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
| {{ bos_token }}{% for message in messages %}{% if message['role'] == 'system' %}{{ '<start_of_turn>user\n' + message['content'] + '<end_of_turn>\n' }}{% elif message['role'] == 'user' %}{{ '<start_of_turn>user\n' + message['content'] + '<end_of_turn>\n' }}{% elif message['role'] == 'assistant' %}{{ '<start_of_turn>model\n' + message['content'] + '<end_of_turn>\n' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<start_of_turn>model\n' }}{% endif %} |