Sold by: UpstageÂ
Overview
Solar Mini Chat is a compact yet powerful advanced English/Korean large language model. It is specifically fine-tuned for multi-turn chat purposes, demonstrating enhanced performance across a wide range of natural language processing tasks. This fine-tuning equips it with the ability to handle extended conversations more effectively, making it particularly adept for interactive applications. It employs a scaling method called 'depth up-scaling' (DUS), which is comprised of depthwise scaling and continued pretraining. DUS allows for a much more straightforward and efficient enlargement of smaller models than other scaling methods such as mixture-of-experts.
Highlights
- ## Key Features - **High Performance**: Solar Mini Chat is optimized for Korean chat applications, outperforming many open-source models with superior handling of Korean language nuances. - **Enhanced User Experience**: It delivers accurate, natural responses, enabling clearer communication and smoother interactions in Korean-language environments. It provides precise responses to user inputs, ensuring clearer communication and more efficient problem resolution in Korean chat applications.
- ## Key Applications The capabilities of Solar Mini Chat are particularly valuable in scenarios requiring a nuanced understanding and responsive execution of complex conversational exchanges, particularly in the Korean language. With its advanced ability to interpret and engage in detailed dialogues, Solar Mini Chat is an exceptional choice for applications demanding interactive, context-aware communication, especially tailored to the subtleties and intricacies of the Korean language.
- ## Key Tasks - Instruction Following - Natural Language Understanding - Natural Language Generation - Question Answering - Text Generation and Editing - Translation Services - Summarization - Information Extraction - Chatbots and Conversational Interfaces - Educational and Learning Assistance - Data Analysis and Report Writing - Code Generation and Debugging - Content Recommendation Systems - Sentiment Analysis and Customer Feedback Processing
Details
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Deployed on AWS
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Pricing
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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.m5.12xlarge Inference (Batch) Recommended | Model inference on the ml.m5.12xlarge instance type, batch mode | $0.00 |
ml.g5.12xlarge Inference (Real-Time) Recommended | Model inference on the ml.g5.12xlarge instance type, real-time mode | $0.80 |
ml.g4dn.12xlarge Inference (Real-Time) | Model inference on the ml.g4dn.12xlarge instance type, real-time mode | $0.80 |
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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
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Additional details
Inputs
- Summary
We support a request payload that is compatible with OpenAI's chat completion endpoint.
- Input MIME type
- application/json
{ "messages": [ { "role": "system", "content": "You are a helpful assistant." }, { "role": "user", "content": "Can you provide a Python script to merge two sorted lists?" } ], "temperature": 0.7, }
https://github.com/UpstageAI/cookbook/blob/main/aws/jumpstart/03_solar_mini_chat.ipynb
Resources
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Support
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Contact us for model fine-tuning request.
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