Ggml-org merges CUDA patch to accelerate low-bit MMVQ in llama.cpp
A pull request (30517) to the ggml‑org/llama.cpp repository adds a CUDA patch that addresses a regression on GCN and introduces a fast path for several low‑bit quantization types. The change returns a single warp for Q3K (when ncolsdst is 2 or 3) and Q6K (when ncolsdst is 4), and adds a special case for RDNA2 GPUs that returns a single warp for Q2K when the column size equals 8.\n\nThe patch was…
Key points
- Patch adds a 1‑warp fast path for Q3K, Q6K, and Q2K low‑bit types on CUDA
- Special handling for AMD RDNA2 GPUs (e.g., Radeon RX 6800) is included
- Authors plan further benchmarking on AMD Instinct MI100 and other quant types
The story so far
4 episodes →- Ggml-org merges CUDA patch to accelerate low-bit MMVQ in llama.cppthis story
CUDA: faster MMVQ for low-bit types by am17an · Pull Request #30517 · ggml-org/llama.cpp
github.com · 14 October 2026Loading the full article…
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