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This model was converted to GGUF format from [`arcee-ai/Llama-3.1-SuperNova-Lite`](https://huggingface.co/arcee-ai/Llama-3.1-SuperNova-Lite) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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Refer to the [original model card](https://huggingface.co/arcee-ai/Llama-3.1-SuperNova-Lite) for more details on the model.
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## Use with llama.cpp
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Install llama.cpp through brew (works on Mac and Linux)
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This model was converted to GGUF format from [`arcee-ai/Llama-3.1-SuperNova-Lite`](https://huggingface.co/arcee-ai/Llama-3.1-SuperNova-Lite) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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Refer to the [original model card](https://huggingface.co/arcee-ai/Llama-3.1-SuperNova-Lite) for more details on the model.
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Model details:
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Overview
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Llama-3.1-SuperNova-Lite is an 8B parameter model developed by Arcee.ai, based on the Llama-3.1-8B-Instruct architecture. It is a distilled version of the larger Llama-3.1-405B-Instruct model, leveraging offline logits extracted from the 405B parameter variant. This 8B variation of Llama-3.1-SuperNova maintains high performance while offering exceptional instruction-following capabilities and domain-specific adaptability.
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The model was trained using a state-of-the-art distillation pipeline and an instruction dataset generated with EvolKit, ensuring accuracy and efficiency across a wide range of tasks. For more information on its training, visit blog.arcee.ai.
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Llama-3.1-SuperNova-Lite excels in both benchmark performance and real-world applications, providing the power of large-scale models in a more compact, efficient form ideal for organizations seeking high performance with reduced resource requirements.
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---
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## Use with llama.cpp
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Install llama.cpp through brew (works on Mac and Linux)
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