Sold by: IBM Data and AIÂ
Deployed on AWS
IBM Granite 3.3 Instruct 2B is an open-source model with enhanced reasoning, multilingual support, and structured output formatting.
Overview
IBM Granite 3.3 Instruct is a 2B parameter model optimized for instruction-following and complex reasoning. Built on Granite 3.3 Base with a 128K context window, it supports 12 languages and delivers strong performance on benchmarks like AlpacaEval-2.0 and Arena-Hard. It introduces structured thinking with clear separation between internal reasoning and final outputs. Trained on a curated mix of licensed and synthetic data and released under Apache 2.0, the model excels in summarization, QA, RAG, code generation, multilingual dialog, and long-context tasks. It also supports function-calling and fill-in-the-middle capabilities.
Highlights
- Granite 3.3-2B Instruct is fine-tuned for improved reasoning and instruction-following capabilities, delivering significant gains on benchmarks like AlpacaEval-2.0 and Arena-Hard.
- The model supports 12 languages, including English, German, Spanish, French, Japanese, Portuguese, Arabic, Czech, Italian, Korean, Dutch, and Chinese. Users can fine-tune it for additional languages beyond these.
- Granite 3.3 Instruct 2B excels in a range of tasks such as summarization, question-answering, retrieval-augmented generation (RAG), code generation, function-calling, multilingual dialogue, fill-in-the-middle, and long-context tasks like document summarization and QA.
Details
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Delivery method
Latest version
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.g5.12xlarge Inference (Batch) Recommended | Model inference on the ml.g5.12xlarge instance type, batch mode | $0.00 |
ml.g6e.2xlarge Inference (Real-Time) Recommended | Model inference on the ml.g6e.2xlarge instance type, real-time mode | $0.00 |
ml.g5.24xlarge Inference (Batch) | Model inference on the ml.g5.24xlarge instance type, batch mode | $0.00 |
ml.g6e.4xlarge Inference (Real-Time) | Model inference on the ml.g6e.4xlarge instance type, real-time mode | $0.00 |
ml.g6e.12xlarge Inference (Real-Time) | Model inference on the ml.g6e.12xlarge instance type, real-time mode | $0.00 |
ml.g6e.16xlarge Inference (Real-Time) | Model inference on the ml.g6e.16xlarge instance type, real-time mode | $0.00 |
ml.g6e.24xlarge Inference (Real-Time) | Model inference on the ml.g6e.24xlarge instance type, real-time mode | $0.00 |
ml.g6e.48xlarge Inference (Real-Time) | Model inference on the ml.g6e.48xlarge instance type, real-time mode | $0.00 |
ml.p4d.24xlarge Inference (Real-Time) | Model inference on the ml.p4d.24xlarge instance type, real-time mode | $0.00 |
ml.p5.48xlarge Inference (Real-Time) | Model inference on the ml.p5.48xlarge instance type, real-time mode | $0.00 |
Vendor refund policy
This model is provided by IBM completely free of charge. No payment is required to use it. Therefore, there are no purchases to refund.
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Delivery details
Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
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Version release notes
The IBM Granite 3.3 Instruct 2B model is now available under the Apache 2.0 license. This 2-billion parameter model is optimized for instruction-following and complex reasoning, with a 128K context window and multilingual support. It introduces structured thinking, enabling clear separation between reasoning and output. Trained on a curated mix of licensed and synthetic data, it delivers strong performance on industry benchmarks and supports tasks such as function-calling, RAG, multilingual dialog, and fill-in-the-middle.
Additional details
Inputs
- Summary
The model can be invoked by passing a prompt. Please see the sample notebook for details.
- Input MIME type
- application/json
https://github.com/ibm-granite-community/SageMaker/blob/main/granite-3.3-2b-instruct/real_time_sample_input_data.json
https://github.com/ibm-granite-community/SageMaker/blob/main/granite-3.3-2b-instruct/batch_sample_input_data.json
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
inputs | The prompt to be passed to the model. | - | Yes |
Resources
Vendor resources
Support
Vendor support
Support is not provided for this product.
AWS infrastructure support
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