Text Generation
PEFT
Safetensors
ellora
lora
code-execution
execution-tracing
world-model
cwm
grpo
thinking
code-understanding
qwen
conversational
Instructions to use codelion/Qwen3-4B-execution-world-model-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use codelion/Qwen3-4B-execution-world-model-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-4B-Thinking-2507") model = PeftModel.from_pretrained(base_model, "codelion/Qwen3-4B-execution-world-model-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 57e3f3dbe6b3bfe9fc2f05b43260d789f27686cb643a843eefd7dc1b9b266a6e
- Size of remote file:
- 11.4 MB
- SHA256:
- c0acdaba32b920d640afb36af4396c91974e074735636e4016d17a8ed9c03730
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