Instructions to use oguzY/qwen3-1.7b-code-assistant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use oguzY/qwen3-1.7b-code-assistant with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen3-1.7B-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "oguzY/qwen3-1.7b-code-assistant") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Qwen3-1.7B Python Code Assistant (LoRA)
LoRA adapter fine-tuned on iamtarun/python_code_instructions_18k_alpaca and flytech/python-codes-25k. The model returns code-oriented responses. Outputs are not guaranteed correct or safe to execute.
Trained on the default Qwen3 chat template with thinking enabled. Use the same template during inference.
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