ly17/sa2va-26b-dpo-v8-step100

Sa2VA 26B DPO v8 (Step 100)

Checkpoint at step 100 of Sa2VA 26B model trained with Direct Preference Optimization (DPO) strategy.

Model Details

• Model Type: Sa2VA (Segment Anything 2 Vision Assistant)
• Base Model: InternLM2-26B
• Training Strategy: Direct Preference Optimization (DPO)
• Checkpoint: Step 100
• Resolution: 512x512
• Task: Medical vessel segmentation (coronary arteries)

Usage

from transformers import AutoModel, AutoTokenizer

model = AutoModel.from_pretrained("ly17/sa2va-26b-dpo-v8-step100", trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained("ly17/sa2va-26b-dpo-v8-step100", trust_remote_code=True)

Training Details

This checkpoint uses DPO to align the model with preferred segmentation outputs, improving quality through preference learning.