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Speculative Decoding Across My Fleet: Gains From +200% to -80%, and No Single Setting Fits Every Model

thefrontierlab.ai · published 20 August 2026

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https://github.com/ggml-org/llama.cpp/issues/25618?ref=thefrontierlab.ai
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MTP Defaults Are a Trap: What 260 Runs Showed About Speculative Decoding on Qwen3.6 Read at the source ↗
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https://www.reddit.com/r/StrixHalo/comments/1vs9wib/comment/p4jz0m3/?ref=thefrontierlab.ai
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https://github.com/ggml-org/llama.cpp/pull/25784?ref=thefrontierlab.ai
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https://huggingface.co/unsloth/DeepSeek-V4-Flash-0731-GGUF/tree/main/dspark?ref=thefrontierlab.ai
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rohitraj.tech
https://github.com/ggml-org/llama.cpp/pull/26608?ref=thefrontierlab.ai
github.com
https://github.com/ggml-org/llama.cpp/discussions/25198?ref=thefrontierlab.ai
github.com
https://thefrontierlab.ai/frontier-watch-models/
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Quantized KV Cache Helps Six of My Nine Models and Actively Hurts the Two Newest Ones Read at the source ↗
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