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chore: bump llama.cpp to b10066#21

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chore: bump llama.cpp to b10066#21
github-actions[bot] wants to merge 1 commit into
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automation/bump-llama-cpp

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llama.cpp update

Upstream changelog

Release notes for b10066
Details

opencl: load and use kernel_gemm_moe_q6_k_f32_ns from bin kernel lib (#25797)

Website:

macOS/iOS:

Linux:

Android:

Windows:

openEuler:

  • DISABLED
  • openEuler x86 (310p)
  • openEuler x86 (910b, ACL Graph)
  • openEuler aarch64 (310p)
  • openEuler aarch64 (910b, ACL Graph)

UI:

Commit range

Commits from b9915 to b10066 (first 80)
  • ggml : fix A indexing in simd_gemm scalar tail-column path (#25390) (57b50e1)
  • fix: OOB reads in UGM tokenizer (precompiled_charsmap handling) (#18750) (4a7ee31)
  • metal : add set_rows with src0 f16 (#25434) (0512ef1)
  • llama-eval : fix crash when answer is None in HTML dump (#25435) (da46e59)
  • ui: Context usage gauge and panel (#25340) (f1161b1)
  • common: auto-create prompts-log-dir at argument parsing, so all tools using the flag benefit (#25322) (f296fdf)
  • llama-batch: add n_keep_tail in split_equal for recurrent models (#25278) (230ea9d)
  • server-stream: follow-up on SSE Replay Buffer (#23226) (#25047) (bbebeec)
  • llama: refactor fused ops (#24646) (90e0f5c)
  • cuda : add support for f16->f16 GGML_OP_SET_ROWS (#25367) (ed8c261)
  • Make hip quality check run on all changes (#25403) (07e012a)
  • cli : move to HTTP-based implementation (#24948) (c264f65)
  • hexagon: new vtcm layouts and improved pipelines for MUL_MAT, MUL_MAT_ID and FLASH_ATTN_EXT (#25425) (81ff7ab)
  • vulkan: for small AMD GPUs, reduce submission threshold based on CU count (#25240) (0bbc87b)
  • llama-batch: fix allowed decreasing pos in a seq (#25449) (1ee0939)
  • opencl: ragged-tile MoE prefill FP16 GEMM optimization (skip padded expert tiles) (#25433) (167d057)
  • vulkan: disable FA mask_opt on GCN to improve performance (#24362) (a646006)
  • opencl: Q6_K GEMM/GEMV fix for ne01 of weights that are not multiples of 128. (#25464) (92366df)
  • ggml-webgpu: tune subgroup split (d_split) in flash_attn_vec (#25418) (32e41fa)
  • hexagon: add VISION RoPE support (#25216) (f2d1c2f)
  • server : respect min-step when splitting prompt batches (#25420) (64c8b7d)
  • cuda: align snake fusion matcher with the other backends (#25460) (2021515)
  • ggml-hip: enable -funsafe-math-optimizations (#24668) (ccb0c34)
  • metal : add CONV_2D_DW (depthwise convolution) support (#21565) (92b187c)
  • llama-bench : init params.offline (#25476) (259f2e2)
  • Only index by compile times + always multiply/add (#25445) (683f0c7)
  • Refactor: Consistently use smart pointers in test-backend-ops (#25440) (f84a519)
  • meta: add hard emphasis on agents not writing descriptions/comments (#25480) (c15c5c7)
  • ggml : fix conv 2d dw (#25490) (5c3a586)
  • server : move chat-template thinking probe inside the init try/catch (#24093) (82fce65)
  • hexagon: tiling, tracing and optimizations for unary ops (#25474) (fb30ba9)
  • cli: add --output option (#25484) (3de7dd4)
  • ggml : process data in smaller chunks in CUDA ggml_top_k() and ggml_argsort() to reduce temporary buffers memory usage (#24776) (0749449)
  • opencl: cluster-parallel decode FA for Adreno (#25473) (049326a)
  • llama-batch: add unit test (#25471) (961e4b2)
  • ggml-et: Initial ET backend (#24179) (082b326)
  • llama : make all KQ masks f16 if FA is used, remove zero attention bias, remove raw_k repeats in DeepSeek V4 (#25370) (2ed3c1a)
  • ui: export full message tree instead of active path only (#25501) (d46786f)
  • sync : ggml (#25517) (8f114a9)
  • ui: prevent tooltip from flickering open and closed on hover (#25503) (c7af942)
  • cli: fix crash on wrong server base url (#25497) (1b9691b)
  • server: improve tools, remove apply_diff (#25498) (c4ae9a8)
  • ggml : use ggml_vqtbl1q_u8 for 32-bit compat (whisper/0) (ac17f8a)
  • sync : ggml (0badc06)
  • server: remove loading.html (#25500) (a935fbf)
  • ui: use server modalities in non-router mode (#24874) (9f623c6)
  • feat: pre-select models in the webui using alias (#25492) (07d9378)
  • mtmd: deepseek-ocr v1 multi-tile (#24717) (3e706dd)
  • arg: prevent duplicate spec model downloads (#25527) (22b69b6)
  • hexagon: improve ARGSORT performance for small tensors (#25512) (67776ea)
  • llama : make tensor-split regex patterns static (#24710) (c749cb0)
  • server: accept null sampling params (#25538) (4f37f51)
  • opencl: add int8 dp4 dense and MoE prefill optimization for Adreno GPUs (#25537) (1d1d9a9)
  • Vulkan: route large matmuls to medium tile on Adreno (#24877) (76f2798)
  • ggml : add GGML_OP_LIGHTNING_INDEXER that implements DeepSeek V3.2/V4 lightning indexer (#24231) (00f5442)
  • server: refactor server_stream (#25541) (ea1f7bb)
  • server: allow stream for exec_shell_command (#25526) (c92e806)
  • DeepseekV4: clear cache only for seq rather than full (#25521) (13f2b28)
  • cuda: Don't crash when querying memory on device with no free memory. (#25157) (3cec3bc)
  • gguf : reject empty metadata keys (#24917) (d72bfa3)
  • Fix conditional to display 'LLAMA_SPLIT_MODE_TENSOR not implemented for architecture' message (#24926) (e3546c7)
  • server : fix image blocks in tool_result being dropped during Anthropic OpenAI conversion (#22536) (6b4dc21)
  • server : evict checkpoints within min-step of each other (#25472) (0c4fa7a)
  • mtmd: fix silent prompt truncation on embedded NUL (#25548) (4114ba1)
  • server: Don't consider models with --no-mmproj-auto as multimodal (#25590) (8014d2c)
  • vendor : update cpp-httplib to 0.50.1 (#25576) (3455882)
  • server: honour per-request reasoning_budget_tokens in chat completions (#23116) (99f3dc3)
  • ui: Remove recommended MCP Servers + improve MCP Servers Settings UI/UX (#25535) (38fd5c9)
  • sycl: add Q2_K to DMMV reorder path (#25064) (e474bba)
  • sycl: add fused top-k MoE (#25217) (efb3036)
  • chat : fix reasoning leak with force-opened bare templates (#24674) (91c631b)
  • gguf : add tensor shape accessor (#24405) (ad8d821)
  • tests: Harmonize header use (#25616) (f4253ef)
  • readme : add link to maintainer PRs (#25621) (4193ea6)
  • spec: add Minimax2 eagle3 support (259ae1d)
  • vulkan: Use native e2m1 and e4m3 conversions for mxfp4/nvfp4 (#25338) (e920c52)
  • CUDA: refactor MMQ kernel configuration (#24127) (6eddde0)
  • model: add Hy3 (hy_v3) support with MTP speculative decoding (#25395) (2969d6d)
  • metal : add Q2_0 support (#25419) (14d3ba4)
  • sycl: set fattn_vec_nthreads to 256 for Battlemage (#25205) (c1063ac)

Web bridge review focus

Please pay extra attention to upstream changes touching:

  • WebGPU, WASM, Emscripten, pthreads, or memory64 build behavior
  • ggml backend APIs used by the bridge
  • model loading, tokenizer, chat template, context/state persistence, or cache semantics
  • CMake/build flags that can affect the generated JS/WASM artifacts

Validation

  • Emscripten build passed
  • Browser WebGPU/state-persistence smoke passed
  • Generated bridge artifacts include wasm32 and memory64 outputs
  • No stale hard-coded llama.cpp tag remains in CI/publish defaults

Automation behavior

This PR is managed from the stable branch automation/bump-llama-cpp. If another llama.cpp release appears before merge, the scheduled workflow updates this same PR instead of opening a duplicate. The workflow skips if a non-automation PR already changes llama_cpp.version.

@github-actions
github-actions Bot force-pushed the automation/bump-llama-cpp branch from 092de8a to 3b702ab Compare July 11, 2026 05:56
@github-actions github-actions Bot changed the title chore: bump llama.cpp to b9947 chore: bump llama.cpp to b9957 Jul 11, 2026
@github-actions
github-actions Bot force-pushed the automation/bump-llama-cpp branch from 3b702ab to dfd88ff Compare July 12, 2026 06:15
@github-actions github-actions Bot changed the title chore: bump llama.cpp to b9957 chore: bump llama.cpp to b9969 Jul 12, 2026
@github-actions
github-actions Bot force-pushed the automation/bump-llama-cpp branch from dfd88ff to 872d4ce Compare July 13, 2026 06:35
@github-actions github-actions Bot changed the title chore: bump llama.cpp to b9969 chore: bump llama.cpp to b9982 Jul 13, 2026
@github-actions
github-actions Bot force-pushed the automation/bump-llama-cpp branch from 872d4ce to 46548c0 Compare July 14, 2026 05:45
@github-actions github-actions Bot changed the title chore: bump llama.cpp to b9982 chore: bump llama.cpp to b9994 Jul 14, 2026
@github-actions
github-actions Bot force-pushed the automation/bump-llama-cpp branch from 46548c0 to 081b71d Compare July 15, 2026 05:46
@github-actions github-actions Bot changed the title chore: bump llama.cpp to b9994 chore: bump llama.cpp to b10015 Jul 15, 2026
@github-actions
github-actions Bot force-pushed the automation/bump-llama-cpp branch from 081b71d to 12e59e3 Compare July 16, 2026 05:59
@github-actions github-actions Bot changed the title chore: bump llama.cpp to b10015 chore: bump llama.cpp to b10036 Jul 16, 2026
@github-actions github-actions Bot changed the title chore: bump llama.cpp to b10036 chore: bump llama.cpp to b10054 Jul 17, 2026
@github-actions
github-actions Bot force-pushed the automation/bump-llama-cpp branch from 12e59e3 to 39e01ba Compare July 17, 2026 05:58
@github-actions github-actions Bot changed the title chore: bump llama.cpp to b10054 chore: bump llama.cpp to b10066 Jul 18, 2026
@github-actions
github-actions Bot force-pushed the automation/bump-llama-cpp branch from 39e01ba to f0ea1d3 Compare July 18, 2026 05:38
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