Summary
A user tested Qwen3.5-27B, comparing its original 16-bit (BF16) version against an 8-bit (FP8) quantized version for both weights and KV cache. The tests showed practically identical results on the Aider benchmark, indicating no significant performance loss. The conclusion recommends using FP8 for both weights and cache, as it dramatically increases the available context for local LLM inference.
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