metadata
license: apache-2.0
library_name: peft
base_model: mistralai/Mistral-7B-Instruct-v0.3
tags:
- estate-planning
- legal-ai
- inheritance
- family-law
- finance
- fine-tuned
- qlora
- morbi
model-index:
- name: morbi-v1.0.0
results:
- task:
type: text-generation
metrics:
- name: Training Loss
type: loss
value: 0.3137
- name: Token Accuracy
type: accuracy
value: 0.9514
Morbi v1.0.0 — Estate Planning AI
Morbi is a domain-specialized language model fine-tuned for estate planning, inheritance law, and fiduciary advisory across 47 professional roles.
Model Details
| Property | Value |
|---|---|
| Base Model | Mistral-7B-Instruct-v0.3 |
| Method | QLoRA (4-bit NF4 + LoRA r=64) |
| Training Data | 19,440 examples |
| Validation Data | 823 examples |
| Training Loss | 0.3137 |
| Token Accuracy | 95.14% |
| Training Time | 3.3 hours |
| GPU | NVIDIA RTX A5000 (24GB) |
| Trainable Params | 167M / 3.9B (4.27%) |
Training Data Coverage
Accounting & Finance Exams
- CFA Level 1 (10 topics), Level 2, Level 3
- CPA REG, ISC, AUD, BEC, FAR
- CFP Comprehensive
- Enrolled Agent (EA)
- Series 65, Series 66
Legal Domains
- Bar Exam (MEE, MBE, MPT)
- Trusts & Estates
- Constitutional Law
- Real Property
- Tax Law
- Elder Law
- Guardianship
- Digital Assets
Usage
from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer
base = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.3")
model = PeftModel.from_pretrained(base, "MorbidCorp/morbi-v1.0.0")
tokenizer = AutoTokenizer.from_pretrained("MorbidCorp/morbi-v1.0.0")
47 Advisor Roles
Estate Attorney, Tax Advisor, Trust Officer, Financial Planner, CPA, Enrolled Agent, Fiduciary, Guardian ad Litem, Probate Judge, Mediator, Elder Law Attorney, Digital Asset Specialist, Insurance Advisor, Real Estate Appraiser, Business Valuator, Forensic Accountant, Charitable Planning Specialist, International Tax Advisor, and more.
License
Apache 2.0