Falcon vs. Phi
LLM Comparison
Falcon
Overview
Falcon LLM is the flagship LLM of the Technology Innovation Institute in Abu Dhabi.
Falcon LLM is a powerful LLM developed by the Technology Innovation Institute (https://www.tii.ae). Unlike other popular LLMs, Falcon was not built off of LLaMA, but instead using a custom data pipeline and distributed training system. The dataset is the RefinedWeb dataset (available on Hugging Face), and the initial models are available in 7B and 40B forms. Instruct and chat-finetuned models are available as well. Perhaps most excitingly, Falcon outperforms LLaMA, the previous de facto pretrained LLM.
Initial release: 2023-05-23
Reference
Phi
Overview
Phi is a series of compact language models developed by Microsoft using high-quality synthetic data and curated web content. Phi-3 and Phi-3.5 (2024) significantly raised the bar for small models, with the 3.8B Phi-3 Mini matching much larger open-source models on key benchmarks.
Phi-1 and Phi-2 are 1.3B and 2.7B parameter language models, respectively, developed by Microsoft to demonstrate the ability of smaller language models trained on high-quality data. In April 2024, Phi-3 was released across Mini (3.8B), Small (7B), and Medium (14B) sizes. Phi-3 Mini achieves performance competitive with Llama 3 8B and Mistral 7B at a fraction of the compute, making it ideal for edge and constrained-resource deployments. Phi-3.5 Mini and MoE followed in August 2024 with further improvements.
Initial release: 2023-06-20
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Sapling APIMore Comparisons
Falcon |
Phi |
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| Products & Features | ||
| Instruct Models | ||
| Coding Capability | ||
| Customization | ||
| Finetuning | ||
| Open Source | ||
| License | Apache 2.0 | MIT |
| Model Sizes | 7B, 40B | 1.3B, 2.7B, 3.8B, 7B, 14B |