github Anbeeld/beellama.cpp preview-v0.4.7
v0.4.7 Preview

pre-release5 hours ago

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Rolling preview build from v0.4.7 at 53a68d3c3f36. Assets and moving Docker tags are replaced by newer successful branch builds. Last updated: 10/09/2026 03:28.

Changelog
  • Added true rectangular KVarN storage and attention for 64-dimensional K/V heads, including 64x128 K records, 128x64 V records, WHT64 transforms, target and owned draft caches, full-context and iSWA routing, and F16/BF16 precision tails. Existing D128, D256, and D512 record layouts and state formats remain compatible, while unsupported backend placements continue to fail closed.
  • Optimized CUDA D64 KVarN with block-parallel quantization, batched workspace staging and commit, grouped materialization, split portable/GQA attention, and generated split-MMA decode kernels. Decode consumes compressed records directly at every KV length; prompt batches above the native rotated-query limit use transient tiled materialization. Packed K2/K4 decoding now handles odd indirect and SWA offsets without slowing aligned pairs.
  • Fixed tensor-split speculative graph reuse after Meta context growth. Resetting the rotating graph context now recreates every reserved subgraph slot, preventing stale graph pointers when speculative topology changes. Attention planning uses the query-token dimension, and the original four-argument KVarN planner symbol remains available for binary compatibility.

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Docker:

  • CPU: docker pull ghcr.io/anbeeld/beellama.cpp:server-cpu-preview-v0.4.7
  • CUDA: docker pull ghcr.io/anbeeld/beellama.cpp:server-cuda-preview-v0.4.7
  • CUDA 12: docker pull ghcr.io/anbeeld/beellama.cpp:server-cuda12-preview-v0.4.7
  • CUDA 13.3: docker pull ghcr.io/anbeeld/beellama.cpp:server-cuda13-preview-v0.4.7
  • ROCm: docker pull ghcr.io/anbeeld/beellama.cpp:server-rocm-preview-v0.4.7
  • Vulkan: docker pull ghcr.io/anbeeld/beellama.cpp:server-vulkan-preview-v0.4.7
  • SYCL: docker pull ghcr.io/anbeeld/beellama.cpp:server-sycl-preview-v0.4.7

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