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GitHub: https://github.com/SalesforceAIResearch/xLAM
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Paper: https://arxiv.org/abs/2402.15506
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License: apache-2.0
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If you already know [Mixtral](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1), xLAM-v0.1 is a significant upgrade and better at many things. For the same number of parameters, the model have been fine-tuned across a wide range of agent tasks and scenarios, all while preserving the capabilities of the original model.
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alt="drawing" width="510"/>
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</div>
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π GitHub: https://github.com/SalesforceAIResearch/xLAM
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π Paper: https://arxiv.org/abs/2402.15506
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π License: apache-2.0
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If you already know [Mixtral](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1), xLAM-v0.1 is a significant upgrade and better at many things. For the same number of parameters, the model have been fine-tuned across a wide range of agent tasks and scenarios, all while preserving the capabilities of the original model.
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