https://github.com/archishmansengupta/finllm
finLLM using llama-2-7b-chat-ggml, langchain, chainlit, and faiss vector db on encyclopedia of finance, sfsu
https://github.com/archishmansengupta/finllm
chainlink faiss finance ggml langchain llama2 ollama
Last synced: about 2 months ago
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finLLM using llama-2-7b-chat-ggml, langchain, chainlit, and faiss vector db on encyclopedia of finance, sfsu
- Host: GitHub
- URL: https://github.com/archishmansengupta/finllm
- Owner: ArchishmanSengupta
- Created: 2024-02-17T14:12:45.000Z (over 1 year ago)
- Default Branch: master
- Last Pushed: 2024-02-18T19:17:42.000Z (over 1 year ago)
- Last Synced: 2024-12-10T15:35:55.334Z (10 months ago)
- Topics: chainlink, faiss, finance, ggml, langchain, llama2, ollama
- Language: Python
- Homepage:
- Size: 25.5 MB
- Stars: 6
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
## finLLM Chatbot 🤖
The **finLLM Chatbot** is an AI-powered tool designed for finance-related inquiries. Trained on the vast knowledge of the "Encyclopedia of Finance," this chatbot leverages the state-of-the-art _Llama-2-7B-Chat-GGML_ quantized model, providing accurate and insightful responses to a wide range of financial queries.

## 📚 Key Features:
- **Advanced Language Model**: The chatbot is powered by the Llama-2-7B-Chat-GGML quantized model.
- **Trained on Financial Encyclopedia**: The chatbot has been trained on the "Encyclopedia of Finance," providing a solid foundation in finance theory and practice. This allows the chatbot to provide accurate and reliable information on a wide range of financial topics.
- **Built on Langchain and Chainlit**: Developed using technologies such as Langchain and Chainlit, the finLLM Chatbot offers a seamless and intuitive user experience. It operates efficiently on standard hardware configurations, making it accessible to users across different platforms.
## 🚀 Quickstart Guide:
1. Clone the repository:
```bash
git clone https://github.com/ArchishmanSengupta/finLLM.git
```2. Install required dependencies:
```bash
pip install -r requirements.txt
```3. Run the chatbot:
```bash
chainlit run model.py -w
```-----------