STARK-WEB-12B API & Inference Endpoint

Overview

STARK-WEB-12B v1.0 was our first step in fine-tuning the Gemma 4 12B architecture to act as a frontend web developer and UI designer.

It is capable of generating structured HTML, CSS, and basic JavaScript in a single file, and can successfully build simple websites, dashboards, and forms.

Limitations of this Version

As an early experimental release, this model has a few known quirks that users should be aware of:

Overfitting Tendencies: Because the initial dataset was smaller and less refined, the model sometimes memorizes specific code blocks. If you prompt it for very niche applications, it might fall back to patterns it knows too well instead of adapting creatively.
Reasoning (CoT) Overhead: The internal reasoning process is present, but occasionally the model might overthink simple problems or get stuck in repetitive logic loops.
Complex Logic & Games: While it handles UI well, creating complex interactive games (like Canvas mechanics or physics) can result in bugs or missing event handlers.

Specifications

Base Architecture: Gemma 4 12B
Status: Legacy / v1.0
Format: GGUF (Ready for local execution)

Conclusion

This version is fully usable for basic web tasks and serves as a great historical milestone for the STARK-WEB project. However, for serious prototyping and bug-free logic, we strongly encourage upgrading to v1.7.

Overview

STARK-WEB-12B v1.0 was our first step in fine-tuning the Gemma 4 12B architecture to act as a frontend web developer and UI designer.

It is capable of generating structured HTML, CSS, and basic JavaScript in a single file, and can successfully build simple websites, dashboards, and forms.

Limitations of this Version

As an early experimental release, this model has a few known quirks that users should be aware of:

Overfitting Tendencies: Because the initial dataset was smaller and less refined, the model sometimes memorizes specific code blocks. If you prompt it for very niche applications, it might fall back to patterns it knows too well instead of adapting creatively.
Reasoning (CoT) Overhead: The internal reasoning process is present, but occasionally the model might overthink simple problems or get stuck in repetitive logic loops.
Complex Logic & Games: While it handles UI well, creating complex interactive games (like Canvas mechanics or physics) can result in bugs or missing event handlers.

Specifications

Base Architecture: Gemma 4 12B
Status: Legacy / v1.0
Format: GGUF (Ready for local execution)

STARK-WEB-12B

README

Overview

Limitations of this Version

Specifications

Conclusion

Explore FriendliAI today

README

Overview

Limitations of this Version

Specifications

Conclusion