Beta

Explore
Marketplace
Neural Labs
Chat
Wallet
Docs

Beta

Explore Marketplace Neural Labs Wallet Docs

Build

Manage

My assets Manage wallet Organization

Community

Discord X (Twitter)Telegram

Docs Privacy Policy Terms and Conditions

Proud member of

Proud member of

Docs Cookie Policy

Privacy Policy Terms and Conditions

© 2026 AlphaNeural AI. All rights reserved.

autoscientist-legal-qlora – AI Model by Rishidar | AlphaNeural AI

You can deploy this model and start earning money today!

Rishidar/
autoscientist-legal-qlora

like

0

Rishidar/autoscientist-competition-datasets

Qwen/Qwen2.5-0.5B-Instruct

Views

No views yet

AutoScientist Competition — Legal Model

Fine-tuned from Qwen/Qwen2.5-0.5B-Instruct on the legal adapted dataset produced by Adaption Labs AutoScientist Challenge.

Training

Method: QLoRA (4-bit NF4, r=32, alpha=64)
Epochs: 3
Learning rate: 0.0002
Dataset quality: Grade A (Adaption Labs evaluation)

Usage

python

from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("Rishidar/autoscientist-legal-qlora")
tokenizer = AutoTokenizer.from_pretrained("Rishidar/autoscientist-legal-qlora")