llama.cpp fork with TurboQuant WHT-rotated KV cache & weight compression + Gemma 4 MTP and Qwen 3.6 NextN speculative decoding (+30-50% throughput).
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Updated
Aug 6, 2026 - C++
llama.cpp fork with TurboQuant WHT-rotated KV cache & weight compression + Gemma 4 MTP and Qwen 3.6 NextN speculative decoding (+30-50% throughput).
Minimal pinned SGLang recipe for Qwen3.8-Flash-Next on one DGX Spark with exact-FP8 SSD-backed PLE, native 262K context, and NEXTN.
Extract and verify MTP/NextN GGUF speculative draft models
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