Falcon-40B
Falcon-40B is a powerful decoder-only model developed by the Technology Innovation Institute (TII), trained on massive amounts of data consisting of 1,000B tokens from the RefinedWeb and a curated corpus. 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 such as LLaMA, StableLM, RedPajama and MPT as demonstrated on the OpenLLM Leaderboard.
One of the notable features of Falcon-40B is its optimized architecture for inference. It incorporates the FlashAttendant introduced by Dao et al. In 2022, it will also enable multi-queries as described by Shazeer et al. These architectural enhancements contribute to the model’s superior performance and efficiency during inference tasks.
It is important to note that Falcon-40B is a raw pre-trained model and further fine-tuning is usually recommended to tune it for specific use cases. However, for applications containing general instructions in chat format, Falcon-40B-Instruct is a better alternative.
The Falcon-40B is available under the TII Falcon LLM license, which allows commercial use of the model. Details regarding licensing are available separately.
A paper will be published soon that will provide further details on the Falcon-40B. The availability of this high-quality open-source model is a valuable resource for researchers, developers, and companies in many fields.
Falcon 7B
Falcon-7B is an advanced causal decoder-only model developed by TII (Technology Innovation Institute). It boasts a staggering 7B parameters, has been trained on an extensive dataset of 1,500B tokens derived from RefinedWeb, and further enhanced with a hand-picked corpus. This model is accessible under the TII Falcon LLM license.
One of the main reasons for choosing Falcon-7B is its superior performance compared to other similar open source models such as MPT-7B, StableLM and RedPajama. Extensive training on enhanced RefinedWeb datasets contributes to its superior capabilities, as demonstrated on the OpenLLM Leaderboard.
Falcon-7B incorporates an architecture explicitly optimized for inference tasks. This model benefits from integrating his FlashAttendant, a technique introduced by Dao et al. In 2022, it will also enable multi-queries as described by Shazeer et al. 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.
Further information on licensing is available separately.
Although no paper has yet been published that provides comprehensive insight into Falcon-7B, the superior features and performance of this model have made it a valuable asset for researchers, developers, and companies in various fields. .
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Niharika is a technical consulting intern at Marktechpost. She is in her third year of undergraduate studies and is currently completing her Bachelor’s degree at the Indian Institute of Technology (IIT), Kharagpur. She is a very passionate person who has a keen interest in machine learning, data her science, AI and avid reader of the latest developments in these fields.
