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vivek-dodia/Deepseek-R1-8B-MikroTik-Distilled
Deepseek-R1-8B-MikroTik-Distilled is a machine learning model from vivek-dodia. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
[](https://github.com/ggerganov/llama.cpp)
Downloads · 30 days
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From the Hugging Face model README
This repository contains a fine-tuned version of the unsloth/DeepSeek-R1-Distill-Llama-8B large language model, specialized to act as an expert assistant for MikroTik RouterOS.
Fine-tuned for: Expert-level knowledge and assistance with MikroTik RouterOS networking, including configuration, troubleshooting, and understanding advanced features.
Intended Use: This model is designed for:
Model Architecture: LoRA (Low-Rank Adaptation) fine-tuned DeepSeek-R1-Distill-Llama-8B (8B parameters, Llama architecture). Converted to GGUF format for efficient inference with tools like llama.cpp.
Quantization: GGUF format, [Specify Quantization Type Here, e.g., q4_km] quantization.
The model is provided in GGUF format for efficient inference using llama.cpp and compatible tools.
Download GGUF Model:
Download the mikrotik-expert-model.gguf file from this repository.
Inference with llama.cpp/main (Example):
./main -m mikrotik-expert-model.gguf -p "Below is an instruction that describes a complex and critical task... ### Question: How do I configure a basic DHCP server on MikroTik? ### Response:" -n 500
Datasets Used for Fine-tuning:
The model was fine-tuned using a combination of these datasets:
Acknowledgements:
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