docs: publish official Mark AI model card and benchmarks
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README.md
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@@ -51,7 +51,7 @@ Mark-Engineer-V2-8B is a specialized 8.01-billion-parameter Mixture-of-Experts (
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Engineered with Multi-Head Latent Attention (MLA), 24 routed experts plus 1 shared expert (Top-2 routing, ~1.63B active compute per token), and Multi-Token Prediction (MTP, Depth 1).
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> **IMPORTANT DISCLOSURE: TRAINED BUT UNTESTED**
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> Mark-Engineer-V2-8B has completed its pre-training curriculum (convergence loss: 1.9047). However, this checkpoint has **not yet undergone live human qualitative evaluation, automated red-teaming, or standardized bench testing**. All stated capabilities represent architectural design specifications and curriculum objectives. Users are advised to run preliminary evaluations in sandboxed environments.
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Engineered with Multi-Head Latent Attention (MLA), 24 routed experts plus 1 shared expert (Top-2 routing, ~1.63B active compute per token), and Multi-Token Prediction (MTP, Depth 1).
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> **IMPORTANT DISCLOSURE: TRAINED BUT UNTESTED (TREINADO MAS NÃO TESTADO)**
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> Mark-Engineer-V2-8B has completed its pre-training curriculum (convergence loss: 1.9047). However, this checkpoint has **not yet undergone live human qualitative evaluation, automated red-teaming, or standardized bench testing**. All stated capabilities represent architectural design specifications and curriculum objectives. Users are advised to run preliminary evaluations in sandboxed environments.
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