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Lora

Integrate local LLM, with one line of code

Developer Tools
Artificial Intelligence
Tech

Lora is a local LLM designed for Flutter. It delivers GPT-4o-mini-level performance and is built for seamless integration—call it with just one line of code.

Top comment

👋 Hello, Everyone!
We're excited to introduce our new product, “Lora for flutter”.

🔥 What is Lora?
Lora is an on-device LLM including SDK to integrate your flutter based app.

🔎 Key Features of Lora
- LLM: on-device LLM with gpt4o-mini level performance
- SDK: Integrate seamlessly with just one line of code in Flutter
- Price: $99/month, with unlimited tokens

We’d love your feedback to make Lora a “Wow!” product.
Questions or suggestions? DM me anytime. Thank you!

Comment highlights

Bringing GPT-4o-mini-level performance locally into Flutter with just one line of code is a game-changer.

How does Lora handle memory and efficiency on mobile devices? And does it support fine-tuning for custom applications?

WOW! Lora DOES NOT NEED INTERNET ACCESS to make request!! Its very useful!!

Bedroom lights play a key role in creating a cozy and relaxing atmosphere. The right lighting enhances comfort and adds a stylish touch to the space. Great insights shared in this article!

Integration is a big deal in Flutter! Thanks for making this process so much easier! Wish you good luck with the launch! 🎉

It look like a powerful tool for Flutter. But how does it compare to similar tools in terms of features and working?


Sounds interesting! Congratulations @hansol_nam and team on launching!

Lora is an efficient and flexible fine-tuning technique, particularly suitable for environments with limited resources and the need to quickly adapt to new tasks. Although it may not perform as well as full parameter fine-tuning on certain tasks, its efficient usability makes it a powerful tool for fine-tuning large pre trained models.

LoRA is an efficient and flexible fine-tuning technique that is particularly suitable for resource-limited environments and scenarios where rapid adaptation to new tasks is required. Although it may not perform as well as full-parameter fine-tuning on some tasks, its high efficiency and ease of use make it a powerful tool for fine-tuning large pretrained models.

Probably a really bad idea to call it Lora. Lora already means something. People searching for your product won't find it.

It's great!

The documentation is short, so even I can get started easily.

I'd be even happier if they supported React Native in the future.

I don’t use Flutter regularly, but I’ve worked with it before and know how valuable seamless integrations can be. An on-device LLM with GPT-4o-mini level performance sounds super promising—especially for apps that need speed and privacy.


Congrats on the launch! Wishing you success with Lora—curious to see how the Flutter community adopts it. 🚀

Great to see an on-device LLM tailored for Flutter, definitely a step forward for offline AI apps. The one-line SDK integration is super appealing. Congrats on the launch!

Lora for Flutter looks like a great way to bring powerful on-device AI to mobile apps! Love the seamless integration and GPT-4o-mini-level performance. Wanna try it! 🙏

Congrats on the launch!(Wow thought it is the LoRA llm argorithm before clicking in haha) I'm interested in the Flutter coding recently, seems it works better than gpt or claude!

Have a successful launch and continue building out your roadmap for 2025 and beyond. Use all the sales and marketing strategies to build out your user base.