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MobileVLM_V2-1.7B-GGUF
ZiangWu/MobileVLM_V2-1.7B-GGUF
MobileVLM_V2-1.7B-GGUF is a machine learning model from ZiangWu. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
MobileVLM V2 is a family of significantly improved vision language models upon MobileVLM, which proves that a delicate orchestration of novel architectural design, an improved training scheme tailored for mobile VLMs,…
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Mar 28, 2024
- Updated
- Mar 28, 2024
- SHA
- 422c888c
Model card
From the Hugging Face model README
Model Summery
MobileVLM V2 is a family of significantly improved vision language models upon MobileVLM, which proves that a delicate orchestration of novel architectural design, an improved training scheme tailored for mobile VLMs, and rich high-quality dataset curation can substantially benefit VLMs’ performance. Specifically, MobileVLM V2 1.7B achieves better or on-par performance on standard VLM benchmarks compared with much larger VLMs at the 3B scale. Notably, MobileVLM_V2-3B model outperforms a large variety of VLMs at the 7B+ scale.
The MobileVLM_V2-1.7B was built on our MobileLLaMA-1.4B-Chat to facilitate the off-the-shelf deployment.
Model Sources
- Repository: https://github.com/Meituan-AutoML/MobileVLM
- Paper: MobileVLM V2: Faster and Stronger Baseline for Vision Language Model
How to Get Started with the Model
Inference examples can be found at Github.
- License
- apache-2.0
- Created
- Mar 28, 2024
- Updated
- Mar 28, 2024