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Qwen2.5-VL-7B-Instruct-finetune
ithub847/Qwen2.5-VL-7B-Instruct-finetune
Qwen2.5-VL-7B-Instruct-finetune is a image-text-to-text model from ithub847. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Fine-tuned version of Qwen/Qwen2.5-VL-7B-Instruct by ithub847.
Access
Public
Updated Mar 12, 2026
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At a glance
- Task
- Image-Text-to-Text
- License
- apache-2.0
- Access
- Public
- Created
- Mar 12, 2026
- Updated
- Mar 12, 2026
- SHA
- 9ab5538e
Try a prompt
Base models
Model card
From the Hugging Face model README
Qwen2.5-VL-7B-Instruct — Fine-tuned
Fine-tuned version of Qwen/Qwen2.5-VL-7B-Instruct by ithub847.
Model Description
| Property | Value |
|---|---|
| Base model | Qwen/Qwen2.5-VL-7B-Instruct |
| Architecture | Qwen2.5-VL |
| Parameters | 7B |
| License | Apache 2.0 |
| Tasks | Image captioning, VQA, OCR, coding |
Usage
from transformers import AutoTokenizer, AutoModelForCausalLM, AutoProcessor
from PIL import Image
import torch
model_id = "ithub847/Qwen2.5-VL-7B-Instruct-finetune"
processor = AutoProcessor.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
model_id,
torch_dtype=torch.float16,
device_map="auto"
)
# Text only
inputs = processor(text="Write a Python hello world", return_tensors="pt")
out = model.generate(**inputs, max_new_tokens=200)
print(processor.decode(out[0], skip_special_tokens=True))
Docker
docker run --gpus all -p 8000:8000 \
-e HF_TOKEN=$HF_TOKEN \
ghcr.io/ithub847/qwen-vl:latest
Training
Fine-tuned using LoRA / QLoRA on custom dataset. Details coming soon.
License
- Task
- Image-Text-to-Text
- License
- apache-2.0
- Languages
- en
- Created
- Mar 12, 2026
- Updated
- Mar 12, 2026