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README.md
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---
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license: apache-2.0
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base_model:
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- Qwen/Qwen3-Coder-Next
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tags:
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- code
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---
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Iapetus-v2-Kernel is a 80-billion parameter coding model for Assembly (ptxas, arm, and x86), Cuda, C, C++ by Kronos Labs, fine-tuned on top of Qwen3-Coder-Next's Hybrid attention layout.
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It was trained on closed source datasets containing synthetically generated and verified code. We hope to spur interest in LLM's capable of low-level programming.
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The model contains the following layout:
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Size: 80B Parameters, A3B (3 Billion Active)
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Depth: 48 layers
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Hybrid layout: 12 * (3 * (Gated DeltaNet -> MoE) -> 1 * (Gated Attention -> MoE))
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MoE: 512 experts, 10 activated experts, 1 shared expert
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Context Length: 262,144 native
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