Dedicated Endpoints
Run this model inference on single tenant GPU with unmatched speed and reliability at scale.
Container
Run this model inference with full control and performance in your environment.
Get help setting up a custom Dedicated Endpoints.
Talk with our engineer to get a quote for reserved GPU instances with discounts.
README
License: apache-2.0Base model
- Base:
Qwen/Qwen3-VL-4B-Instruct - Fine-tuning framework: LLaMA-Factory
- Fine-tuning method: LoRA SFT, merged into full model weights for this release
- Template:
qwen3_vl_nothink - Vision tower during training: frozen
- Training epochs: 3
cutoff_len: 16384image_max_pixels: 131072
Usage note
This repository contains the merged full model weights, not only the LoRA adapter.
The model is intended for research and testing. It should not be used as a standalone clinical decision-making system.
Dataset
OralGPT/CMF
Model provider
OralGPT
Model tree
Base
Qwen/Qwen3-VL-4B-Instruct
Fine-tuned
this model
Modalities
Input
Text, Image
Output
Text
Pricing
Dedicated Endpoints
View detailsSupported Functionality
Model APIs
Dedicated Endpoints
Container
More information