Falcon-7B

Falcon-7B is a 7B parameters causal decoder-only model built by TII and trained on 1,500B tokens of RefinedWeb enhanced with curated corpora. It outperforms comparable open-source models (e.g., MPT-7B, StableLM, RedPajama etc.), thanks to being trained on 1,500B tokens of RefinedWeb enhanced with curated corpora. It features an architecture optimized for inference, with FlashAttention and multiquery. It is made available under the Apache 2.0 license.

Falcon-7B on Qubrid AI Model Studio

We have simplified how you can use or fine-tune Falcon-7B on our AI Model Studio running on Qubrid’s AI Cloud. Powered by NVIDIA GPUs, we offer you performance with simplicity so you can build your Falcon-7B applications quickly without the need to setup or install anything. Login to try for free.

Learn how to Fine-tune AI Models on Qubrid AI Platform

AI Model Author: Technology Innovation Institute (TII)

This model is not owned or developed by Qubrid AI. This model has been developed and built to a third-party’s requirements for this application and use case.

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Falcon-7B is a 7B parameters causal decoder-only model built by TII and trained on 1,500B tokens of RefinedWeb enhanced with curated corpora. It outperforms comparable open-source models (e.g., MPT-7B, StableLM, RedPajama etc.), thanks to being trained on 1,500B tokens of RefinedWeb enhanced with curated corpora. It features an architecture optimized for inference, with FlashAttention and multiquery. It is made available under the Apache 2.0 license.

Falcon-7B on Qubrid AI Model Studio

We have simplified how you can use or fine-tune Falcon-7B on our AI Model Studio running on Qubrid’s AI Cloud. Powered by NVIDIA GPUs, we offer you performance with simplicity so you can build your Falcon-7B applications quickly without the need to setup or install anything. Login to try for free.

Learn how to Fine-tune AI Models on Qubrid AI Platform

AI Model Author: Technology Innovation Institute (TII)

This model is not owned or developed by Qubrid AI. This model has been developed and built to a third-party’s requirements for this application and use case.

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