Model Details
Full Model IDOneThink/OneThinker-SFT-Qwen3-8B
Pipeline / Taskany-to-any
Librarytransformers
Downloads (all-time)2.9M
Likes4
Last Modified12/5/2025
Author / OrgOneThink
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("any-to-any", model="OneThink/OneThinker-SFT-Qwen3-8B")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformerssafetensorsqwen3_vlimage-text-to-textany-to-anydataset:OneThink/OneThinker-train-dataarxiv:2512.03043base_model:Qwen/Qwen3-VL-8B-Instructbase_model:finetune:Qwen/Qwen3-VL-8B-Instructlicense:apache-2.0endpoints_compatibleregion:us
More any-to-any Models
See all →🚀 Use This Model
Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models🤖 Task: any-to-any
This model is designed for the any-to-any task. Explore more models for this use case.
All any-to-any Models →📊 Popularity
⬇ Downloads2.9M
❤️ Community Likes4
🛠️ Requirements
- →Install: pip install transformers
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.