Arxiv:2004.06870 Dataset:docred Dataset:fever Dataset:gap Dataset:glue Dataset:quoref Dataset:wikipedia Dataset:winogender Dataset:winograd wsc En Endpoints compatible Exbert Pytorch Region:us
Coref Roberta Large Benchmarks
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 Roberta Large Parameters and Internals
| LLM Name | Coref Roberta Large |
| Repository 🤗 | https://huggingface.co/nielsr/coref-roberta-large |
| Required VRAM | 1.4 GB |
| Updated | 2024-09-07 |
| Maintainer | nielsr |
| Model Files | |
| Supported Languages | en |
| Model Architecture | AutoModel |
| License | apache-2.0 |
| Context Length | 514 |
| Model Max Length | 514 |
| Vocabulary Size | 50265 |
Best Alternatives to Coref Roberta Large
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Distil Longformer Base 4096 | 4K / 0.4 GB | 6 | 0 |
| Daedalus 1 | 1K / GB | 6 | 1 |
| Opengpt2 Pytorch Backward | 1K / 6 GB | 182 | 1 |
| Tiny Random Detr | 1K / 0.2 GB | 5 | 0 |
| Opengpt2 Pytorch Forward | 1K / 6 GB | 3 | 1 |
| Finsent Transformer | 0.5K / 0.4 GB | 2 | 1 |
| Bert Chinese L 12 H 768 A 12 | 0.5K / 0.4 GB | 8 | 1 |
| Simbert Chinese Base | 0.5K / 0.4 GB | 6 | 0 |
| Simbert Chinese Tiny | 0.5K / 0 GB | 5 | 0 |
| All MiniLM L12 V2 | 0.5K / GB | 1002 | 3 |
Note: green Score (e.g. "73.2") means that the model is better than nielsr/coref-roberta-large .
Rank the Coref Roberta Large Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803