✨ Falcon 7B Instruct Falcon 7B Instruct is a 7B parameters causal decoder only model built by TII based on Falcon 7B and finetuned on a mixture of chat/instruct datasets. It is made available under the Apache 2.0 license. Paper coming soon 😊. 🤗 To get started with Falcon (inference, finetuning, quantization, etc.), we recommend reading this great blogpost fron HF! Why use Falcon 7B Instruct? You are looking for a ready to use chat/instruct model based on Falcon 7B. Falcon 7B is a strong base model, outperforming 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. See the OpenLLM Leaderboard. It features an architecture optimized for inference , with FlashAttention (Dao et al., 2022) and multiquery (Shazeer et al., 2019). 💬 This is an instruct model, which may not be ideal for further finetuning. If you are interested in building your own instruct/chat model, we recommend starting from Falcon 7B. 🔥 Looking for an even more powerful model? Falcon 40B Instruct is Falcon 7B Instruct's big brother! 💥 Falcon LLMs require PyTorch 2.0 for use with transformers ! For fast inference…
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