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README.md
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---
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datasets:
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- tiiuae/falcon-refinedweb
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language:
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- en
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---
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# Falcon-RW-7B
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**Falcon-RW-7B is a 7B parameters causal decoder-only model built by [TII](https://www.tii.ae) and trained on 350B tokens of [RefinedWeb](https://huggingface.co/datasets/tiiuae/falcon-refinedweb). It is made available under the [TII Falcon LLM License](https://huggingface.co/tiiuae/falcon-rw-7b/blob/main/LICENSE.txt).**
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RefinedWeb is a high-quality web dataset built by leveraging stringent filtering and large-scale deduplication. Falcon-RW-7B, trained on RefinedWeb only, matches or outperforms comparable models trained on curated data.
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This model is intended for use as a research artifact, to study the influence of training on appropriately filtered web data alone.
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# Model Card for Falcon-RW-7B
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## Model Details
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### Model Description
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- **Developed by:** [https://www.tii.ae](https://www.tii.ae)
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- **Model type:** Causal decoder-only
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- **Language(s) (NLP):** English
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- **License:** TII Falcon LLM License
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### Model Source
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- **Paper:** coming soon
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- **Demo:** coming soon
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## Uses
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### Direct Use
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Research on large language models, and the influence of adequately filtered and deduplicated web data on the properties of large language models (fairness, safety, limitations, capabilities, etc.).
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### Out-of-Scope Use
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Production use without adequate assessment of risks and mitigation; any use cases which may be considered irresponsible or harmful
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## Bias, Risks, and Limitations
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Falcon-RW models are trained on English data only, and will not generalize appropriately to other languages. Furthermore, as they are trained on a large-scale corpora representative of the web, they will carry the stereotypes and biases commonly encountered online
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## Paper
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More details coming soon in the paper.
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