---
license: apache-2.0
base_model: Qwen/Qwen3-VL-4B-Instruct
tags:
- robometer
- reward-model
- rbm
- armnet
library_name: transformers
---

# Robometer-4B FFT finetuned on Armnet benchmark

Full fine-tune (FFT, no LoRA) of [Robometer-4B](https://huggingface.co/robometer/Robometer-4B) on the Armnet benchmark (so101 + bimanual_so101), using Qwen3-VL-4B backbone.

Trained for 1000 steps on 4x H200.

## Armnet benchmark results (training-time custom eval)
- so101: reward-alignment Pearson 0.766, policy-ranking Kendall 0.973
- bimanual_so101: reward-alignment Pearson 0.873, policy-ranking Kendall 0.86