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README.md
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---
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license: apache-2.0
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datasets:
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- bengsoon/volve_alpaca
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language:
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- en
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base_model:
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- Meta/Meta-Llama-3-8B
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pipeline_tag: summarization
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tags:
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- oil-and-gas
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- energy
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- drilling
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---
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# DriLLM Summarizer
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## Background
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This is a fine-tuned model from [Meta/Meta-Llama-3-8B](https://huggingface.co/Meta/Meta-Llama-3-8B). The model was
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The motivation behind this model was to fine-tune an LLM that is capable of understanding the nuances of the Drilling Operations and provide summarizations based on the inputs from Daily Drilling Reports hourly
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## How to use
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### Recommended template for DriLLM summarization:
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---
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license: apache-2.0
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datasets:
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- bengsoon/volve_alpaca
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language:
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- en
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base_model:
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- Meta/Meta-Llama-3-8B
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pipeline_tag: summarization
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tags:
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- oil-and-gas
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- energy
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- drilling
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---
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# DriLLM Summarizer
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## Background
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This is a fine-tuned model from [Meta/Meta-Llama-3-8B](https://huggingface.co/Meta/Meta-Llama-3-8B). The model was fine-tuned with [Volve DDR dataset](https://huggingface.co/datasets/bengsoon/volve_alpaca) using the Alpaca template, using [Axolotl](https://github.com/axolotl-ai-cloud/axolotl).
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The motivation behind this model was to fine-tune an LLM that is capable of understanding the nuances of the Drilling Operations and provide 24-hour summarizations based on the inputs from Daily Drilling Reports hourly activities.
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## How to use
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### Recommended template for DriLLM summarization:
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