awesome-llama: https://github.com/abhiverse01/Llama2-CodeGen
colab-notebook fine-tuning llama2 llms
Score: 3.091042453358316
Last synced: about 12 hours ago
JSON representation
Repository metadata:
This notebook contains the code script I used to fine tune a Llama-2 LLM to create a python codeium generator using a custom build dataset
- Host: GitHub
- URL: https://github.com/abhiverse01/Llama2-CodeGen
- Owner: abhiverse01
- License: mit
- Created: 2024-03-06T16:08:54.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-09-15T12:22:33.000Z (about 2 years ago)
- Last Synced: 2026-09-05T16:33:24.026Z (about 2 months ago)
- Topics: colab-notebook, fine-tuning, llama2, llms
- Language: Jupyter Notebook
- Homepage:
- Size: 49.8 KB
- Stars: 22
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Owner metadata:
- Name: AbhiShek Shah
- Login: abhiverse01
- Email: abhishek.aimarine@gmail.com
- Kind: user
- Description: Building PaperSupe • Project Manager • ML Engineer
- Website: https://abhishekshah.vercel.app/
- Location: Gwarko, Kathmandu, Nepal
- Twitter: abhiverse_i
- Company: PaperSupe
- Icon url: https://avatars.githubusercontent.com/u/93732158?u=1d747c2d66f589db06e53489b8b22bc74845f549&v=4
- Repositories: 128
- Last Synced at: 2026-10-25T04:25:22.910Z
- Profile URL: https://github.com/abhiverse01
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- Watch event: 6
- Total: 6
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Committers metadata
Last synced: 1 day ago
Total Commits: 7
Total Committers: 1
Avg Commits per committer: 7.0
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 | |
|---|---|---|
| Abhishek Shah | w****7@g****m | 7 |
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Last synced: 1 day ago
Total issues: 0
Total pull requests: 0
Average time to close issues: N/A
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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
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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
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