llama.cpp boosts local AI with MTP and new coding model

The llama.cpp project has implemented significant optimizations, including Multi-Tensor Processing (MTP) support and prompt decode improvements, to enhance local AI inference performance. These advancements allow for faster processing of large language models on consumer hardware. Additionally, a new open-weight model, Qwopus3.5-9B-Coder, has been released in GGUF format, specifically designed for agentic coding tasks. AI

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IMPACT Enhances local inference speed and expands capabilities for running advanced open-weight models on consumer hardware.

RANK_REASON The cluster details technical optimizations and a new model release for an open-source inference engine, fitting the research category. [lever_c_demoted from research: ic=1 ai=1.0]

Read on dev.to — LLM tag →

• GGUF
• llama.cpp
• NVIDIA RTX 5090
• Qwen3.6
• Qwopus3.5-9B-Coder

• infra
• model release