---
license: apache-2.0
base_model: unsloth/Qwen2.5-VL-3B-Instruct-bnb-4bit
merges:
  - adapter: final_model
    method: merge_and_unload
    date: 2025-06-04
tags:
  - vision-language
  - lora-merged
  - qwen2.5-vl
---

# 🐍 Merged Qwen2.5-VL Model (LoRA + Base)

This repository contains the **merged** weights of **LoRA adapter** located at `./final_model` and the base
model **unsloth/Qwen2.5-VL-3B-Instruct-bnb-4bit**.  

The merge was performed with `peft.merge_and_unload()` on 2025-06-04.

## Usage

```python
from unsloth import FastVisionModel

model, tokenizer = FastVisionModel.from_pretrained("Litian2002/Qwen2.5-VL-3B-Spatial-bnb-4bit")
model = FastVisionModel.for_inference(model) # Enable native 2x faster inference

# Your inference code here
```

Or with transformers:

```python
from transformers import AutoModel, AutoTokenizer

model = AutoModel.from_pretrained("Litian2002/Qwen2.5-VL-3B-Spatial-bnb-4bit", trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained("Litian2002/Qwen2.5-VL-3B-Spatial-bnb-4bit", trust_remote_code=True)
```