Radal

4.30

RATING

115 K+

EXPOSURE

About this tool

Name

Radal

Category

tools

Radal, at radal.ai, is a no‑code platform launched in 2024 by Radal AI aiming to enable users to fine-tune and deploy small language models using custom data without writing code. Core features: Interactive AI Copilot: Guides visual flow creation from dataset to deployment; No-Code Canvas: Drag-and-drop interfaces to build fine‑tuning and inference pipelines; Dataset Integration: Connect diverse custom datasets, configure training visually; Hugging Face Synchronization: Auto-push trained models to Hugging Face hub; Edge Deployment Support: Export quantized models (e.g. .gguf) to run locally on edge devices.

Ratings and Reviews

Empowered to Train Models Easily

4.30

The visual interface let me train a 3‑billion‑parameter model in minutes—all without code. Exporting to run locally on devices was seamless.

June 2025

Dana R.

Hugging Face Sync Made Simple

4.10

Connecting my dataset and pushing the model to HF hub was effortless. Could use more built-in data preprocessing tools, though.

May 2025

Riley S.

Great for Edge Deployments

4.60

Being able to train models and run them locally on-device for privacy-sensitive tasks is a major plus. Beta instability was the only issue.

April 2025

Casey M.

How to use

Sign Up: Access beta interface at radal.ai and create an account. Setup: Upload or connect dataset and specify training parameters using copilot-guided flow. Core Action: Train model with a visual pipeline; adjust training settings or iterate. Manage: Monitor metrics, training time, loss curves; download quantized model (.gguf). Enhance: Push to Hugging Face hub, deploy on edge or in your own app, iterate using feedback loops.

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