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title: README
emoji: 😻
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---
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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
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+--------------------------------------------------------+-------------------+------------------+------------+-------------+
| 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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