[r/LocalLLaMA] Qwen3.5-35B GGUF quants (16–22 GiB) - KLD + speed comparison

Summary

This post benchmarks Qwen3.5-35B GGUF quantizations (16-22 GiB), focusing on Kullback-Leibler Divergence (KLD) to measure the similarity between quantized and FP16 logit distributions. It also includes a speed comparison. These results are crucial for users looking to optimize local deployment of this large language model by understanding the trade-offs between model size, quality, and performance.

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