granite · Ollama

granite4

Granite 4 features improved instruction following (IF) and tool-calling capabilities, making them more effective in enterprise applications.

tools 350m 1b 3b

638.2K Pulls 17 Tags Updated 3 months ago

granite3.3

IBM Granite 2B and 8B models are 128K context length language models that have been fine-tuned for improved reasoning and instruction-following capabilities.

tools 2b 8b

865K Pulls 3 Tags Updated 9 months ago

granite3.2-vision

A compact and efficient vision-language model, specifically designed for visual document understanding, enabling automated content extraction from tables, charts, infographics, plots, diagrams, and more.

vision tools 2b

707.5K Pulls 5 Tags Updated 11 months ago

granite3.2

Granite-3.2 is a family of long-context AI models from IBM Granite fine-tuned for thinking capabilities.

tools 2b 8b

246.4K Pulls 9 Tags Updated 11 months ago

granite3.1-moe

The IBM Granite 1B and 3B models are long-context mixture of experts (MoE) Granite models from IBM designed for low latency usage.

tools 1b 3b

2.2M Pulls 33 Tags Updated 1 year ago

granite-code

A family of open foundation models by IBM for Code Intelligence

3b 8b 20b 34b

609.9K Pulls 162 Tags Updated 1 year ago

granite3.1-dense

The IBM Granite 2B and 8B models are text-only dense LLMs trained on over 12 trillion tokens of data, demonstrated significant improvements over their predecessors in performance and speed in IBM’s initial testing.

tools 2b 8b

325K Pulls 33 Tags Updated 1 year ago

granite3-dense

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

tools 2b 8b

325.9K Pulls 33 Tags Updated 1 year ago

granite3-moe

The IBM Granite 1B and 3B models are the first mixture of experts (MoE) Granite models from IBM designed for low latency usage.

tools 1b 3b

286.6K Pulls 33 Tags Updated 1 year ago

granite-embedding

The IBM Granite Embedding 30M and 278M models models are text-only dense biencoder embedding models, with 30M available in English only and 278M serving multilingual use cases.

embedding 30m 278m

193.4K Pulls 6 Tags Updated 1 year ago