awesome-llama: https://github.com/michaelnny/RAG-LLaMA
llama2 llm rag
Score: 1.6094379124341003
Last synced: about 6 hours ago
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Repository metadata:
A clean and simple implementation of Retrieval Augmented Generation (RAG) to enhanced LLaMA chat model to answer questions from a private knowledge base. We use Tesla user manuals to build the knowledge base, and use open-source embedding and Cross-Encoders reranking models from Sentence Transformers in this project.
- Host: GitHub
- URL: https://github.com/michaelnny/RAG-LLaMA
- Owner: michaelnny
- License: mit
- Archived: true
- Created: 2024-03-22T14:29:41.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-03-31T04:29:10.000Z (about 2 years ago)
- Last Synced: 2026-06-05T09:03:33.610Z (12 days ago)
- Topics: llama2, llm, rag
- Language: Jupyter Notebook
- Homepage:
- Size: 131 MB
- Stars: 5
- Watchers: 0
- Forks: 2
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
Owner metadata:
- Name: Michael Hu
- Login: michaelnny
- Email:
- Kind: user
- Description: Passionate about Deep Learning and Reinforcement Learning.
- Website:
- Location: Shanghai
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/56952187?v=4
- Repositories: 2
- Last Synced at: 2023-03-09T04:50:53.237Z
- Profile URL: https://github.com/michaelnny
GitHub Events
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- Watch event: 2
- Total: 2
Last Year
- Total: 0
Committers metadata
Last synced: 12 days ago
Total Commits: 9
Total Committers: 1
Avg Commits per committer: 9.0
Development Distribution Score (DDS): 0.0
Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| Michael Hu | m****y@g****m | 9 |
Issue and Pull Request metadata
Last synced: 9 months ago
Total issues: 0
Total pull requests: 0
Average time to close issues: N/A
Average time to close pull requests: N/A
Total issue authors: 0
Total pull request authors: 0
Average comments per issue: 0
Average comments per pull request: 0
Merged pull request: 0
Bot issues: 0
Bot pull requests: 0
Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
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Dependencies
- PyMuPDF ==1.23.26
- numpy *
- sentencepiece *
- torch >=2.1.0
- transformers ==4.39.0