Sold by: Multiverse ComputingÂ
Deployed on AWS
Reduce inference costs and increase inference speed by using Multiverse Computing's CompactifAI Llama 4 Scout Slim. A 50% compression of the widely known Meta Llama 4 Scout model.
Overview
Reduce inference costs and increase inference speed by using Multiverse Computing's CompactifAI Llama 4 Scout Slim. A 50% compression of the widely known Meta Llama 4 Scout model.
Highlights
- 50% less memory usage
- 25% Faster Inference
- Maintains 97% of the original model intelligence
Details
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Features and programs
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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.xlarge Inference (Batch) Recommended | Model inference on the ml.g5.xlarge instance type, batch mode | $0.29 |
ml.p5.48xlarge Inference (Real-Time) Recommended | Model inference on the ml.p5.48xlarge instance type, real-time mode | $7.72 |
Vendor refund policy
Placeholder Refund Policy
Legal
Vendor terms and conditions
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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
CompactifAI Llama 4 Scout inference on a vLLM engine
Additional details
Inputs
- Summary
Our model accepts an input compatible with openAI's chat completions endpoint.
- Limitations for input type
- Context Length Limit: `256000` Maximum Output Sequence Length: `32768`
- Input MIME type
- application/json
{
"model": "cai-llama-4-scout-slim",
"messages": [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Tell me about quantum computing."}
]
}
{
"model": "cai-llama-4-scout-slim",
"messages": [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Tell me about quantum computing."}
]
}
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
messages | An array of dictionaries, each dictionary must follow this format:
{
"role": "system" | "user" | "assistant",
"content": "The message content"
} | The sum of the tokens of your messages array must not exceed 223232 | Yes |
model | A valid model name: `cai-llama-4-scout-slim` | - | Yes |
Support
Vendor support
Send an email to support@compactif.ai and provide a description of your issue
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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