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README.md
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license: cc-by-nc-4.0
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# Octopus Planner: On-device Language Model for
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We're thrilled to introduce the Octopus Planner, the latest breakthrough in on-device language models from Nexa AI. Developed for the Planner-Action Agents Framework, Octopus Planner leverages state-of-the-art technology to enhance AI agents' decision-making processes directly on edge devices. By enabling rapid and efficient planning and action execution without the need for cloud connectivity, this model together with [Octopus-V2](https://huggingface.co/NexaAIDev/Octopus-v2) can work on edge devices locally to support AI Agent usages.
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- **Comprehensive Benchmarking**: Includes rigorous in-domain testing to validate the model's effectiveness in real-world scenarios.
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## Example Usage
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Below is a code snippet to use Octopus Planner
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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---
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license: cc-by-nc-4.0
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---
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# Octopus Planner: On-device Language Model for Planner-Action Agents Framework
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We're thrilled to introduce the Octopus Planner, the latest breakthrough in on-device language models from Nexa AI. Developed for the Planner-Action Agents Framework, Octopus Planner leverages state-of-the-art technology to enhance AI agents' decision-making processes directly on edge devices. By enabling rapid and efficient planning and action execution without the need for cloud connectivity, this model together with [Octopus-V2](https://huggingface.co/NexaAIDev/Octopus-v2) can work on edge devices locally to support AI Agent usages.
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- **Comprehensive Benchmarking**: Includes rigorous in-domain testing to validate the model's effectiveness in real-world scenarios.
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## Example Usage
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Below is a code snippet to use Octopus Planner:
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<p align="center" width="100%">
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<a><img src="1-demo.png" alt="ondevice" style="width: 80%; min-width: 300px; display: block; margin: auto;"></a>
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</p>
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Run below code to use Octopus Planner for a given question:
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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