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- license: apache-2.0
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+ license: apache-2.0
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+ inference: false
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+ ---
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+ # bling-tiny-llama-ov
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+ <!-- Provide a quick summary of what the model is/does. -->
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+ **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.
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+ [**bling-tiny-llama**](https://huggingface.co/llmware/bling-tiny-llama-v0) is a fact-based question-answering model, optimized for complex business documents.
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+ Get started right away with [OpenVino](https://github.com/openvinotoolkit/openvino)
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+ Looking for AI PC solutions and demos, contact us at [llmware](https://www.llmware.ai)
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+ ### Model Description
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+ - **Developed by:** llmware
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+ - **Model type:** tinyllama
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+ - **Parameters:** 1.1 billion
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+ - **Model Parent:** llmware/bling-tiny-llama-v0
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+ - **Language(s) (NLP):** English
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+ - **License:** Apache 2.0
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+ - **Uses:** Fact-based question-answering
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+ - **RAG Benchmark Accuracy Score:** 86.5
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+ - **Quantization:** int4
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+ ## Model Card Contact
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+ [llmware on hf](https://www.huggingface.co/llmware)
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+ [llmware website](https://www.llmware.ai)