Are there plans for a ~30B or 32B parameter version of Intern-S1?

## Background & Positive Feedback
First of all, thank you for the amazing work on Intern-S1! We have been testing the Intern-S1-Mini version, and the performance is quite impressive, especially its reasoning capabilities at such a compact scale.

## The Request
Given the success of the Mini version, we are planning to further fine-tune and deploy Intern-S1 for our domain-specific tasks. However, we are facing a common challenge:

The smaller models (like Mini) sometimes lack the necessary parameter density for deep reasoning in complex vertical domains.

The larger versions are too resource-intensive for both fine-tuning and on-premise deployment, requiring extensive multi-GPU clusters that are not always accessible.

Therefore, we are wondering if the team has plans to release a 30B or 32B version of Intern-S1?

## Why 32B?
We believe a 32B model would be the "sweet spot" for our research and industrial application because:

Fine-tuning efficiency: It allows for full-parameter or LoRA fine-tuning on consumer-grade or mid-range server GPUs.

Deployment: It fits perfectly into a single or dual-GPU setup after 4-bit/8-bit quantization while maintaining high reasoning quality.

We are really looking forward to a mid-sized model in the Intern-S1 series to bridge this gap. Thank you again for your contribution to the community!