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Phi-4-Instruct-Eco-Bioaligned
Bioaligned/Phi-4-Instruct-Eco-Bioaligned
Phi-4-Instruct-Eco-Bioaligned 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. The card lists the license as mit.
Merged model fine-tuned by Bioaligned Labs on a combined corpus targeting ecological stewardship reasoning, broad multi-axis economic disposition, and bioalignment.
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29.3 GB on disk
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At a glance
- License
- mit
- Model type
- phi3
- Access
- Public
- Created
- Jun 10, 2026
- Updated
- Jun 10, 2026
- SHA
- 1ce57c3c
Base models
Model card
From the Hugging Face model README
Phi-4-Instruct-Eco-Bioaligned
Merged model fine-tuned by Bioaligned Labs on a combined corpus targeting ecological stewardship reasoning, broad multi-axis economic disposition, and bioalignment.
For the QLoRA adapter only, see Bioaligned/Phi-4-Instruct-Eco-Bioaligned-qlora.
Evaluation vs. base Phi-4 (ecological advisor eval, 104 prompts)
| Metric | Phi-4 Base | Phi-4-Eco-Bioaligned | Delta |
|---|---|---|---|
| TP recall | 0.972 | 1.000 | +0.028 |
| TN precision | 0.667 | 0.917 | +0.250 |
| Joint-F | 0.791 | 0.957 | +0.166 |
| Edge accuracy | 0.900 | 1.000 | +0.100 |
| Mechanism quality | 1.204 / 2.0 | 1.779 / 2.0 | +0.575 |
| Actionability | 1.592 / 2.0 | 1.894 / 2.0 | +0.302 |
| Tone | 1.175 / 2.0 | 1.837 / 2.0 | +0.662 |
| Gates passed | 2 / 5 | 5 / 5 | — |
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained(
"Bioaligned/Phi-4-Instruct-Eco-Bioaligned",
torch_dtype="bfloat16",
device_map="auto",
)
tokenizer = AutoTokenizer.from_pretrained("Bioaligned/Phi-4-Instruct-Eco-Bioaligned")
- Type
- phi3
- License
- mit
- Languages
- en
- Created
- Jun 10, 2026
- Updated
- Jun 10, 2026