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K-EXAONE 2.0 750B-A37B

K-EXAONE 2.0 750B-A37B is LG AI Research's mixture-of-experts language model with roughly 750 billion total parameters, 37 billion active parameters, and Apache 2.0 weights.

Platform: Replicate
Language ModelMixture of ExpertsOpen WeightsApache 2.0
Self-hosted accelerator cluster
Open weights under Apache 2.0; infrastructure costs vary
Commercial

🚀Function Overview

A very large self-hosted MoE model for multilingual reasoning, text generation, and tool-call experiments where operators can supply cluster-scale infrastructure.

Key Features

  • Official Hugging Face repository LGAI-EXAONE/K-EXAONE-2.0-750B-A37B
  • Approximately 750B total parameters and 37B activated parameters
  • 256 experts with 8 experts selected per token in the published configuration
  • Ten languages listed in the official model metadata
  • Apache 2.0 model license
  • BF16 weights plus official FP8, NVFP4, and DSpark variants

Use Cases

  • Evaluating large multilingual MoE models on controlled internal workloads
  • Testing Korean and English reasoning or instruction-following tasks
  • Building self-hosted text and tool-use experiments on cluster infrastructure
  • Comparing full-precision and official quantized deployment variants

⚙️Input Parameters

messages

array

Chat messages formatted with the repository's published tokenizer chat template.

tools

array

Optional tool declarations supported by the published chat template; runtime behavior depends on the serving stack.

💡Usage Examples

Example 1

Input Parameters

{
  "messages": [
    {
      "role": "user",
      "content": "Summarize the deployment risks in this architecture proposal."
    }
  ]
}

Output Results

Generated text from the self-hosted K-EXAONE 2.0 serving stack.