Unveiling Octopus V2: Revolutionizing On-Device Language Processing

Unveiling Octopus V2: Revolutionizing On-Device Language Processing

Updated 5th Apr '24

Exploring the Capabilities of Octopus V2: The On-Device Language Model Revolution

Introduction to Octopus V2-2B

Octopus V2-2B represents a significant leap forward in the realm of on-device language models. With its 2 billion parameters, this advanced, open-source language model is specifically tailored for function calling. It showcases unparalleled proficiency in generating individual, nested, and parallel function calls across a myriad of complex scenarios. This capability positions Octopus V2-2B as a pivotal tool in the development and execution of sophisticated on-device applications.

On-Device Applications

Designed with versatility in mind, Octopus V2-2B thrives in the Android ecosystem. Its application range is vast, covering everything from Android system management to the orchestration of multiple devices. This adaptability ensures that Octopus V2-2B can meet the diverse needs of developers looking to leverage on-device language processing for a wide array of purposes.

Unmatched Inference Speed

One of the most compelling attributes of Octopus V2-2B is its inference speed. It stands out by being 36 times faster than the "Llama7B + RAG solution" when operating on a single A100 GPU. Furthermore, when compared to GPT-4-turbo, Octopus V2-2B demonstrates a 168% increase in speed. This remarkable performance underscores the model's efficiency and its potential to significantly reduce processing times in real-world applications.

Superior Accuracy

Accuracy is another domain where Octopus V2-2B excels. It surpasses the "Llama7B + RAG solution" by 31% in function calling accuracy. Moreover, it achieves function call accuracy rates comparable to those of GPT-4 and RAG + GPT-3.5, with scores ranging between 98% and 100% across benchmark datasets. This high level of accuracy ensures that Octopus V2-2B can be reliably used in applications where precision is paramount.


Octopus V2-2B emerges as a formidable tool in the landscape of on-device language processing. Its exceptional capabilities in function calling, coupled with its adaptability, speed, and accuracy, make it an invaluable asset for developers. As we continue to explore the potential of on-device language models, Octopus V2-2B stands out as a beacon of innovation, paving the way for more efficient and accurate applications.


  1. Octopus V2: On-device language model for super agent
  2. Octopus v2: arXiv
  3. Octopus v2:: Synthical