VRAM Comparison of KV Cache Quantization in Qwen3.6
token---- · reddit · 2026-07-19
The post discusses the KV cache quantization and VRAM usage of Qwen3.6-35B-A3B. The core question is whether quantizing the KV cache below Q8 to save memory is worth it, and what the performance/quality trade-off looks like.
The accompanying chart shows VRAM usage curves for different KV configurations across various context lengths. As the context grows, the VRAM difference is amplified rapidly. The unquantized approach has the highest footprint, while more aggressive quantization combinations significantly reduce memory pressure, making them ideal for long-context inference scenarios.
This type of content leans more towards inference deployment and memory optimization rather than pure model capability discussions.
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