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Check out the documentation for more information.

Original model link: Pclanglais/ScikitLLM-Model.

For imatrix data generation, kalomaze's groups_merged.txt were used, you can find it here.

Original model README below.

ScikitLLM is an LLM finetuned on writing references and code for the Scikit-Learn documentation.

Features of ScikitLLM includes:

Support for RAG (three chunks)
Sources and quotations using a modified version of the wiki syntax ("")
Code samples and examples based on the code quoted in the chunks.
Expanded knowledge/familiarity with the Scikit-Learn concepts and documentation.

Training

ScikitLLM is based on Mistral-OpenHermes 7B, a pre-existing finetune version of Mistral 7B. OpenHermes already include many desired capacities for the end use, including instruction tuning, source analysis, and native support for the chatML syntax.

As a fine-tune of a fine-tune, ScikitLLM has been trained with a lower learning rate than is commonly used in fine-tuning projects.

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Model size

7B params

Architecture

llama

Hardware compatibility

3-bit

4-bit

5-bit

6-bit

8-bit

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