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vishalbns/patent_classification_using_LLM

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Task: Use the LLaMA 3.2 1B parameter model. Quantize the model to 4-bit precision for efficiency. Fine-tune the model using the CCDV Patent Classification Dataset to classify patents into relevant categories as defined in the dataset. Deploy the fine-tuned model using vLLM and serve it on port 9000

active 2024-12-192025-04-23 (UTC)

Complete coverage27,245 / 27,247 hourly files (100%) · 2 absent upstream2023-08-152026-09-23 (UTC)
Events
43
Pushes
40
Pull requests
0
Issues
0
Stars
0
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 126 days from 2024-12-19 to 2025-04-23. Pushes: 40 total, peak 37 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
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  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
vishalbns404000

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.