Sold by: AI21 LabsÂ
Deployed on AWS
Excels at complex reasoning tasks across all prompt lengths, making it ideal for applications that require high quality outputs.
Overview
Jamba 1.5 Large is the first of its kind hybrid Mamba-Transformer architecture at a production grade level offering unmatched efficiency. With an unprecedented context window length (256K), it offers superior quality output for tasks needing large input context & low latency, at a competitive price point for its class.
Highlights
- With a 256K effective long context window, Jamba 1.5 models lead the NVIDIA RULER benchmark—the standard for measuring effective context windows across practical tasks, improving the output quality of key enterprise workflows, such as lengthy document summarization and multi-document analysis.
- 2.5X faster than leading models in its size class on long context and fastest across all context lengths.
- Supports function calling/tool use, structured output (JSON), and grounded generation with citation mode and documents API.
Details
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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 |
|---|---|---|
ml.m5.large Inference (Batch) Recommended | Model inference on the ml.m5.large instance type, batch mode | $0.00/host/hour |
inference.count.m.i.c Inference Pricing | inference.count.m.i.c Inference Pricing | $60.00/request |
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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.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
Model release
Additional details
Inputs
- Summary
Jamba 1.5 Large is the first of its kind hybrid Mamba-Transformer architecture at a production grade level offering unmatched efficiency. With an unprecedented context window length (256K), it offers superior quality output for tasks needing large input context & low latency, at a competitive price point for its class.
- Input MIME type
- application/json
{
"messages":[
{
"role":"user",
"content":"I need help with your product. Can you please assist?"
}
],
"temperature":1,
"top_p":1,
"n":1,
"stop":"\n"
}
https://docs.ai21.com/reference/jamba-15-api-ref#request-details
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
messages | A list of message objects for the conversation history, which can include system, user, assistant, and tool messages.
See https://docs.ai21.com/reference/jamba-15-api-ref#request-parameters for full description. | Type: FreeText | Yes |
temperature | Controls randomness. allowed range [0,2] | Default value: 1
Type: Continuous
Minimum: 0
Maximum: 2 | No |
top_p | Controls diversity via nucleus sampling. | Default value: 1
Type: Continuous
Minimum: 0
Maximum: 1 | No |
n | Number of completions to generate for each prompt. | Default value: 1
Type: Integer
Minimum: 1
Maximum: 16 | No |
stop | Sequences where the API will stop generating further tokens. Up to 4 sequences | Default value: []
Type: FreeText | No |
max_tokens | Maximum number of tokens to generate. | Default value: 4096
Type: Integer | No |
response_format | Setting to { "type": "json_object" } enables JSON mode, which guarantees the message the model generates is valid JSON | Default value: null
Type: FreeText | No |
tools | A list of tools the model may call. Currently, only functions are supported as a tool. Use this to provide a list of functions the model may generate JSON inputs for. A max of 128 functions are supported.
See https://docs.ai21.com/reference/jamba-15-api-ref#request-parameters for full description. | Default value: []
Type: FreeText | No |
documents | A list of relevant documents the model can ground its responses on, if the user explicitly says so in the prompt. Essentially acts as an extension to the prompt, with the ability to add metadata. each document is a dictionary.
See https://docs.ai21.com/reference/jamba-15-api-ref#request-parameters for full description. | Default value: []
Type: FreeText | No |
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Talk to our experts: support-amazon@ai21.comÂ
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Jamba 1.5 Large is the first of its kind hybrid Mamba-Transformer architecture at a production grade level offering unmatched efficiency. With an unprecedented context window length (256K), it offers superior quality output for tasks needing large input context & low latency, at a competitive price point for its class.
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