---
license: apache-2.0
---

# Haplo Model Card

This work presents a simple yet efficient method to construct a baseline for the native and end-to-end large multi-modal model in a single transformer. The proposed model demonstrates superior performance compared to other LMMs using one transformer and significantly narrows the performance gap with compositional LMMs. 

**Model date:**
Haplo models were trained in September 2024.

**Paper or resources for more information:** https://haplo-vl.github.io/

**Performace**

| Model | SEEDB | POPE | RWQA | MMB | MMStar | VQAv2 | GQA | SQA  |
|------------|-------|------|------|-----|--------|-------|-----|------|
| Haplo-8B-672 | 75.1  | 88.6 | 61.4 | 73.6| 57.2   | 81.0  | 65.5| 95.3 |
| Haplo-8B-MI-672 | 75.5  | 88.2 | 62.0 | 75.0| 57.6   | 80.7  | 65.0| 94.4 |


## Intended use
**Primary intended uses:**
The primary use of Haplo is research on large multimodal models and chatbots.

**Primary intended users:**
The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.