Original model: rubra-ai/Qwen2-7B-Instruct

The model is the result of further post-training Qwen/Qwen2-7B-Instruct. It is capable of complex multi-turn tool/function calling.

The model was post-trained (freeze tuned & DPO) on a proprietary dataset consisting of diverse function calling, chat, and instruct data.

Refer to https://docs.rubra.ai/inference/llamacpp for usage. Feel free to ask/open issues up in our Github repo: https://github.com/rubra-ai/rubra

While the model performs well on a wide range of tasks, it may still produce biased or incorrect outputs. Users should exercise caution and critical judgment when using the model in sensitive or high-stakes applications. The model's outputs are influenced by the data it was trained on, which may contain inherent biases.

Users should ensure that the deployment of this model adheres to ethical guidelines and consider the potential societal impact of the generated text. Misuse of the model for generating harmful or misleading content is strongly discouraged.

We would like to thank Alibaba Cloud for the model.

For questions or comments about the model, please reach out to the rubra team.

If you use this work, please cite it as:

@misc {rubra_ai_2024,
	author       = { Sanjay Nadhavajhala and Yingbei Tong },
	title        = { Rubra-Qwen2-7B-Instruct },
	year         = 2024,
	url          = { https://huggingface.co/rubra-ai/Qwen2-7B-Instruct },
	doi          = { 10.57967/hf/2683 },
	publisher    = { Hugging Face }
}