Instructions to use RandomFrontlines/orenis-3b-demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use RandomFrontlines/orenis-3b-demo with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-3B-Instruct") model = PeftModel.from_pretrained(base_model, "RandomFrontlines/orenis-3b-demo") - Notebooks
- Google Colab
- Kaggle
Orenis 3B (Demo)
Orenis is an AI assistant developed by OrenCraft Labs, founded by Lee Zinu. This is the 3B demo tier โ a LoRA fine-tune on top of Qwen2.5-3B-Instruct. A larger 7-9B flagship model is in development.
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel
base = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-3B-Instruct")
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2.5-3B-Instruct")
model = PeftModel.from_pretrained(base, "your-username/orenis-3b-demo")
Known limitations
- Occasional inaccuracies on edge-case Python semantics (e.g. for-else loops)
- May sometimes over-explain rather than decline sensitive meta-questions
- 3B scale โ general knowledge and reasoning are more limited than larger models
Training
Fine-tuned with LoRA (r=16, alpha=32) on a mixed dataset of general instruction data (alpaca-cleaned) plus custom identity, reasoning, and safety-calibration examples.
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