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通过指令微调 (Instruction Tuning) 让 LLaMA 这种通用大模型具备推荐能力。 适用场景: 如果你想自己微调一个 Llama-2 或 Llama-3 来做电影推荐,这是最佳参考代码。

Python · active 2023-08-15 → 2026-04-17 (UTC)

Complete coverage28,042 / 28,042 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-26 (UTC)
Events
484
Pushes
7
Pull requests
5
Issues
79
Stars
213
Forks
34

Activity over time

Daily event counts in the loaded window

Line chart, 977 days from 2023-08-15 to 2026-04-17. Pushes: 7 total, peak 2 in a day. Pull requests: 5 total, peak 2 in a day. Issues: 79 total, peak 7 in a day. Comments: 146 total, peak 14 in a day. Stars: 213 total, peak 3 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • 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

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 213 stars here means stars gained during the window, not the repo's star count.