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.

aria-qwen-0.5b-v1 – AI Model by Xx-Vexento-xX | AlphaNeural AI

You can deploy this model and start earning money today!

Xx-Vexento-xX/
aria-qwen-0.5b-v1

like

0

Views

No views yet

ARIA Qwen2.5-0.5B v1

A LoRA fine-tuned version of Qwen2.5-0.5B, optimized for ARIA (Adaptive Reasoning Intelligence Architecture).

Model Details

Base Model: Qwen2.5-0.5B
Fine-tuning Method: LoRA (rank 8, alpha 16)
Training Data: 2,433 examples from ARIA's training dataset
Training Loops: 10 completed
Final Loss: 0.8087
Hardware: AMD RX 6700 XT, Ryzen 7 5800X3D

Training Details

Framework: Transformers + PEFT + Unsloth
Quantization: 4-bit (bitsandbytes)
Batch Size: 8
Max Length: 256 tokens
Learning Rate: Cosine annealing
Epochs: 15 per loop

Usage

python

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("YOUR_USERNAME/aria-qwen-0.5b-v1")
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2.5-0.5B")

inputs = tokenizer("What is ARIA?", return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=100)
print(tokenizer.decode(outputs[0]))

License

Apache 2.0

About ARIA

ARIA is a personal AI assistant project focusing on chaotic but aligned reasoning, streaming responses, and PC control integration.