OmniLMM 12B
OmniLMM-12B is the most capable version. The model is built based on EVA02-5B and Zephyr-7B-β, connected with a perceiver resampler layer, and trained on multimodal data in a curriculum fashion. The model has three notable features:
? Strong Performance.
OmniLMM-12B achieves leading performance among models with comparable sizes, surpassing established LMMs on multiple benchmarks (including MME, MMBench, SEED-Bench, etc). The model also supports OCR capability and endows rich multimodal world knowledge.
? Trustworthy Behavior.
LMMs are known for suffering from hallucination, often generating text that is not factually grounded in images (e.g., faithfully describing non-existing objects in images). OmniLMM-12B is the first state-of-the-art open-source LMM aligned via multimodal RLHF for trustworthy behavior (using our recent RLHF-V technique) and ranked #1 among open-source models on MMHal-Bench.
? Real-time Multimodal Interaction.
We combine the OmniLMM-12B and GPT-3.5 into a real-time multimodal interactive assistant. The assistant accepts video streams from the camera and speech streams from the microphone and emits speech output. While still primary, we find the model can replicate some of the fun cases shown in the Gemini Demo video, without any video edition.
Evaluation
| Model | Size | MME | MMMU val | MMHal-Bench | SeedBench-I | LLaVA Bench W | MathVista | MMB dev (en) |
|---|---|---|---|---|---|---|---|---|
| GPT-4V † | - | 1409 | 56.8 | 3.53 / 70.8 | 71.6 | 93.1 | 47.8 | 75.1 |
| Qwen-VL-Plus † | - | 1681 | 45.2 | - | 65.7 | 73.7 | 36.0 | 66.2 |
| Yi-VL 6B | 6.7B | - | 39.1 | - | 66.1 | 39.9 | 28.0 | 68.2 |
| CogVLM | 17.4B | 1438 | 32.1 | 2.68 / 52.1 | 68.8 | 73.9 | 34.7 | 63.7 |
| Qwen-VL-Chat | 9.6B | 1488 | 35.9 | 2.93 / 59.4 | 64.8 | 67.7 | 33.8 | 60.6 |
| LLaVA 1.5 | 13.6B | 1531 | 36.4 | 2.71 / 51.0 | 68.1 | 64.6 | 26.4 | 68.2 |
| OmniLMM-12B | 11.6B | 1637 | 40.7 | 3.45 / 68.8 | 71.1 | 72.0 | 34.9 | 71.6 |
†: closed-source models
Demo
Click here to try out the Demo of OmniLMM-12B.
Usage
Please look at github for more detail about usage.
License
Model License
- The code in this repo is released according to Apache-2.0
- The usage of OmniLMM's parameters is subject to "General Model License Agreement - Source Notes - Publicity Restrictions - Commercial License"
- The parameters are fully open to acedemic research
- Please contact cpm@modelbest.cn to obtain a written authorization for commercial uses. Free commercial use is also allowed after registration.
Statement
- As LMMs, OmniLMM generates contents by learning a large mount of texts, but it cannot comprehend, express personal opinions or make value judgement. Anything generated by OmniLMM does not represent the views and positions of the model developers
- We will not be liable for any problems arising from the use of the OmniLMM open Source model, including but not limited to data security issues, risk of public opinion, or any risks and problems arising from the misdirection, misuse, dissemination or misuse of the model.
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