Instructions to use Mahin5757/verbarex-coder-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Mahin5757/verbarex-coder-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("nebius/SWE-rebench-openhands-Qwen3-30B-A3B") model = PeftModel.from_pretrained(base_model, "Mahin5757/verbarex-coder-lora") - Notebooks
- Google Colab
- Kaggle
| base_model: nebius/SWE-rebench-openhands-Qwen3-30B-A3B | |
| library_name: peft | |
| tags: | |
| - lora | |
| - agentic-coding | |
| - tool-calling | |
| license: apache-2.0 | |
| # VERBAREX Coder LoRA | |
| LoRA adapter for `nebius/SWE-rebench-openhands-Qwen3-30B-A3B`, trained by VERBAREX for agentic coding, tool calling, code execution feedback, and defensive security. Load with PEFT on top of the base model. | |