llamaperf

Qwen3.5 27B

on NVIDIA RTX 3090

Tone: positiveNVIDIA hardware
Oct 19, 2026
Throughput
1600.0 tokens/s prompt processing (prefill)Prompt processing measures input prefill speed; it does not tell you the time to first token.
Quant
Q4_K_M (GGUF)
KV cache
8-bit
VRAM reported
24 GB

Use cases

coding

Summary

User reports 140 t/s writing code with a custom inference engine built from scratch for Qwen3.5-27B on an RTX 3090 24GB, with CPU offload. Setup uses the unsloth Q4_K_M GGUF weights with additional 8-bit quantization of the KV cache and hidden states. Coding with a 4K-token file in context drops to 95 t/s, and prefill is about 1,600 tok/s. The user compares these figures against llama.cpp with MTP on the same hardware.