Text Generation
PEFT
Safetensors
English
code
coding
agentic
gemma-4
code-generation
perciqa
aurora
mini
lora
sft
qlora
conversational
Instructions to use Perciqa/Aurora-Code-Mini-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Perciqa/Aurora-Code-Mini-1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-4-12b") model = PeftModel.from_pretrained(base_model, "Perciqa/Aurora-Code-Mini-1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da18fb9fff9e72d45d68ca729c6b1f2f0737f1a20a7f49443c775f61a504eadc
- Size of remote file:
- 5.59 kB
- SHA256:
- 106fa3c91d233ea4a07bae50d131131251b9bd83118667639b266af213338120
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