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Iapetus-v2-Kernel
KronosLabs/Iapetus-v2-Kernel
Iapetus-v2-Kernel is a machine learning model from KronosLabs. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
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. It was trained on closed sourc…
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317 GB on disk
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At a glance
- License
- apache-2.0
- Model type
- qwen3_next
- Access
- Public
- Created
- Apr 17, 2026
- Updated
- Apr 17, 2026
- SHA
- 77d10913
Base models
Model card
From the Hugging Face model README
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. It was trained on closed source datasets containing synthetically generated and verified code. We hope to spur interest in LLM's capable of performant low-level programming.
The model contains the following layout:
Size: 80B Parameters, A3B (3 Billion Active)
Depth: 48 layers
Hybrid layout: 12 * (3 * (Gated DeltaNet -> MoE) -> 1 * (Gated Attention -> MoE))
MoE: 512 experts, 10 activated experts, 1 shared expert
Context Length: 262,144 native
- Type
- qwen3_next
- License
- apache-2.0
- Created
- Apr 17, 2026
- Updated
- Apr 17, 2026