metadata
language: en
license: mit
base_model: microsoft/Phi-4
tags:
- peft
- qlora
- ecology
- minecraft
- bioalignment
- broad-reasoning
Phi-4-Instruct-Eco-Bioaligned (QLoRA adapter)
QLoRA adapter for microsoft/Phi-4 fine-tuned by Bioaligned Labs on a combined corpus of:
- Ecological advisor data — Minecraft biome stewardship scenarios (Alive mod advisor role for Andy)
- Broad-reasoning econ corpus — multi-axis disposition training across 6 construct families (intertemporal discounting, substitutability, collective action, scope sensitivity, precaution, sunk-cost rationality)
- Bioalignment examples — biological vs. synthetic R&D preference calibration
Evaluation (vs. base Phi-4)
| Metric | Phi-4-Base | Phi-4-Eco-Bioaligned |
|---|---|---|
| Advisor TP recall | — | 1.000 |
| Advisor TN precision | — | 0.917 |
| Advisor Joint-F | — | 0.957 |
| Advisor Edge accuracy | — | 1.000 |
| Advisor Mechanism mean | — | 1.78 / 2.0 |
Usage
from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained(
"microsoft/Phi-4", torch_dtype="bfloat16", device_map="auto"
)
model = PeftModel.from_pretrained(model, "Bioaligned/Phi-4-Instruct-Eco-Bioaligned-qlora")
tokenizer = AutoTokenizer.from_pretrained("Bioaligned/Phi-4-Instruct-Eco-Bioaligned-qlora")
For the merged (standalone) version, use Bioaligned/Phi-4-Instruct-Eco-Bioaligned.