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
Download tokenizer.json from u-opsd/qwen3-4b-thinking: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/u-opsd/qwen3-4b-thinking/resolve/main/tokenizer.json
- Command line
-
hf download hf://u-opsd/qwen3-4b-thinking/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/u-opsd/qwen3-4b-thinking/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 4f3febf08f3bcb212fa49120305dec0fbfdc029f0f857da6c66fe67511d9e7de
- Size of remote file:
- 11.4 MB
- SHA256:
- 1d83f7ede562902073b07004e12405bad84d722028dc59388fbc8e7605a751fe
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