Identity
- Status
- active
- Developer ID
ibm-granite/granite-embedding-english-r2- Released
- Aug 15, 2025
- Version
- granite-embedding-english-r2
- License
- apache-2.0
IBMGranite Embedding English r2
granite-embedding-english-r2 is an open-weight text-embedding model published by IBM.
- Token context
- 8K tokens
- Inputs
- Text
- Outputs
- Embedding
- Released
- Aug 15, 2025
Providers & Pricing
0 current hosted offerings
No Current Hosted API Offering Verified
No exact current provider endpoint or published price has been verified for this model version.
At a Glance
Model Facts
Capacity
- Token context
- 8K tokens
- Maximum output
- Unknown
- Total parameters
- 149M
- Active parameters
- Unknown
- Knowledge cutoff
- Not reported
Interface and Access
- Inputs
- Text
- Outputs
- Embedding
- API available
- Unknown
- Open weights
- Yes
- Self-hostable
- Yes
- Reasoning
- No
- Vision
- No
- Tool calling
- No
- Capabilities
- embeddings
This page represents one developer model product. Dated API snapshots, serving endpoints, pricing, regions, quantizations, and service tiers attach as versioned aliases or provider details and never create duplicate public model records.
Version Lineage
PredecessorUnknown
SuccessorsUnknown
Aliasesibm-granite/granite-embedding-english-r2, ibm-granite/granite-embedding-english-r2
Explicit Unknowns
- Maximum output
- Knowledge cutoff
- API availability
- Provider pricing
Primary Evidence
Sources and Observation Date
ibm-granite/granite-embedding-english-r2 developer model repositoryIBM · observed Aug 28, 2026ibm-granite/granite-embedding-english-r2 config.json at 47ea694b257bIBM · observed Aug 28, 2026ibm-granite/granite-embedding-english-r2 README.md at 47ea694b257bIBM · observed Aug 28, 2026ibm-granite/granite-embedding-english-r2 immutable Hub API metadataIBM · observed Aug 28, 2026ibm-granite/granite-embedding-english-r2 tokenizer_config.json at 47ea694b257bIBM · observed Aug 28, 2026Hugging Face catalogHugging Face · observed Sep 2, 2026
Comparable Peers
Related Model Comparisons
Questions
Granite Embedding English r2 FAQs
What is Granite Embedding English r2?+
granite-embedding-english-r2 is an open-weight text-embedding model published by IBM. It is developed by IBM and its current sourced lifecycle status is active.
What inputs and outputs does Granite Embedding English r2 support?+
Granite Embedding English r2's current record lists Text as input and Embedding as output.
How much context does Granite Embedding English r2 support?+
The current record lists a 8K-token context window and does not report a maximum output length.
Is Granite Embedding English r2 available through an API?+
Granite Embedding English r2's current primary-source record does not establish API availability. No provider endpoint is treated as available without direct provider evidence.
How large is Granite Embedding English r2?+
The current record lists 149M total parameters and an unknown active parameter count. Its architecture is ModernBertModel.
What capabilities and tasks does Granite Embedding English r2 support?+
Granite Embedding English r2's recorded capabilities are embeddings. Its supported tasks are embedding.
How much does Granite Embedding English r2 cost through an API?+
No directly sourced token price is currently attached to Granite Embedding English r2. Missing prices remain unknown rather than being inferred from another model or provider.
Can Granite Embedding English r2 be self-hosted?+
Granite Embedding English r2 is an open-weight model. Self-hosting is supported, and the recorded license is apache-2.0.
Does Granite Embedding English r2 have related versions or aliases?+
No predecessor is recorded. No successor is recorded. Recorded aliases are ibm-granite/granite-embedding-english-r2.
Which models can Granite Embedding English r2 be compared with?+
The current compatible peer set includes Granite Embedding 107m Multilingual, Granite Embedding 278m Multilingual, Granite Embedding 30m English, Granite Embedding 311m Multilingual r2, and Qwen3 Embedding 8B. Compatibility requires shared sourced modalities and tasks; it does not imply that one model is better. Browse model comparisons →