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README.md

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 This model was converted to GGUF format from [`ibm-granite/granite-3.3-8b-instruct`](https://huggingface.co/ibm-granite/granite-3.3-8b-instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
 Refer to the [original model card](https://huggingface.co/ibm-granite/granite-3.3-8b-instruct) for more details on the model.
 
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-Granite-3.3-8B-Instruct is a 8-billion parameter 128K context length language model fine-tuned for improved reasoning and instruction-following capabilities. Built on top of Granite-3.3-8B-Base, the model delivers significant gains on benchmarks for measuring generic performance including AlpacaEval-2.0 and Arena-Hard, and improvements in mathematics, coding, and instruction following. It supprts structured reasoning through <think></think> and <response></response> tags, providing clear separation between internal thoughts and final outputs. The model has been trained on a carefully balanced combination of permissively licensed data and curated synthetic tasks.
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 ## Use with llama.cpp
 Install llama.cpp through brew (works on Mac and Linux)