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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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+
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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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+
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+ ### Model Source
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+
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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.