GB
Updated	2026-07-03
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

Rank the Bert Base Romanian Uncased V1 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 Bert Base Romanian Uncased V1

Best Alternatives	Context / RAM	Downloads	Likes
Bert Base Romanian Cased V1	0.5K / 0.5 GB	7379	16

Note: green Score (e.g. "73.2") means that the model is better than dumitrescustefan/bert-base-romanian-uncased-v1.