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title: README
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## Welcome to Scikit-plots on Hugging Face Hub 🤗💙💚

This initiative brings together open-source contributors and ML practitioners to advance the interpretability and evaluation of machine learning models — including scikit-learn, XGBoost, CatBoost, TensorFlow, and more.

Explore intuitive visualization tools, diagnostic plots, interactive demos, and resources — all designed to make your models more transparent, trustworthy, and easier to understand.


See Also:
---------
- https://huggingface.co/welcome
- https://hub.docker.com/r/scikitplot/scikit-plots


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Empowering ML practitioners with clear, insightful, and interactive AI-driven explanations to enhance understanding and foster trust.


Selected AI Models
------------------

+--------------------------------------------------------+-------------------+------------------+------------+-------------+
| Model                                                  | Task              | Last Updated     | Downloads  | Likes       |
+========================================================+===================+==================+============+=============+
| HuggingFaceH4/zephyr-7b-beta                           | Text Generation   | Oct 16, 2024     | 595k       | 1.72k       |
+--------------------------------------------------------+-------------------+------------------+------------+-------------+
| meta-llama/Llama-2-7b-chat-hf                          | Text Generation   | Apr 17, 2024     | 1.23M      | 4.43k       |
+--------------------------------------------------------+-------------------+------------------+------------+-------------+
| mistralai/Mistral-7B-Instruct                          | Text Generation   | Nov 2024         | 3.1M       | 6.21k       |
+--------------------------------------------------------+-------------------+------------------+------------+-------------+
| google/flan-t5-small                                   | Text Generation   | Oct 2023         | 2.7M       | 3.58k       |
+--------------------------------------------------------+-------------------+------------------+------------+-------------+
| mistralai/tiny-random-LM                               | Text Generation   | Mar 2024         | 145k       | 610         |
+--------------------------------------------------------+-------------------+------------------+------------+-------------+

ModelSight Tuned Variants
--------------------------

+-----------------------------+--------------+----------------------------------------------+----------------------------------------------+
| Model Name                  | Size         | Strengths                                    | Use Case                                     |
+=============================+==============+==============================================+==============================================+
| modelsight-zephyr-7b        | 7B params    | SOTA chat/assistant, very contextual         | Deep, interactive, rich explanations         |
+-----------------------------+--------------+----------------------------------------------+----------------------------------------------+
| modelsight-llama2-7b        | 7B params    | Balanced, chat-optimized, open weights       | Scalable, efficient, powerful AI assistant   |
+-----------------------------+--------------+----------------------------------------------+----------------------------------------------+
| modelsight-mistral-7b       | 7B params    | Compact, high-performance, fast response     | Assistant, educational tools, reasoning      |
+-----------------------------+--------------+----------------------------------------------+----------------------------------------------+
| modelsight-flan-t5-small    | ~80M params  | Instruction-tuned, very lightweight          | Cost-efficient reasoning or microservices    |
+-----------------------------+--------------+----------------------------------------------+----------------------------------------------+
| modelsight-tiny-demo        | <100M params | Minimalist, tiny LLM for demo or testing use | Local testing, architecture pipelines        |
+-----------------------------+--------------+----------------------------------------------+----------------------------------------------+
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