Sold by: InceptionÂ
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Mercury Coder is the first diffusion large language model (dLLM). Applying a breakthrough discrete diffusion approach, the model runs 5-10x faster than even speed optimized models like Claude 3.5 Haiku and GPT-4o Mini while matching their performance. Mercury Coder Small's speed means that developers can stay in the flow while coding, enjoying rapid chat-based iteration and responsive code completion suggestions. On Copilot Arena, Mercury Coder ranks 1st in speed and ties for 2nd in quality. Read more in the blog https://www.inceptionlabs.ai/introducing-mercury.
Overview
Diffusion-based approach to language generation is pioneered and inspired by advanced AI systems for images and video like Midjourney and Sora and provides unprecedented speed, quality, and generative control. Our diffusion large language models (dLLMs) provide: 1. Unparalleled speed 2. Improved efficiency 3. Enhanced quality.
Highlights
- Unparalleled speed - 5-10X faster than than traditional LLMs.
- Improved efficiency - 5-10X cheaper than traditional LLMs.
- Enhanced quality - 2X model size with the same latency and cost.
Details
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Latest version
Deployed on AWS
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Pricing
Free trial
Try this product free for 7 days according to the free trial terms set by the vendor.
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 | $5.00 |
ml.p5.48xlarge Inference (Real-Time) Recommended | Model inference on the ml.p5.48xlarge instance type, real-time mode | $6.25 |
ml.g5.24xlarge Inference (Batch) | Model inference on the ml.g5.24xlarge instance type, batch mode | $5.00 |
ml.g5.48xlarge Inference (Batch) | Model inference on the ml.g5.48xlarge instance type, batch mode | $5.00 |
Vendor refund policy
Please contact support@inceptionlabs.ai if you require a refund for any reason.
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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
- First release
Additional details
Inputs
- Summary
Our model takes inputs in OpenAI-compatible chat completions format:
{ "messages": [ { "role": "user", "content": "Hello! How are you?" } ], "stream": false, "max_tokens": 1024 }
{
"messages": [
{
"role": "user",
"content": "Hello! How are you?"
}
],
"stream": false,
"max_tokens": 1024
}
{
"messages": [
{
"role": "user",
"content": "Hello! How are you?"
}
],
"stream": false,
"max_tokens": 1024
}
Support
Vendor support
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Mercury is the first diffusion large language model (dLLM). Applying a breakthrough discrete diffusion approach, the model runs 5-10x faster than even speed optimized models like Claude 3.5 Haiku and GPT-4o Mini while matching their performance. Mercury's speed means that developers can stay in the flow while coding, enjoying rapid chat-based iteration and responsive code completion suggestions.
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