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Add usage recommendations

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  *Paper coming soon 😊.*
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  ## Why use Falcon-40B?
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  * **It is the best open-source model currently available.** Falcon-40B outperforms [LLaMA](https://github.com/facebookresearch/llama), [StableLM](https://github.com/Stability-AI/StableLM), [RedPajama](https://huggingface.co/togethercomputer/RedPajama-INCITE-Base-7B-v0.1), [MPT](https://huggingface.co/mosaicml/mpt-7b), etc. See the [OpenLLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
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  πŸ’₯ **Falcon LLMs require PyTorch 2.0 for use with `transformers`!**
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  # Model Card for Falcon-40B
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  *Paper coming soon 😊.*
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+ πŸ€— To get started with Falcon (inference, finetuning, quantization, etc.), we recommend reading [this great blogpost fron HF](https://huggingface.co/blog/falcon)!
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  ## Why use Falcon-40B?
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  * **It is the best open-source model currently available.** Falcon-40B outperforms [LLaMA](https://github.com/facebookresearch/llama), [StableLM](https://github.com/Stability-AI/StableLM), [RedPajama](https://huggingface.co/togethercomputer/RedPajama-INCITE-Base-7B-v0.1), [MPT](https://huggingface.co/mosaicml/mpt-7b), etc. See the [OpenLLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
 
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  πŸ’₯ **Falcon LLMs require PyTorch 2.0 for use with `transformers`!**
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+ For fast inference with Falcon, check-out [Text Generation Inference](https://github.com/huggingface/text-generation-inference)! Read more in this [blogpost]((https://huggingface.co/blog/falcon).
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+ You will need **at least 85-100GB of memory** to swiftly run inference with Falcon-40B.
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  # Model Card for Falcon-40B
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