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A developer shares local inference benchmarks and systemd configurations for running the Qwen3.6-27B model on an NVIDIA RTX Pro 4500 Blackwell GPU using llama.cpp. The post requests optimization tips for throughput and explores potential use cases for larger models.
llamacpp will soon support Multi-Token Prediction (MTP), enhancing inference efficiency.
Reddit user demonstrates llamacpp speculative decoding boosting Qwen-3.6-27B token speed from 13.6 to 136.75 t/s, sharing exact commands and hardware setup.
Community release of Qwen3.6-27B stripped of safety refusals and packaged in optimized K_P GGUF quants for llama.cpp and LM Studio.
User benchmarks Qwen3.6-27B-Q8_0 at ~13 tokens/sec on 3 mixed GPUs with 128k context via llama.cpp, asking if performance is typical.
Pull request adds optimized x86 and generic CPU q1_0 dot-product kernels to ggml-cpu, improving quantized LLM inference speed.