Large language models
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- 💥 TII has open-sourced Falcon-180B for research and commercial utilization! Access the 180B, as well as 7B/40B models, and explore our high-quality web dataset, RefinedWeb.
- ✨ Falcon-40B/7B are now available under the Apache 2.0 license, TII has waived all royalties and commercial usage restrictions.
Falcon LLM is TII's flagship series of large language models, built from scratch using a custom data pipeline and distributed training library. Papers coming soon 😊.
To promote collaborations and drive innovation, we have open-sourced a number of artefacts:
- The Falcon-180B pretrained and chat models, under the Falcon-180B TII license. Falcon-180B is the largest and most powerful open-access model available.
- The Falcon-7/40B pretrained and instruct models, under the Apache 2.0 software license . Falcon-7B/40B models are state-of-the-art for their size, outperforming other open-source models on NLP benchmarks.
- The RefinedWeb dataset, a massive web dataset with stringent filtering and large-scale deduplication, enabling models trained on web data alone to match or outperform models trained on curated corpora. See 📓 the paper for more information. RefinedWeb is licensed under ODC-By 1.0.
See below for a detailed list of artefacts in the Falcon LLM family:
|🥇 Falcon-180B||Here||pretrained model||180B parameters trained on 3,500 billion tokens.|
|Falcon-180B-Chat||Here||chat model||Falcon-180B finetuned on a mixture of Ultrachat, Platypus and Airoboros.|
|🥈 Falcon-40B||Here||pretrained model||40B parameters trained on 1,000 billion tokens.|
|Falcon-40B-Instruct||Here||instruction/chat model||Falcon-40B finetuned on the Baize dataset.|
|🥉 Falcon-7B||Here||pretrained model||6.7B parameters trained on 1,500 billion tokens.|
|Falcon-7B-Instruct||Here||instruction/chat model||Falcon-7B finetuned on the Baize, GPT4All, and GPTeacher datasets.|
|📀 RefinedWeb||Here||pretraining web dataset||~600 billion "high-quality" tokens.|
|Falcon-RW-1B||Here||pretrained model||1.3B parameters trained on 350 billion tokens.|
|Falcon-RW-7B||Here||pretrained model||7.5B parameters trained on 350 billion tokens.|
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