https://github.com/seungjaelim/k-hyunmoogpt
[K-Data Science Hackaton 3rd Award] Development and use of Korean large-scale generative language models
https://github.com/seungjaelim/k-hyunmoogpt
chromadb fine-tuning gradio koalpaca llm llm-inference rag sbert
Last synced: about 2 months ago
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[K-Data Science Hackaton 3rd Award] Development and use of Korean large-scale generative language models
- Host: GitHub
- URL: https://github.com/seungjaelim/k-hyunmoogpt
- Owner: SeungjaeLim
- License: mit
- Created: 2023-12-01T05:41:23.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2023-12-01T05:54:14.000Z (almost 2 years ago)
- Last Synced: 2024-12-02T23:11:45.549Z (12 months ago)
- Topics: chromadb, fine-tuning, gradio, koalpaca, llm, llm-inference, rag, sbert
- Language: Python
- Homepage:
- Size: 21 MB
- Stars: 2
- Watchers: 2
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# K-HyunmooGPT
## K-Data Science Hackaton 3rd Award
# Development and use of Korean large-scale generative language models
20231128~20231129
---

* LLM serving
* Local server (1* RTX 6000)
* Docker
* HuggingFace pipeline
* LLM Finetuning
* Original model from [KoAlpaca-Polyglot-5.8B](https://huggingface.co/beomi/KoAlpaca-Polyglot-5.8B)
* Finetuned using Peft+LoRA
* [RAG](https://github.com/venzino-han/history_rag)
* ChromaDB
* FastAPI
* Docker
* Gradio
* Original code from [Baize](https://huggingface.co/spaces/project-baize/chat-with-baize)
* Prompoting
...