github Anbeeld/beellama.cpp v0.4.4

6 hours ago
Changelog
  • Updated the llama.cpp base from 74ce15741 to 6fdd0ac89 and ggml from 0.19.0 to 0.22.0. Notable inherited changes include Qwen3.8 DFlash2 with local convolution, candidate selection, M-RoPE, converter/GGUF support, speculative p_min/n_min, and wide-row CUDA top-k; Granite Switch/SWA, Muse Glimmer, Kimi K3, MiniMax Text, BailingMoE3, Nanbeige4.2-3B, Pocket TTS, expanded MTP, DFlash, and DSpark coverage, and multi-output backend sampling; media-aware server state, Web UI tools and navigation, stronger tool isolation, automatic iGPU-safe loading, Metal kernel splitting, Vulkan TQ2_0 and Lightning Indexer support, asynchronous RPC APIs, and Apple RDMA transport. Bee keeps adaptive draft-max on DFlash1 while DFlash2 uses its fixed trained block and selector confidence.
  • Optimized native KVarN SWA attention on CPU and CUDA. Fully covered non-SWA windows now use native exact storage, and CUDA routing retains split geometry and device capabilities without model- or GPU-specific policy.
  • Hardened KV and speculative state handling with transactional target/draft restore, selective checkpoint validation, KVarN stage ownership and generation tracking, restored bulk-workspace routing, complete DSA+iSWA lifecycle forwarding, head-aligned multi-GPU placement, and correct partial sharded-buffer memset.
  • Fixed MTP multi-ubatch synchronization and extended loop detection to pathological visible output while retaining force-close behavior for hidden reasoning loops.
  • Updated release packaging to CUDA 13.3, source-built Web UI assets, non-development version metadata, fetched LLVM OpenMP on Windows, and matching HIP runtime DLLs. Release metadata now validates the source version, Windows package checks fail closed on required runtime files, preview and stable concurrency are isolated, and reruns reconcile stale assets.

macOS:

Linux:

Windows:

Docker:

  • CPU: docker pull ghcr.io/anbeeld/beellama.cpp:server-cpu-v0.4.4
  • CUDA: docker pull ghcr.io/anbeeld/beellama.cpp:server-cuda-v0.4.4
  • CUDA 12: docker pull ghcr.io/anbeeld/beellama.cpp:server-cuda12-v0.4.4
  • CUDA 13.3: docker pull ghcr.io/anbeeld/beellama.cpp:server-cuda13-v0.4.4
  • ROCm: docker pull ghcr.io/anbeeld/beellama.cpp:server-rocm-v0.4.4
  • Vulkan: docker pull ghcr.io/anbeeld/beellama.cpp:server-vulkan-v0.4.4
  • SYCL: docker pull ghcr.io/anbeeld/beellama.cpp:server-sycl-v0.4.4

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