
Overview
VARCO LLM 2.0 is NCSOFT's large language model that can be applied to the development of various natural language processing-based AI services such as text generation, question answering, chatbots, summarization, and information extraction. NCSOFT's VARCO LLM 2.0 was developed with our own technology, including data construction, pre-training, instruction tuning and alignment tuning. We evaluated VARCO LLM 2.0 on various NLP tasks and its performance has significantly improved compared to VARCO LLM 1.0, and it boasts the highest performance among other Korean LLMs of similar sizes. In particular, it has been trained to be used in high-level natural language processing applications such as creative writing, summarization, question and answering, chatbots and translation, and shows high performance in related quantitative indicators. For inquiries regarding further performance improvement or collaboration for service applications, please contact us by email (varco_llm@ncsoft.com ).
Highlights
- Korean Text Generation : VARCO LLM 2.0 is optimized for Korean natural language generation applications. In particular, it provides more natural and creative responses in understanding user instructions and generating text.
- Fine-tuning your own language model : You can fine-tune VARCO LLM with your own data on the AWS platform. Create your own language model with VARCO LLM.
- Key Skills * Question Answering * Summarization * Translation * Text Generation * Chatbots * Information Extraction * Natural Language Understanding * Creative Writing * Instruction Following * Sentiment Analysis
Details
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Features and programs
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Pricing
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.g4dn.4xlarge Inference (Batch) Recommended | Model inference on the ml.g4dn.4xlarge instance type, batch mode | $0.00 |
ml.g5.4xlarge Inference (Real-Time) Recommended | Model inference on the ml.g5.4xlarge instance type, real-time mode | $0.70 |
ml.g5.4xlarge Training Recommended | Algorithm training on the ml.g5.4xlarge instance type | $0.70 |
Vendor refund policy
Please contact us : varco_llm@ncsoft.comÂ
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Delivery details
Amazon SageMaker algorithm
An Amazon SageMaker algorithm is a machine learning model that requires your training data to make predictions. Use the included training algorithm to generate your unique model artifact. Then deploy the 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.
Version release notes
Major Version release of VARCO LLM 2.0 small Finetuning from NCSOFT
Additional details
Inputs
- Summary
Model accepts JSON requests. You can check examples and fields descriptions.
- Input MIME type
- application/json
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
repetition_penalty | The parameter for repetition penalty. 1.0 means no penalty.
| Default value: 1.0
Type: Continuous | No |
temperature | The value used to modulate the next token probabilities.
| Default value: 0.7
Type: Continuous | No |
top_k | The number of highest probability vocabulary tokens to keep for top-k-filtering.
| Default value: 50
Type: Integer | No |
top_p | If set to float < 1, only the smallest set of most probable tokens with probabilities that add up to top_p or higher are kept for generation.
| Default value: 1.0
Type: Continuous | No |
text | The sequence used as a prompt for the generation or as model inputs to the encoder.
| Type: FreeText | Yes |
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