Falcon 180b vs. Llama 2 70b: A Deep Learning Model Showdown

Falcon 180b


The Institute of Technological Innovations from the UAE has unveiled Falcon 180B, the largest open language model, displacing Llama 2 from the top spot in the rankings of pre-trained open-access language models by HuggingFace. The model was trained on 3.5 trillion tokens using the RefinedWeb dataset. Falcon boasts 180 billion parameters, which is 2.6 times more than the previous leader, Llama 70B, requiring 8 Nvidia A100 GPUs and 400GB of space for inference. You can test the model on HuggingFace, and the model’s code is also available there.

What is Falcon-180B?

Falcon 180B is a model released by TII that follows previous releases in the Falcon family.

Architecture-wise, Falcon 180B is a scaled-up version of Falcon 40B and builds on its innovations such as multiquery attention for improved scalability. It was trained on 3.5 trillion tokens on up to 4096 GPUs simultaneously, using Amazon SageMaker for a total of ~7,000,000 GPU hours. This means Falcon 180B is 2.5 times larger than Llama 2 and was trained with 4x more compute.

Hardware requirements

We ran several tests on the hardware needed to run the model for different use cases. Those are not the minimum numbers, but the minimum numbers for the configurations we had access to.

Falcon 180BTrainingFull fine-tuning5120GB8x 8x A100 80GB
Falcon 180BTrainingLoRA with ZeRO-31280GB2x 8x A100 80GB
Falcon 180BTrainingQLoRA160GB2x A100 80GB
Falcon 180BInferenceBF16/FP16640GB8x A100 80GB
Falcon 180BInferenceGPTQ/int4320GB8x A100 40GB

Model Architecture

Falcon 180B, a fine-tuned version of Falcon 40B, utilizes a multi-query attention mechanism for enhanced scalability. The conventional multi-head attention scheme features one query, key, and value for each head, whereas the multi-query approach uses a single key and value for all “heads.”


The model was trained on 4096 GPUs, which took approximately 7,000,000 GPU hours on Amazon SageMaker. Compared to Llama 2, training Falcon 180B required four times more computational power.

Contact us to “Get your enterprise grade chatbot powered by falcon 180b” info@endevsols.com

Source: https://huggingface.co/blog/falcon-180b

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