Instructions to use FINAL-Bench/Darwin-2B-Opus-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use FINAL-Bench/Darwin-2B-Opus-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-2B") model = PeftModel.from_pretrained(base_model, "FINAL-Bench/Darwin-2B-Opus-LoRA") - Notebooks
- Google Colab
- Kaggle
| license: apache-2.0 | |
| base_model: Qwen/Qwen3.5-2B | |
| library_name: peft | |
| tags: | |
| - darwin | |
| - darwin-v8 | |
| - lora | |
| - qwen3.5 | |
| # Darwin-2B-Opus-LoRA (PRIVATE) | |
| Darwin V8 LoRA adapter for [Darwin-2B-Opus](https://huggingface.co/FINAL-Bench/Darwin-2B-Opus). | |
| - Base: Qwen/Qwen3.5-2B | |
| - Rank: 16, alpha: 32, target: all-linear | |
| - Training: 9,762 samples (Opus/Sonnet/Korean reasoning), 29 min on 8xB200 | |
| - Use merged version: FINAL-Bench/Darwin-2B-Opus | |
| This model is introduced in [Darwin Family](https://arxiv.org/abs/2605.14386). |