Qwen3.8-27B UD-Q4_K_XL@262k context(66 tok/s at that depth) on a single 3090: 138 tok/s sampled decode (157 greedy, 233 code, 382 parallel),KL divergence @160k 0.00472 (q8_0: 0.00467)
Same card, same model file (unsloth's UD-Q4_K_XL), same client and prompts, one session, llama.cpp tuned at its fastest setting (4 MTP drafts, q8_0 KV): Short prompts: 1.5x to 2.1x, depending on the prompt. Writing code 233 vs 111 tok/s, a migration plan 159 vs 90, explaining a hash map 145 vs 85,…
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