granite embedding english r2

Name: granite embedding english r2
Author: IBM

by IBMGranite

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released July 20258K context≈ 6,144 words

A focused, no-frills embedding specialist that converts English text into dense vector representations. It handles up to 8,192 tokens per input, making it comfortable with longer documents that trip up smaller embedding models. As an open-weight model under Apache 2.0, it can be deployed and fine-tuned freely, though it's strictly English-only and produces embeddings rather than generated text.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Creative Writing

Moderate

Instruction Following

granite embedding english r2

by IBMGranite

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released July 20258K context≈ 6,144 words

A focused, no-frills embedding specialist that converts English text into dense vector representations. It handles up to 8,192 tokens per input, making it comfortable with longer documents that trip up smaller embedding models. As an open-weight model under Apache 2.0, it can be deployed and fine-tuned freely, though it's strictly English-only and produces embeddings rather than generated text.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Creative Writing

Moderate

Instruction Following

Glossary

Dense VectorA compact numerical representation where most values are non-zero, used to efficiently store and compare the meaning of text.EmbeddingA dense numerical vector that represents a word, sentence, or concept in a high-dimensional space.EmbeddingsNumerical representations of text that capture semantic meaning, allowing the model to measure similarity between different words or phrases.Fine-TunedA pre-trained model further trained on a smaller, task-specific dataset to improve performance on that task.Open-Weight ModelA model whose trained weights are publicly released, allowing anyone to download and run it locally.TokensThe basic units of text that a language model processes, typically representing words or word fragments.

Capabilities

Capabilities

Use Case Fit

Glossary