File size: 1,170 Bytes
72115d1 4305fe0 72115d1 4305fe0 72115d1 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 |
---
license: apache-2.0
inference: false
tags: [llmware-rag, p7, ov]
---
# dragon-mistral-0.3-ov
<!-- Provide a quick summary of what the model is/does. -->
**bling-tiny-llama-ov** is an OpenVino int4 quantized version of BLING Tiny-Llama 1B, providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.
[**bling-tiny-llama**](https://huggingface.co/llmware/bling-tiny-llama-v0) 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:** tinyllama
- **Parameters:** 1.1 billion
- **Model Parent:** llmware/bling-tiny-llama-v0
- **Language(s) (NLP):** English
- **License:** Apache 2.0
- **Uses:** Fact-based question-answering
- **RAG Benchmark Accuracy Score:** 86.5
- **Quantization:** int4
## Model Card Contact
[llmware on hf](https://www.huggingface.co/llmware)
[llmware website](https://www.llmware.ai)
|