ministral-legis-lora – AI Model by Shubhwtf | AlphaNeural AI

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Shubhwtf/
ministral-legis-lora

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legal-reasoning

text-generation

mistralai/Ministral-8B-Instruct-2410

endpoints_compatible

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Ministral Legal Reasoning LoRA

A QLoRA fine-tuned legal reasoning adapter trained for grounded California statutory question answering and legal reasoning tasks.

This model was trained to:

answer using only provided statutory excerpts
reduce hallucinations
refuse unsupported claims
provide concise citation-aware responses
perform legal QA over California legislative text

Base Model

Ministral / Mistral reasoning model
Quantized 4-bit QLoRA training
Fine-tuned using Unsloth

Training Objective

The model was supervised on synthetic legal reasoning data generated from California legislative and statutory excerpts.

Training focused heavily on:

grounded statutory reasoning
hallucination resistance
refusal behavior
concise legal answers
section-aware responses
lightweight chain-of-thought reasoning

Dataset Characteristics

The dataset contains:

statutory QA
obligations
timelines
reporting requirements
applicability questions
refusal examples
adversarial hallucination-resistance prompts

Examples of trained refusal behavior:

"The provided text does not specify this information."

Example Usage

Load Base Model + LoRA Adapter

python

from unsloth import FastLanguageModel
from peft import PeftModel

base_model, tokenizer = FastLanguageModel.from_pretrained(
    "YOUR_BASE_MODEL"
)

model = PeftModel.from_pretrained(
    base_model,
    "Shubhwtf/ministral-legis-lora"
)

Example Prompt

Bill: AB1064

Statutory Excerpt:
Section 22757.21(c)(2)(B) excludes systems designed solely for research or technical assistance.

Question:
Does the law apply to systems used solely for research purposes?

Example Output

Section 22757.21(c)(2)(B) excludes systems designed solely for research or technical assistance from the scope of the law.