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Today we discuss the release and features of *IBM's Granite 4.0 Nano Language Models**, specifically the 1-billion (1B) and 350-million (350M) parameter versions. The Hugging Face model card details the **Granite-4.0-H-1B* as a lightweight, instruct-finetuned model with an Apache 2.0 license, optimized for on-device and research deployments, supporting capabilities like RAG and function calling across several languages. Meanwhile, the Reddit discussion from the *r/LocalLLaMA* subreddit features *IBM's official team engaging with the community**, answering questions about the model's architecture, including its **hybrid nature with Mamba-2 blocks**, its performance on various benchmarks, and future plans for training larger models and reasoning counterparts within the Granite 4.0 family. Both sources emphasize the models' **efficiency and competitive performance* against other small language models (SLMs) in areas like tool calling, code tasks, and safety.