Model Detail
granite-embedding-311m-multilingual-r2
—granite-embedding-311m-multilingual-r2 is a large language model with 156M parameters released by ibm-granite. The model is registered under the feature-extraction pipeline tag on Hugging Face, distributed under the permissive apache-2.0 license.
granite-embedding-311m-multilingual-r2 ships with 156M parameters. The apache-2.0 license is permissive, allowing commercial deployment and derivative work without per-seat fees, though attribution requirements still apply.
granite-embedding-311m-multilingual-r2 is best fit for general-purpose chat and instruction-following workloads, and semantic search, retrieval, and clustering pipelines. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.
GRANITE : a Byzantine-Resilient Dynamic Gossip Learning Framework
arXiv:2504.17471v2 Announce Type: replace-cross Abstract: Gossip Learning (GL) is a decentralized learning paradigm where users iteratively exchange and aggregate models with a small set of neighboring peers. Recent approaches rely on dynamic communication graphs built using Random Peer Sampling (RP
