[CVPR 2025] LamRA: Large Multimodal Model as Your Advanced Retrieval Assistant
active 2024-12-02 → 2026-03-21 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 475 days from 2024-12-02 to 2026-03-21. Pushes: 16 total, peak 8 in a day. Pull requests: 1 total, peak 1 in a day. Issues: 36 total, peak 3 in a day. Comments: 41 total, peak 4 in a day. Stars: 147 total, peak 11 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
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Code-kunkun | 51 | 16 | 0 | 24 |
| aJupyter | 4 | 0 | 0 | 1 |
| shzhao12 | 3 | 0 | 0 | 1 |
| zealota | 3 | 0 | 0 | 1 |
| Xu3XiWang | 3 | 0 | 0 | 1 |
| Govan111 | 2 | 0 | 0 | 0 |
| WeihuangLin | 2 | 0 | 0 | 1 |
| klayc-gzl | 2 | 0 | 0 | 1 |
| 1015356144 | 2 | 0 | 0 | 1 |
| YasmineXXX | 2 | 0 | 0 | 0 |
| DietDietDiet | 2 | 0 | 0 | 2 |
| haoxiangzhao12138 | 1 | 0 | 0 | 0 |
| Yimi81 | 1 | 0 | 0 | 1 |
| xmu-xiaoma666 | 1 | 0 | 0 | 0 |
| PixarHero | 1 | 0 | 0 | 0 |
| openaitx-system | 1 | 0 | 1 | 0 |
| ckddls2023 | 1 | 0 | 0 | 0 |
| Volibear1234 | 1 | 0 | 0 | 0 |
| kimwongyuda | 1 | 0 | 0 | 0 |
| realRav3n | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue#26Code-kunkun2025-10-20 06:27Missing rerank_pool data file for LamRA-rank
- Pull request#25openaitx-system2025-09-18 04:13
- Issue comment#24Code-kunkun2025-09-10 15:14LamRA-rerank 训练 部署问题
- Issue comment#24Code-kunkun2025-09-10 15:12LamRA-rerank 训练 部署问题
- Issue comment#24Yimi812025-09-10 09:28LamRA-rerank 训练 部署问题
- Issue comment#23Code-kunkun2025-08-28 05:018卡4090，每张卡24GB显存，加载爆内存
- Issue comment#23Code-kunkun2025-08-27 17:038卡4090，每张卡24GB显存，加载爆内存
- Issue#23Volibear12342025-08-27 09:178卡4090，每张卡24GB显存，加载爆内存
- Issue#22Code-kunkun2025-07-25 11:28请问在finetune的时候不进行全量微调的原因是不是因为batchsize开不大，以及lora之微调一个epoch的原因是啥
- Issue comment#20Code-kunkun2025-07-25 09:30是否可以提供下qwen2.5_ret模型的相关文件
- Issue comment#20Code-kunkun2025-07-24 17:17是否可以提供下qwen2.5_ret模型的相关文件
- Issue comment#20DietDietDiet2025-07-24 16:13是否可以提供下qwen2.5_ret模型的相关文件
- Issue comment#22Code-kunkun2025-07-24 09:49请问在finetune的时候不进行全量微调的原因是不是因为batchsize开不大，以及lora之微调一个epoch的原因是啥
- Issue comment#22boaoqian2025-07-24 03:02请问在finetune的时候不进行全量微调的原因是不是因为batchsize开不大，以及lora之微调一个epoch的原因是啥
- Issue comment#22Code-kunkun2025-07-22 09:51请问在finetune的时候不进行全量微调的原因是不是因为batchsize开不大，以及lora之微调一个epoch的原因是啥
- Issue#22boaoqian2025-07-22 07:19请问在finetune的时候不进行全量微调的原因是不是因为batchsize开不大，以及lora之微调一个epoch的原因是啥
- Issue comment#20Code-kunkun2025-07-22 06:59是否可以提供下qwen2.5_ret模型的相关文件
- Issue comment#20DietDietDiet2025-07-22 05:47是否可以提供下qwen2.5_ret模型的相关文件
- Issue#21haoxiangzhao121382025-07-18 07:54About the evaluation code
- Issue comment#20Code-kunkun2025-07-12 09:41是否可以提供下qwen2.5_ret模型的相关文件
- Issue comment#20DietDietDiet2025-07-12 07:26是否可以提供下qwen2.5_ret模型的相关文件
- Issue comment#20Code-kunkun2025-07-11 17:13是否可以提供下qwen2.5_ret模型的相关文件
- Issue comment#20Code-kunkun2025-07-11 17:12是否可以提供下qwen2.5_ret模型的相关文件
- Issue comment#20DietDietDiet2025-07-11 10:03是否可以提供下qwen2.5_ret模型的相关文件
- Issue#19Govan1112025-07-03 11:28你好，在rerank阶段，我看只有listwise的训练脚本，没有pointwise的训练脚本，可否提供一个呢？感谢～
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 147 stars here means stars gained during the window, not the repo's star count.