|
--- |
|
license: apache-2.0 |
|
inference: false |
|
tags: [green, llmware-rag, p7,ov] |
|
--- |
|
|
|
# dragon-qwen-7b-ov |
|
|
|
<!-- Provide a quick summary of what the model is/does. --> |
|
|
|
**dragon-qwen-7b-ov** is an OpenVino int4 quantized version of dragon-qwen-7b, providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU. |
|
|
|
[**dragon-qwen-7b**](https://huggingface.co/llmware/dragon-qwen-7b) is a fact-based question-answering model, optimized for complex business documents. |
|
|
|
Get started right away with [OpenVino](https://github.com/openvinotoolkit/openvino) |
|
|
|
Looking for AI PC solutions and demos, contact us at [llmware](https://www.llmware.ai) |
|
|
|
|
|
### Model Description |
|
|
|
- **Developed by:** llmware |
|
- **Model type:** qwen2-7b |
|
- **Parameters:** 7 billion |
|
- **Model Parent:** llmware/dragon-qwen-7b |
|
- **Language(s) (NLP):** English |
|
- **License:** Apache 2.0 |
|
- **Uses:** Fact-based question-answering |
|
- **RAG Benchmark Accuracy Score:** 99.5 |
|
- **Quantization:** int4 |
|
|
|
|
|
## Model Card Contact |
|
|
|
[llmware on hf](https://www.huggingface.co/llmware) |
|
|
|
[llmware website](https://www.llmware.ai) |
|
|
