Llama.cpp Adds DFlash Support For Speculative Decoding
llama.cpp recently added DFlash support to its speculative decoding arsenal. Along with MTP, Eagle3 and various ngram-based techniques, the local model performance takes another step up. Special thanks to NVIDIA team and Ruixiang Wang specifically for leading this effort! https://github.com/ggml-org/llama.cpp/pull/22105
GgerganovTECH#824via XA GitHub pull request indicates that llama.cpp added DFlash support for speculative decoding, and a post on X from @ggerganov described it as another performance step for local models alongside MTP, Eagle3 and ngram-based techniques. That is the clearest public read right now: a source-backed code change, amplified on X, with limited public discussion beyond the original post and its reposts. Readers can see what was added and who highlighted it, but not much broader reaction yet.
RT @ggerganov: llama.cpp recently added DFlash support to its speculative decoding arsenal. Along with MTP, Eagle3 and various ngram-based…
ClementDelangueTECHRelated Stories
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Supercool, Llama.cpp is evolving everyday! I would really love to see some updates on the Android support and inference optimizations there. The Hexagon NPU backend there works, there's Vulkan GPU acceleration too, but seems like there's room for optimization still! GGUF leads tho!
