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  ## Overview
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- Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source chat models on common industry benchmarks. Further, in developing these models, we took great care to optimize helpfulness and safety.
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  ## Variants
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  | 1 | [mini-onnx](https://huggingface.co/cortexhub/phi3/tree/mini-onnx) | `cortex run phi3:mini-onnx` |
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  | 2 | [mini-gguf](https://huggingface.co/cortexhub/phi3/tree/mini-gguf) | `cortex run phi3:mini-gguf` |
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  | 3 | [medium-gguf](https://huggingface.co/cortexhub/phi3/tree/medium-gguf) | `cortex run phi3:medium-gguf` |
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- | 4 | [medium-onnx](https://huggingface.co/cortexhub/phi3/tree/medium-onnx) | `cortex run phi3:medium-onnx |
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  ## Use it with Jan (UI)
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  ## Overview
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+ The Phi-3, state-of-the-art open model trained with the Phi-3 datasets that includes both synthetic data and the filtered publicly available websites data with a focus on high-quality and reasoning dense properties. The model belongs to the Phi-3 family with the 4B, 7B version in two variants 8K and 128K which is the context length (in tokens) that it can support.
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  ## Variants
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  | 1 | [mini-onnx](https://huggingface.co/cortexhub/phi3/tree/mini-onnx) | `cortex run phi3:mini-onnx` |
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  | 2 | [mini-gguf](https://huggingface.co/cortexhub/phi3/tree/mini-gguf) | `cortex run phi3:mini-gguf` |
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  | 3 | [medium-gguf](https://huggingface.co/cortexhub/phi3/tree/medium-gguf) | `cortex run phi3:medium-gguf` |
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+ | 4 | [medium-onnx](https://huggingface.co/cortexhub/phi3/tree/medium-onnx) | `cortex run phi3:medium-onnx` |
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  ## Use it with Jan (UI)
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