Falcon-40B
Falcon-40B is a powerful decoder-only model developed by TII (Technology Innovation Institute) and trained on a large amount of data consisting of 1,000B RefinedWeb tokens and selected corpora. This model is available under the TII Falcon LLM license.
The Falcon-40B model is one of the best open source models available. It outperforms other models like LLaMA, StableLM, RedPajama, and MPT in performance, as demonstrated by the OpenLLM leaderboard.
One of the notable features of Falcon-40B is its inference-optimized architecture. It incorporates FlashAttention, as presented by Dao et al. in 2022, and multi-consultation, as described by Shazeer et al. in 2019. These architectural enhancements contribute to the model’s superior performance and efficiency during inference tasks.
It is important to note that the Falcon-40B is a raw, pre-trained model, and finer tuning is typically recommended to suit specific use cases. However, for applications that involve generic instructions in a chat format, a more suitable alternative is Falcon-40B-Instruct.
Falcon-40B is available under the TII Falcon LLM license, which allows commercial use of the model. License details can be obtained separately.
A document with more details about the Falcon-40B will be published soon. The availability of this high-quality open source model presents a valuable resource for researchers, developers, and companies in various domains.
falcon 7b
Falcon-7B is a highly advanced TII (Technology Innovation Institute) model of causal decoder developed. It boasts an impressive 7B parameter count and has been trained on an extensive dataset of 1500B tokens derived from RefinedWeb, further enhanced with curated corpora. This model is available under the TII Falcon LLM license.
One of the main reasons to choose Falcon-7B is its exceptional performance compared to other similar open source models like MPT-7B, StableLM and RedPajama. Extensive training in RefinedWeb’s rich data set contributes to its superior capabilities, as demonstrated by the OpenLLM leaderboard.
Falcon-7B incorporates an architecture explicitly optimized for inference tasks. The model benefits from the integration of FlashAttention, a technique introduced by Dao et al. in 2022, and multi-consultation, as described by Shazeer et al. in 2019. These architectural advances improve the efficiency and effectiveness of the model during inference operations.
It’s worth noting that the Falcon-7B is available under the TII Falcon LLM license, which grants permission for commercial use of the model.
Detailed information about the license can be obtained separately.
While a document providing detailed information on the Falcon-7B has yet to be released, the model’s exceptional features and performance make it an invaluable asset for researchers, developers, and companies in various domains.
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Niharika is a technical consulting intern at Marktechpost. She is a third year student, currently pursuing her B.Tech from the Indian Institute of Technology (IIT), Kharagpur. She is a very enthusiastic person with a strong interest in machine learning, data science, and artificial intelligence and an avid reader of the latest developments in these fields.
