metadata
license: apache-2.0
inference: false
tags:
- llmware-rag
- p7
- ov
dragon-mistral-0.3-ov
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 is a fact-based question-answering model, optimized for complex business documents.
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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