GraySoft
Projects Models Compare Cloud benchmarks FAQ Download guIDE →

VAREQON author hub

TIP KV cache quantization without any fork recommended, 2026 : upstream llama.cpp/Ollama now cover this natively — use ctk q8 0 ctv q8 0 ~half KV memory, negligible quality loss: perplexity +0.002–0.05 or ctk q4 0 ctv q4 0 ~quarter memory, ≈7.6% perplexity increase . In Ollama: …

Models
2
Downloads
0

Run models locally with guIDE

Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.

Download guIDE → · Browse 524k+ models · Compare models