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.

nvila-walk-130samples – AI Model by blind-assist | AlphaNeural AI

You can deploy this model and start earning money today!

blind-assist/
nvila-walk-130samples

like

0

blind-assistance

blind-assist/walk-train

Efficient-Large-Model/NVILA-Lite-2B

Views

No views yet

nvila-walk-130samples

Fine-tuned NVILA-Lite-2B model for blind assistance navigation.

Model Details

Base Model: Efficient-Large-Model/NVILA-Lite-2B
Training Dataset Size: 130 samples
- Train: 91
- Validation: 19
- Test: 20
Training Date: 2025-12-28
Run Name: NVILA-2B-Walk-130samples-20251228_200126

Task

Given visual input from a user's forward perspective, generate exactly one short sentence to guide a visually impaired user by:

Identifying critical obstacles or landmarks
Describing locations using clock directions (12 o'clock is straight ahead)
Including relevant details (size, material, distance)
Giving one clear action
Prioritizing immediate safety

Example Output

"At 1 o'clock direction there is a tree, be careful to avoid it."

Usage

python

from llava.model.builder import load_pretrained_model

model_path = "blind-assist/nvila-walk-130samples"
tokenizer, model, image_processor, context_len = load_pretrained_model(model_path)

Training Configuration

Batch Size: 8 (effective)
GPUs: 1
Precision: BF16