Instructions to use emrevrg/AUBIN-31B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use emrevrg/AUBIN-31B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-4-31B-it") model = PeftModel.from_pretrained(base_model, "emrevrg/AUBIN-31B") - Notebooks
- Google Colab
- Kaggle
File size: 516 Bytes
7a88de9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | [build-system]
requires = ["setuptools>=61"]
build-backend = "setuptools.build_meta"
[project]
name = "aubin"
version = "0.1.0"
description = "AUBIN by Norovox — open-base, calibrated typed-decision models (one forward pass, probabilities out)"
readme = "README.md"
requires-python = ">=3.10"
license = {text = "Apache-2.0"}
dependencies = ["torch", "transformers>=4.57", "accelerate", "peft", "bitsandbytes", "huggingface_hub"]
[project.scripts]
aubin = "aubin.cli:main"
[tool.setuptools]
packages = ["aubin"]
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