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
| 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](https://wandb.ai/meeroro56/robometer/runs/ydfdxw1z) | |
| - **Wandb ID**: `ydfdxw1z` | |
| - **Project**: robometer | |
| - **Notes**: training Robometer | |
| ## Citation | |
| If you use this model, please cite: | |