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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ language: en
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+ license: mit
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+ tags:
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+ - text-generation-inference
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+ - transformers
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+ - Phi3
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+ - kubernetes
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+ base_model: unsloth/Phi-3-mini-4k-instruct
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+ datasets:
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+ - andyburgin/kubefix
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+ ---
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+
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+ # Phi-3-mini-4k-instruct-kubefix-v0.1-gguf: Fine-Tuned Phi3 for Kubernetes fault resolution
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+ The purpose of this model is for use with [K8sGPT](https://k8sgpt.ai/) for fault analysis and resolution. Ultimately the resulting LLM is intended to be self-hosted in a GPU free environment running under [local-ai](https://localai.io/basics/kubernetes/) in Kubernetes.
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+ The model was finetuned on [andyburgin/kubefix](https://huggingface.co/datasets/andyburgin/kubefix) which contains a series of Question and Answer pairs generated from a subset of the Kubernetes documentation from the [English markdown files](https://github.com/kubernetes/website/tree/main/content/en/docs). The Q&A pairs have been generated from the documents using an opensource model (to avoid licencing issues for some free models or SaasS services) - after much trial and error the [openchat-3.5-0106](https://huggingface.co/TheBloke/openchat-3.5-0106-GGUF) model was found to be the least problematic.
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+ For a detailed description of the method used to generate the [andyburgin/kubefix](https://huggingface.co/datasets/andyburgin/kubefix) dataset and this model please see the [kubefix-llm repo](https://github.com/andyburgin/kubefix-llm).
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+ **Model & Development**
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+ - **Developed by:** andyburgin
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+ - **License:** mit
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+ - **Finetuned from model:** unsloth/Phi-3-mini-4k-instruct
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+
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+ **Key Features**
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+ - **Kubernetes Focus:** Optimised for fault analysis for Kubernetes clusters with [K8sGPT](https://k8sgpt.ai/).
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+ - **Knowledge Base:** Trained on a genrateed dataset from a subset of the Kubernetes documentation.
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+ - **Text Generation:** Generates informative and potentially helpful responses.
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+ **Important Note**
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+ This model and dataset are under development and v0.1 is the very first release and is likely to need much optimisation and development.
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+ **License**
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+ This model is distributed under the MIT License
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+ **Contributing**
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+ Contributions are welcome to this repository! If you have improvements or suggestions, feel free to create a pull request.
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+ **Disclaimer**
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+ Please note - the dataset and resultant model should be considered highly experimental and used with caution, use at your own risk.
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+ ```