bling-tiny-llama-ov
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 OpenVino 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.
bling-tiny-llama-ov huggingface.co is an AI model on huggingface.co that provides bling-tiny-llama-ov's model effect (), which can be used instantly with this llmware bling-tiny-llama-ov model. huggingface.co supports a free trial of the bling-tiny-llama-ov model, and also provides paid use of the bling-tiny-llama-ov. Support call bling-tiny-llama-ov model through api, including Node.js, Python, http.
bling-tiny-llama-ov huggingface.co is an online trial and call api platform, which integrates bling-tiny-llama-ov's modeling effects, including api services, and provides a free online trial of bling-tiny-llama-ov, you can try bling-tiny-llama-ov online for free by clicking the link below.
llmware bling-tiny-llama-ov online free url in huggingface.co:
bling-tiny-llama-ov is an open source model from GitHub that offers a free installation service, and any user can find bling-tiny-llama-ov on GitHub to install. At the same time, huggingface.co provides the effect of bling-tiny-llama-ov install, users can directly use bling-tiny-llama-ov installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
bling-tiny-llama-ov install url in huggingface.co: