SKT-NRS/NRS_QWEN_MYTHOS_1M
VISIONPricing:Input $0.431 / Cached $0.0862 / Output $1.12Concurrent Unit Cost:1Model Size:9BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jun 26, 2026Architecture:Transformer0.0K Featherless Exclusive Cold
SKT-NRS/NRS_QWEN_MYTHOS_1M is a 9 billion parameter language model developed by SKT-NRS, built upon the Qwen architecture. With a context length of 32768 tokens, this model is designed for general language understanding and generation tasks. Its architecture and parameter count position it for a wide range of applications requiring robust language processing capabilities.
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Overview
SKT-NRS/NRS_QWEN_MYTHOS_1M is a 9 billion parameter language model developed by SKT-NRS, leveraging the foundational Qwen architecture. This model is engineered to handle diverse natural language processing tasks, offering a substantial parameter count for complex understanding and generation.
Key Capabilities
- General Language Understanding: Proficient in interpreting and processing human language across various domains.
- Text Generation: Capable of producing coherent and contextually relevant text outputs.
- Large Context Window: Features a 32768-token context length, enabling it to process and generate longer sequences of text, which is beneficial for tasks requiring extensive contextual awareness.
Good For
- Broad NLP Applications: Suitable for a wide array of tasks including summarization, translation, question answering, and content creation.
- Research and Development: Provides a robust base for further fine-tuning and experimentation in AI research.
- Enterprise Solutions: Can be integrated into applications requiring powerful language processing, such as chatbots, virtual assistants, and data analysis tools.