by bublint · Agent Tool · ★ 543
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Unreal Engine 5 Llama LoRA Table of Contents Project Description How to Replicate Results and Examples Limitations and Future Improvements License Acknowledgements Project Description A proof of concept for using natural language processing (NLP) to create a documentation assistant that can intelligently respond to user queries. Specifically, I webscraped all of Unreal Engine 5.1's documentation into a single text file to use a dataset for finetuning Meta's llama-7b in oobabooga's text generation webui. I think that locally hosted and trained LoRAs have the potential to be an interesting alternative to OpenAI API calls and vector databases for building context aware assistants to help with niche tasks and information. How to Replicate You'll need to have oobabooga's text generation webui set up, it's a great tool with the goal of being the stable-diffusion-webui equivalent for locally running and training large language models. I suppose you could also train the LoRA some other way, but this is what I used. If you're on windows, the new one-click installer is very helpful. Once you have it up and running, you'll need to pick a base model.
| Stars | 543 |
| Forks | 42 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 57.6056167865409/100 |
| Open Issues | 6 |
| Last Updated | 2023-04-09 |
| Created | 2023-04-09 |
| Platforms | python |
| Est. Tokens | ~274k |
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ue5-llama-lora is A proof-of-concept project that showcases the potential for using small, locally trainable LLMs to create next-generation documentation tools.. It is categorized as a Agent Tool with 543 GitHub stars.
ue5-llama-lora is primarily written in Python.
You can find installation instructions and usage details in the ue5-llama-lora GitHub repository at github.com/bublint/ue5-llama-lora. The project has 543 stars and 42 forks, indicating an active community.
ue5-llama-lora is released under the MIT license, making it free to use and modify according to the license terms.
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