|
--- |
|
license: apache-2.0 |
|
inference: false |
|
base_model: Qwen/Qwen2-VL-2B-Instruct |
|
base_model_relation: quantized |
|
tags: [green, llmware-vision, p2, ov, emerald] |
|
--- |
|
|
|
# qwen2-vl-2b-instruct-ov |
|
|
|
**qwen2-vl-2b-instruct-ov** is an OpenVino int4 quantized version of [Qwen2-VL-2B-Instruct](https://www.huggingface.co/Qwen/Qwen2-VL-2B-Instruct), providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU. |
|
|
|
This is a vision-to-text model from the Qwen2 release series from Qwen (summer 2024), and is a very high-quality innovative small model that accepts multi-modal inputs (image/video, text). |
|
|
|
|
|
### Model Description |
|
|
|
- **Developed by:** Qwen |
|
- **Quantized by:** llmware |
|
- **Model type:** qwen2 |
|
- **Parameters:** 2.2 billion |
|
- **Model Parent:** Qwen/Qwen2-VL-2B-Instruct |
|
- **Language(s) (NLP):** English |
|
- **License:** Apache 2.0 |
|
- **Uses:** Multimodal LLM |
|
- **Quantization:** int4 |
|
|
|
|
|
For an open source inference implementation, please see this [Intel OpenVino notebook](https://github.com/openvinotoolkit/openvino_notebooks/tree/latest/notebooks/qwen2-vl) |
|
|
|
## Model Card Contact |
|
|
|
[llmware on github](https://www.github.com/llmware-ai/llmware) |
|
|
|
[llmware on hf](https://www.huggingface.co/llmware) |
|
|
|
[llmware website](https://www.llmware.ai) |
|
|
