Sold by: JetBrains s.r.o.
Deployed on AWS
Mellum Kotlin is JetBrains' large language model (LLM) optimized for code completion in Kotlin and Java languages.
Overview
Mellum Kotlin is JetBrains' large language model (LLM) optimized for code completion in Kotlin and Java languages.
Highlights
- LLaMA-like architecture with ~4B parameters.
- Context-aware code completion with fill-in-the-middle.
- Top quality-to-size ratio.
Details
Sold by
Categories
Delivery method
Latest version
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Trust Center
Access real-time vendor security and compliance information through their Trust Center powered by Drata or Vanta. Review certifications and security standards before purchase.
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
This product is available free of charge. Free 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.
Dimensions summary
This listing is free to use, but you pay AWS for the compute that runs the model. Pricing is charged per host hour and organized by the AWS instance type you select. One instance offers both batch and real-time inference modes; the rest run in real-time mode only. Instance sizes range from smaller GPU instances to larger multi-GPU instances. You choose the instance that fits your latency, throughput, and workload needs. Your cost scales with the instance type you pick and the number of hours it runs.
Top-of-mind questions for buyers
A host hour is one hour that your chosen AWS instance runs the model. Billing tracks running time, not the number of requests processed. Idle time still counts if the instance stays running. To stop charges, you shut the instance down. Underlying AWS storage fees may still apply separately.
Real-time mode serves individual requests as they arrive, suited to low-latency, interactive use. Batch mode processes grouped requests together, suited to larger jobs where immediate response is not required. Both meter the same way, per host hour. The ml.g5.2xlarge instance supports both modes; other instances run real-time only.
Each instance type maps to different GPU capacity. Smaller GPU instances handle lighter, single-GPU workloads. Larger multi-GPU instances handle higher throughput and concurrency. The model uses a compact memory footprint, so a single GPU can serve many concurrent users. Match the instance to your latency and volume needs; your cost follows the instance you pick.
www.jetbrains.com
Helpful?
Vendor refund policy
This product is free.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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
First version available to enterprise customers.
Additional details
Inputs
- Summary
Model input should be application/json. See the input parameters and sample input data for more information.
- Input MIME type
- application/json
{"prefix": "import js", "suffix": "\n", "filepath": "main.py", "context": [], "max_length": 32, "stop_token": "\n\n", "use_control": "off"}
{"prefix": "import js", "suffix": "\n", "filepath": "main.py", "context": [], "max_length": 32, "stop_token": "\n\n", "use_control": "off"}
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
prefix | Code that appears before the cursor. | string | Yes |
suffix | Code that appears after the cursor. | string | Yes |
filepath | Relative path of the file being edited, including file name and extension (e.g. 'src/utils/helpers.ts'). | string | Yes |
context | Additional context items (such as neighbouring files, docs, etc.) | list | No |
max_length | Maximum number of BPE tokens that may be generated for the completion snippet. | integer | Yes |
stop_token | String at which generation should stop (exclusive). | string | No |
use_control | Selects the Cloud-Control mode. Use 'off' if unsure. | "on","off","silent" | Yes |
generate_indents | Whether the model should emit indentation characters. | boolean | No |
Support
Vendor support
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.
Similar products
Mellum Kotlin is JetBrains' large language model (LLM) optimized for code completion in Kotlin and Java languages.
Mellum All is JetBrains' large language model (LLM) optimized for code completion in all languages.
JetBrains IDE Services is a developer experience suite that accelerates software development while making developer tools easy to manage at scale.
Mellum Python is JetBrains' large language model (LLM) optimized for code completion in python.
The ultimate CI/CD solution built to scale with your DevOps needs.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.