AI Briefingllama.cpp Adds Support for NVIDIA Nemotron-3-Puzzle-75B-A9B Model
·2026.09.03 16:35
Key point
llama.cpp now supports running the Nemotron-3-Puzzle-75B-A9B model, which adopts NVIDIA's hybrid MoE architecture.
Details
Support for NVIDIA's Nemotron-3-Puzzle-75B-A9B model has been added to the llama.cpp project. This model utilizes a 75B MoE architecture and is currently runnable, though MTP (Multi-Token Prediction) functionality is not yet supported.
Model Architecture and Features
- Hybrid Structure: Uses a hybrid MoE architecture with alternating Mamba, MoE, and Attention layers.
- MTP Support Plan: Designed to support MTP functionality to increase text generation speed, similar to the parent model Nemotron-3-Super, but it has not yet been implemented in llama.cpp.
- Parameter Efficiency: Reduced total parameters from 120.7B to 75.3B and active parameters from 12.8B to 9.3B compared to the parent model, achieving a lighter footprint.
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