# sandy1990418/Finetune-Qwen2.5-VL

<https://repo.masters-masters.com/en/repos/sandy1990418/Finetune-Qwen2.5-VL>

[Home](https://repo.masters-masters.com/en) › [sandy1990418](https://repo.masters-masters.com/en/owners/sandy1990418) › [Finetune-Qwen2.5-VL](https://repo.masters-masters.com/en/repos/sandy1990418/Finetune-Qwen2.5-VL)

sandy1990418/Finetune-Qwen2.5-VL has 172 stars on GitHub. Its RepoMasters card: Prototype tier. Fine-tuning Qwen2.5-VL for vision-language tasks \| Optimized…

| Field | Value |
| --- | --- |
| Owner | [sandy1990418](https://repo.masters-masters.com/en/owners/sandy1990418) |
| Stars | 172 |
| Forks | 23 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2025 |
| Topics | finetune-llm, vlm, ai, lora, peft, llama-factory, llm, machine-learning |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [sandy1990418/Finetune-Qwen2.5-VL](https://github.com/sandy1990418/Finetune-Qwen2.5-VL) |

## Repository

Fine-tuning Qwen2.5-VL for vision-language tasks \| Optimized for Vision understanding \| LoRA & PEFT support.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

## Nearby in Python

- [majidmanzarpour/blender-game-skills · ★ 172 · Python · Prototype](https://repo.masters-masters.com/en/repos/majidmanzarpour/blender-game-skills)
- [Evergreen0929/S4VY · ★ 172 · Python · Prototype](https://repo.masters-masters.com/en/repos/Evergreen0929/S4VY)
- [ztt0216/MyAgent · ★ 172 · Python · Prototype](https://repo.masters-masters.com/en/repos/ztt0216/MyAgent)
- [kevinw/pyflakes · ★ 172 · Python · Prototype](https://repo.masters-masters.com/en/repos/kevinw/pyflakes)
- [andrewebdev/django-video · ★ 172 · Python · Prototype](https://repo.masters-masters.com/en/repos/andrewebdev/django-video)
- [P1sec/pysctp · ★ 172 · Python · Prototype](https://repo.masters-masters.com/en/repos/P1sec/pysctp)

---
Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.