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.
🚀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
arrayChat messages formatted with the repository's published tokenizer chat template.
tools
arrayOptional 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
Quick Actions
Technical Specifications
- Hardware Type
- Self-hosted accelerator cluster
- Commercial Use
- Supported
- Pricing
- Open weights under Apache 2.0; infrastructure costs vary
- Platform
- Replicate
Related Keywords
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