chandar-lab/NeoBERT
feature-extraction model by chandar-lab
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Model card & documentation
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[](https://huggingface.co/chandar-lab/NeoBERT) NeoBERT is a next-generation encoder model for English text representation, pre-trained from scratch on the RefinedWeb dataset. NeoBERT integrates state-of-the-art advancements in architecture, modern data, and optimized pre-training methodologies. It is designed for seamless adoption: it serves as a plug-and-play replacement for existing base models, relies on an optimal depth-to-width ratio, and leverages an extended context length of 4,096 tokens. Despite its compact 250M parameter footprint, it is the most efficient model of its kind and achieves state-of-the-art results on the massive MTEB benchmark, outperforming BERT large, RoBERTa large, NomicBERT, and ModernBERT under identical fine-tuning conditions. Ensure you have…
Read the full model card ↗ · Preview checked 2026-09-25T06:38:42.224Z
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Model overview
chandar-lab/NeoBERT is a feature-extraction model repository published by chandar-lab on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- feature-extraction
- Library
- transformers
- Recent downloads (30 days)
- 105,225
- Cumulative likes
- 199
- Hugging Face trending score
- 1
- Reported safetensors parameters
- 245,136,954
- Architecture
- NeoBERTLMHead
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2025-02-28T03:54:11.000Z
- Last modified
- 2025-03-25T13:40:50.000Z
Compatibility and lineage
Reported languages: en
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-25T06:38:38.450Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.