granite-embedding

The IBM Granite Embedding **30M and 278M models** are text-only dense biencoder embedding models, with **30M** available in English only and **278M** serving multilingual use cases. These models are designed to produce fixed length vector representations for a given text chunk, which can be used for text similarity, retrieval, and search applications.

### Parameter Sizes

**30M:**
  
`ollama run granite-embedding:30m`

**278M:**

`ollama run granite-embedding:278m`

### Supported Languages
**30M:** English 
**278M:** English, German, Spanish, French, Japanese, Portuguese, Arabic, Czech, Italian, Korean, Dutch, Chinese (Simplified)

## Granite dense models

The Granite dense models are available in **2B and 8B** parameter sizes designed to support tool-based use cases and for retrieval augmented generation (RAG), streamlining code generation, translation and bug fixing.

[See model page](https://ollama.org.cn/library/granite3-dense)

## Granite mixture of experts models

The Granite mixture of experts models are available in **1B and 3B** parameter sizes designed for **low latency usage**.

[See model page](https://ollama.org.cn/library/granite3-moe)

## Learn more

- **Developers:** IBM Research
- **GitHub Repository:** [ibm-granite/granite-language-models](https://github.com/ibm-granite/granite-3.1-language-models)
- **Website**: [Granite Docs](https://www.ibm.com/granite/docs/)
- **Release Date**: December 18th, 2024
- **License:** [Apache 2.0](https://apache.ac.cn/licenses/LICENSE-2.0).

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