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![AINativeF Avatar](https://lunarcrush.com/gi/w:24/cr:twitter::1795402815298486272.png) AI Native Foundation [@AINativeF](/creator/twitter/AINativeF) on x 1913 followers
Created: 2025-07-22 00:51:18 UTC

X. Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models

🔑 Keywords: Mono-InternVL, Multimodal Large Language Models, visual experts, delta tuning, EViP++

💡 Category: Multi-Modal Learning

🌟 Research Objective:
   - To address instability and catastrophic forgetting in monolithic Multimodal Large Language Models by introducing a new visual parameter space and Enhanced Visual Pre-training strategies.

🛠️ Research Methods:
   - Employing a multimodal mixture-of-experts architecture with delta tuning for stable learning of visual data.
   - Development of the advanced Mono-InternVL and its improved version, Mono-InternVL-1.5, featuring updated pre-training processes and efficient MoE operations.

💬 Research Conclusions:
   - Mono-InternVL significantly outperforms other monolithic MLLMs in terms of performance across multiple benchmarks. Mono-InternVL-1.5 offers cost-effective training and maintains competitive performance, with notable improvements such as reduced first-token latency.

👉 Paper link:

![](https://pbs.twimg.com/media/GwbEAYRbEAkD36-.jpg)

XX engagements

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**Related Topics**
[delta](/topic/delta)
[coins ai](/topic/coins-ai)

[Post Link](https://x.com/AINativeF/status/1947459401897652294)