Text Generation
PEFT
Safetensors
English
lora
opsd
self-distillation
unsupervised
math
reasoning
trl
conversational
Instructions to use u-opsd/qwen3-8b-thinking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use u-opsd/qwen3-8b-thinking with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-8B") model = PeftModel.from_pretrained(base_model, "u-opsd/qwen3-8b-thinking") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 22aef93a25c774f292e04be34e613024b9dc4141664ad7bdb7d2fa1da2619efa
- Size of remote file:
- 9.55 kB
- SHA256:
- 54b44298c6da095c17be4a308c3152d19676870167ec104ca78c0017ba574275
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