bling-tiny-llama-onnx
is a very small, very fast fact-based question-answering model, designed for retrieval augmented generation (RAG) with complex business documents, quantized and packaged in ONNX int4 for AI PCs using Intel GPU, CPU and NPU.
This model is one of the smallest and fastest in the series. For higher accuracy, look at larger models in the BLING/DRAGON series.
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llmware bling-tiny-llama-onnx online free url in huggingface.co:
bling-tiny-llama-onnx is an open source model from GitHub that offers a free installation service, and any user can find bling-tiny-llama-onnx on GitHub to install. At the same time, huggingface.co provides the effect of bling-tiny-llama-onnx install, users can directly use bling-tiny-llama-onnx installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
bling-tiny-llama-onnx install url in huggingface.co: