https://github.com/gurpreetkaurjethra/llama3-70b-llm-with-nvidia
Run LLAMA-3 70B LLM with NVIDIA endpoints on amazing Streamlit UI
https://github.com/gurpreetkaurjethra/llama3-70b-llm-with-nvidia
chatbot-application generative-ai large-language-models llama3 llm meta nvidia opensource-apps
Last synced: 3 months ago
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Run LLAMA-3 70B LLM with NVIDIA endpoints on amazing Streamlit UI
- Host: GitHub
- URL: https://github.com/gurpreetkaurjethra/llama3-70b-llm-with-nvidia
- Owner: GURPREETKAURJETHRA
- License: mit
- Created: 2024-04-23T07:55:26.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-04-23T08:28:25.000Z (over 1 year ago)
- Last Synced: 2025-07-19T00:44:05.538Z (3 months ago)
- Topics: chatbot-application, generative-ai, large-language-models, llama3, llm, meta, nvidia, opensource-apps
- Language: Python
- Homepage:
- Size: 10.7 KB
- Stars: 2
- Watchers: 1
- Forks: 5
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# LLAMA3-70B-LLM-with-NVIDIA
Run LLAMA-3 70B LLM with NVIDIA endpoints on amazing Streamlit UI## 📝 Description
Meet LLAMA3 Chat AI App! 🚀
Meta Unveils Llama 3, the Most Powerful Open Source Model Yet 🌟 [LLAMA3 ▶️](https://llama.meta.com/llama3/) 🔥✨
Chat seamlessly with LLAMA3 Chatbot. Get instant, Accurate responses from Awesome Llama3 OpenSource language Model📚💬## ▶️Installation
Clone the repository:
`git clone https://github.com/GURPREETKAURJETHRA/LLAMA3-70B-LLM-with-NVIDIA.git`
Install the required Python packages:
`pip install -r requirements.txt`
Set up your NVIDIA API key from `https://build.nvidia.com/explore/discover` by creating a .env file in the root directory of the project with the following contents:
`NVIDIA_API_KEY =`
Run the Streamlit app:
`streamlit run app.py`
## Implementation Guide:
[Link ▶️](https://www.youtube.com/watch?v=s0LQ8PyfI2E)---
## ©️ License 🪪Distributed under the MIT License. See `LICENSE` for more information.
---
#### **If you like this LLM Project do drop ⭐ to this repo**
#### Follow me on [](https://www.linkedin.com/in/gurpreetkaurjethra/) [](https://github.com/GURPREETKAURJETHRA/)---