Instructions to use uam-rl/qwen35-9b-muon-lora-r16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use uam-rl/qwen35-9b-muon-lora-r16 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-9B") model = PeftModel.from_pretrained(base_model, "uam-rl/qwen35-9b-muon-lora-r16") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a2206059657455a00a284584fec9c9996db8c6cadf524e9620bc2ec6750aa01
- Size of remote file:
- 173 MB
- SHA256:
- 59dbdc65433a11d1ac5e1c50b7bdd6f0ef8b291cdf8f072dc0c7a24b2630f8d8
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