Qwen 3.6 & llama.cpp Push Local Inference Limits on Consumer GPUs
The open-weight model Qwen 3.6, in its 35 billion parameter version, has achieved an impressive 110 tokens per second inference speed on consumer GPUs with 12GB of VRAM. This performance was enabled by a specialized variant of llama.cpp, referred to as ik_llama.cpp, and specific quantization techniques. Additionally, a 27 billion parameter version of Qwen 3.6 has been successfully deployed locally using llama.cpp's server configuration, providing a practical example for self-hosted AI applications. AI
IMPACT Accelerates the accessibility and practicality of running powerful LLMs on local hardware, reducing reliance on cloud services.