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  We also provide a 3.8B version which is based on Phi-3.5-mini-instruct: [NuExtract-v1.5](https://huggingface.co/numind/NuExtract-v1.5)
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- Try the 3.8B model here: [Playground](https://huggingface.co/spaces/numind/NuExtract-v1.5)
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- **Check out other models by NuMind:**
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- - NuExtract Version 1 Models: [0.5B](https://huggingface.co/numind/NuExtract-tiny), [3.8B](https://huggingface.co/numind/NuExtract), [7B](https://huggingface.co/numind/NuExtract-large)
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- - SOTA Zero-shot NER Model [NuNER Zero](https://huggingface.co/numind/NuNER_Zero)
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- - SOTA Multilingual Entity Recognition Foundation Model: [link](https://huggingface.co/numind/entity-recognition-multilingual-general-sota-v1)
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- - SOTA Sentiment Analysis Foundation Model: [English](https://huggingface.co/numind/generic-sentiment-v1), [Multilingual](https://huggingface.co/numind/generic-sentiment-multi-v1)
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  ## Benchmark
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  We also provide a 3.8B version which is based on Phi-3.5-mini-instruct: [NuExtract-v1.5](https://huggingface.co/numind/NuExtract-v1.5)
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+ Check out the [blog post](https://numind.ai/blog/nuextract-1-5---multilingual-infinite-context-still-small-and-better-than-gpt-4o).
 
 
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+ Try the 3.8B model here: [Playground](https://huggingface.co/spaces/numind/NuExtract-v1.5)
 
 
 
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  ## Benchmark
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