Home Community Technology Innovation Institute Open-Sourced Falcon LLMs: A Latest AI Model That Uses Only 75 Percent of GPT-3’s Training Compute, 40 Percent of Chinchilla’s, and 80 Percent of PaLM-62B’s

Technology Innovation Institute Open-Sourced Falcon LLMs: A Latest AI Model That Uses Only 75 Percent of GPT-3’s Training Compute, 40 Percent of Chinchilla’s, and 80 Percent of PaLM-62B’s

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Technology Innovation Institute Open-Sourced Falcon LLMs: A Latest AI Model That Uses Only 75 Percent of GPT-3’s Training Compute, 40 Percent of Chinchilla’s, and 80 Percent of PaLM-62B’s

Falcon-40B

Falcon-40B is a strong decoder-only model developed by TII (Technology Innovation Institute) and trained on an enormous amount of information consisting of 1,000B tokens from RefinedWeb and curated corpora. This model is offered under the TII Falcon LLM License.

The Falcon-40B model is among the finest open-source models available. It surpasses other models equivalent to LLaMA, StableLM, RedPajama, and MPT in performance, as demonstrated on the OpenLLM Leaderboard.

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Considered one of the notable features of Falcon-40B is its optimized architecture for inference. It incorporates FlashAttention, as introduced by Dao et al. in 2022, and multi-query, 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 necessary to notice that Falcon-40B is a raw, pre-trained model, and further fine-tuning is usually really helpful to tailor it to specific use cases. Nonetheless, for applications involving generic instructions in a chat format, a more suitable alternative is Falcon-40B-Instruct.

Falcon-40B is made available under the TII Falcon LLM License, which allows industrial use of the model. Details regarding the license might be obtained individually.

A paper providing further details about Falcon-40B will likely be released soon. The provision of this high-quality open-source model presents a worthwhile resource for researchers, developers, and businesses in various domains.

Falcon 7B

Falcon-7B is a highly advanced causal decoder-only model TII (Technology Innovation Institute) developed. It boasts a powerful parameter count of 7B and has been trained on an in depth dataset of 1,500B tokens derived from RefinedWeb, further enhanced with curated corpora. This model is made accessible under the TII Falcon LLM License.

Considered one of the first reasons for selecting Falcon-7B is its exceptional performance in comparison with other similar open-source models like MPT-7B, StableLM, and RedPajama. The extensive training on the enriched RefinedWeb dataset contributes to its superior capabilities, as demonstrated on the OpenLLM Leaderboard.

Falcon-7B incorporates an architecture explicitly optimized for inference tasks. The model advantages from integrating FlashAttention, a way introduced by Dao et al. in 2022, and multi-query, as described by Shazeer et al. in 2019. These architectural advancements enhance the model’s efficiency and effectiveness during inference operations.

It’s price noting that Falcon-7B is offered under the TII Falcon LLM License, which grants permission for industrial utilization of the model. 

Detailed information concerning the license might be obtained individually.

While a paper providing comprehensive insights into Falcon-7B is yet to be published, the model’s exceptional features and performance make it a useful asset for researchers, developers, and businesses across various domains.


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Niharika

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Niharika is a Technical consulting intern at Marktechpost. She is a 3rd yr undergraduate, currently pursuing her B.Tech from Indian Institute of Technology(IIT), Kharagpur. She is a highly enthusiastic individual with a keen interest in Machine learning, Data science and AI and an avid reader of the most recent developments in these fields.


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