YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/model-cards#model-card-metadata)
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.
- Downloads last month
- 10
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.