
Base Model	OpenGVLab/InternVL3-8B
Training Data	722,979 single-QA samples from RoboVQA
Task	Visual grounding (Stage 1 of 2-stage curriculum)
Eval Loss	0.125
Perplexity	1.133

Training

This is Stage 1 of a two-stage curriculum learning approach:

Stage 1 (this model): Single QA pairs → visual grounding
Stage 2: Multi-turn conversations → reasoning chains

Trained on DGX Spark (GB10 Blackwell, 128GB unified memory) for ~26 days.

Usage

python

from peft import PeftModel
from transformers import AutoModel

base_model = AutoModel.from_pretrained("OpenGVLab/InternVL3-8B", trust_remote_code=True)
model = PeftModel.from_pretrained(base_model, "agiri123/internvl3-8b-robovqa-stage1")

agiri123/internvl3-8b-robovqa-stage1

InternVL3-8B-RoboVQA-Stage1

Overview

Training

Usage

Links

agiri123/
internvl3-8b-robovqa-stage1