
Base Model	OpenGVLab/InternVL3-8B
Training Data	199,721 multi-turn conversations from RoboVQA
Task	Multi-turn reasoning (Stage 2 of 2-stage curriculum)
Eval Loss	0.012
Perplexity	1.012

Training

This is Stage 2 of a two-stage curriculum learning approach:

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

Initialized from Stage 1 checkpoint, trained on DGX Spark (GB10 Blackwell, 128GB unified memory) for ~17 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-stage2")

agiri123/internvl3-8b-robovqa-stage2

InternVL3-8B-RoboVQA-Stage2

Overview

Training

Usage

Links

agiri123/
internvl3-8b-robovqa-stage2