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@@ -51,6 +51,8 @@ The SteerLM method involves the following key steps:
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Llama2-70B-SteerLM-Chat applies this technique on top of the Llama 2 70B Foundational model architecture. It was pretrained on internet-scale data and then aligned using [Open Assistant](https://huggingface.co/datasets/OpenAssistant/oasst1) and [HelpSteer](https://huggingface.co/datasets/nvidia/HelpSteer).
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## Software Integration:
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**Runtime Engine(s):**
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Llama2-70B-SteerLM-Chat applies this technique on top of the Llama 2 70B Foundational model architecture. It was pretrained on internet-scale data and then aligned using [Open Assistant](https://huggingface.co/datasets/OpenAssistant/oasst1) and [HelpSteer](https://huggingface.co/datasets/nvidia/HelpSteer).
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You can train the model using [NeMo Aligner](https://github.com/NVIDIA/NeMo-Aligner) following [SteerLM training user guide](https://docs.nvidia.com/nemo-framework/user-guide/latest/modelalignment/steerlm.html) or run inference based on steps below.
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## Software Integration:
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**Runtime Engine(s):**
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