Model overview
**Teutonic-II 110B Genesis** is an open-weight, compute-efficient sparse Mixture-of-Experts (MoE) language model with approximately **110B total parameters** and an estimated **~7.3B activated parameters per token**. The **Genesis checkpoint is initialized with random weights and has not yet undergone pretraining**, providing a clean starting point for continued pretraining and decentralized model improvement through **Teutonic** on **Bittensor Subnet 3**. The model is built on a modified **MiMoV2-style architecture**, combining sparse MoE layers with hybrid Global and Sliding Window Attention, Grouped Query Attention, asymmetric QK/V head dimensions, partial Rotary Position Embeddings, and attention-sink mechanisms. **In addition to adopting MiMoV2 architectural concepts, the Teutonic team introduces a modification to the MoE implementation that enables expert sharing.** Teutonic-II 110B Genesis is designed as a compute-efficient large-scale sparse language model architecture for continued pretraining and decentralized model improvement.
Key features
特点摘要待依据来源补齐，不凭模型名称推断能力。
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
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| Source / channel | Input | Output | Billing unit | Collected at |
|---|---|---|---|---|
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Estimate monthly base token costs
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Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
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Do open weights permit free commercial use?
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Sources & traceability
许可证：来源未披露，须进一步核验。模型介绍与第三方评测均以原来源的具体版本和方法为准。