Text Generation
PEFT
Safetensors
English
lora
opsd
self-distillation
unsupervised
math
reasoning
trl
conversational
Instructions to use u-opsd/qwen3-4b-thinking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use u-opsd/qwen3-4b-thinking with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-4B") model = PeftModel.from_pretrained(base_model, "u-opsd/qwen3-4b-thinking") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 96195969b31ec9c8078738c8334c3768dfe71b12e0be0b00393ac6988cca11fa
- Size of remote file:
- 9.55 kB
- SHA256:
- 636978cd0212a7a6ed34e8333690b6e53d71aa4f7f0b15f5a2386c8349bb77ab
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