TriAttention Compresses KV Cache 10.7x — How Trigonometry Fixed Long-Context Reasoning
TriAttention uses pre-RoPE vector concentration and trigonometric scoring to compress KV cache 10.7x while matching full attention accuracy on reasoning tasks.
TriAttention uses pre-RoPE vector concentration and trigonometric scoring to compress KV cache 10.7x while matching full attention accuracy on reasoning tasks.
Run Gemma 4 locally in minutes: the 26B MoE needs just 14 GB VRAM. Ollama vs llama.cpp vs vLLM compared, plus the tool-calling and Apple Silicon bugs to dodge.