What are the hardware requirements for Coref Bert Base?

Coref Bert Base requires approximately 0.4 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 Coref Bert Base and how large is it?

Coref Bert Base is developed by nielsr. 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 Coref Bert Base?

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

Coref Bert Base by nielsr — VRAM 0.4GB, 0.5K context

Name: Coref Bert Base
Author: nielsr

Coref Bert Base is an open-source language model by nielsr. Features: LLM, VRAM: 0.4GB, Context: 0.5K, License: apache-2.0, LLM Explorer Score: 0.01.

Arxiv:2004.06870 Dataset:docred Dataset:fever Dataset:gap Dataset:nyu-mll/glue Dataset:quoref Dataset:wikipedia Dataset:winogender Dataset:winograd wsc En Endpoints compatible Exbert Pytorch Region:us

Model Card on HF 🤗: https://huggingface.co/nielsr/coref-bert-base

Coref Bert Base Benchmarks

LLME Score: 0.00532

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Coref Bert Base (nielsr/coref-bert-base)

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Coref Bert Base Parameters and Internals

Model Type

transformers, language representation

Additional Notes

Pretrained model focused on coreferential reasoning.

Supported Languages

English (high)

Training Details

Data Sources:

wikipedia, quoref, docred, fever, gap, winograd_wsc, winogender, nyu-mll/glue

Methodology:

Masked Language Modeling (MLM) and Mention Reference Prediction (MRP)

LLM Name	Coref Bert Base
Repository 🤗	https://huggingface.co/nielsr/coref-bert-base
Required VRAM	0.4 GB
Updated	2026-05-20
Maintainer	nielsr
Model Files	0.4 GB
Supported Languages	en
Model Architecture	AutoModel
License	apache-2.0
Context Length	512
Model Max Length	512
Vocabulary Size	28996

Best Alternatives to Coref Bert Base

Best Alternatives	Context / RAM	Downloads	Likes
Argonne 2.5 Ctx13568	13K / 2.4 GB	17	0
Distil Longformer Base 4096	4K / 0.4 GB	5	0
Daedalus 1	1K / GB	5	1
Tiny Random Detr	1K / 0.2 GB	15	0
Opengpt2 Pytorch Backward	1K / 6 GB	6	1
Opengpt2 Pytorch Forward	1K / 6 GB	4	1
Finsent Transformer	0.5K / 0.4 GB	8	1
Bert Chinese L 12 H 768 A 12	0.5K / 0.4 GB	11	1
Simbert Chinese Base	0.5K / 0.4 GB	6	0
Simbert Chinese Tiny	0.5K / 0 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than nielsr/coref-bert-base.

Rank the Coref Bert Base Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20260328a

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Coref Bert Base by nielsr

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Coref Bert Base Benchmarks

Coref Bert Base Parameters and Internals

Best Alternatives to Coref Bert Base

Rank the Coref Bert Base Capabilities

What open-source LLMs or SLMs are you in search of? 53972 in total.