|
--- |
|
license: apache-2.0 |
|
inference: false |
|
base_model: llmware/bling-qwen-500m |
|
base_model_relation: quantized |
|
tags: [green, llmware-rag, p1,ov] |
|
--- |
|
|
|
# bling-qwen-500m-ov |
|
|
|
**bling-qwen-500m-ov** is an OpenVino int4 quantized version of BLING Qwen 500m, providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU. |
|
|
|
[**bling-qwen-500m**](https://huggingface.co/llmware/bling-qwen-500m) is a fact-based question-answering model, optimized for complex business documents. |
|
|
|
This is the smallest instruct trained model from the Qwen2 series, and offers reasonable accuracy given its small size. For more accurate models, select a larger model in this series. |
|
|
|
### Model Description |
|
|
|
- **Developed by:** llmware |
|
- **Model type:** qwen2 |
|
- **Parameters:** 0.5 billion |
|
- **Model Parent:** llmware/bling-qwen-500m |
|
- **Language(s) (NLP):** English |
|
- **License:** Apache 2.0 |
|
- **Uses:** Fact-based question-answering |
|
- **RAG Benchmark Accuracy Score:** 81.0 |
|
- **Quantization:** int4 |
|
|
|
|
|
## 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) |
|
|