Qwen 2.5 27B achieves 42 TPS on 16GB VRAM using custom llama.cpp fork
October 17, 2026
Running Qwen 2.5 27B via an optimized llama.cpp fork, a single 16GB GPU can achieve 42.7 TPS with 262k context. The configuration uses Unsloth IQ4XS quantization, KV cache streaming, and q4 KV cache values with q8 keys to minimize VRAM requirements.
HOW THIS AFFECTS YOU
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builderYou can deploy larger models on consumer-grade hardware by optimizing KV cache quantization and streaming.
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researcherThe implementation of MTP and ngram prediction in local inference forks provides new avenues for efficiency research.