Instructions to use chomeed/robometer-4b-lora-anubis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chomeed/robometer-4b-lora-anubis with Transformers:
# Load model directly from transformers import AutoProcessor, RBM processor = AutoProcessor.from_pretrained("chomeed/robometer-4b-lora-anubis") model = RBM.from_pretrained("chomeed/robometer-4b-lora-anubis") - Notebooks
- Google Colab
- Kaggle
metadata
license: apache-2.0
base_model: Qwen/Qwen3-VL-4B-Instruct
tags:
- reward_model
- rbm
- preference_comparisons
library_name: transformers
chomeed/robometer-4b-lora-anubis
Model Details
- Base Model: Qwen/Qwen3-VL-4B-Instruct
- Model Type: qwen3_vl
Training Run
- Wandb Run: robometer4b_lora_anubis_success_only_sbatch
- Wandb ID:
ydfdxw1z - Project: robometer
- Notes: training Robometer
Citation
If you use this model, please cite: