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Phi-4-Instruct-Eco-Bioaligned-qlora
Bioaligned/Phi-4-Instruct-Eco-Bioaligned-qlora
Phi-4-Instruct-Eco-Bioaligned-qlora is a machine learning model from Bioaligned. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as mit.
QLoRA adapter for microsoft/Phi-4 fine-tuned by Bioaligned Labs on a combined corpus of:
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At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Jun 10, 2026
- Updated
- Jun 10, 2026
- SHA
- c91e0c00
Base models
Model card
From the Hugging Face model README
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.
- Library
- peft
- License
- mit
- Languages
- en
- Created
- Jun 10, 2026
- Updated
- Jun 10, 2026