new dataset: turboquant KV cache benchmarks
#1
by witcheer - opened
published 18 structured benchmark runs for qwen3.6-35B-A3B Q4_K_M on RTX 4060 Ti 8GB (32GB DDR5-6000).
covers turboquant turbo2/turbo3/turbo4 vs standard q4_0 V cache, context depths 3.5K→50K, checkpoint modes, and two agent harnesses (hermes vs pi).
novel finding: llama.cpp's default context checkpoints (every 8192 tokens, ~63 MiB each) silently accumulate in VRAM and trigger the 8GB cliff at ~26K context. disabling with gives smooth degradation instead.
this is the third dataset in the 8gb vram local llms — practitioner tested collection, alongside dense model benchmarks and MoE offload sweeps.