github
GitHub APIExtracts: repo, release, stars delta · metadata or bounded excerpt
Retention: D1 event history with canonical source link and deduplication metadata.
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Last ingested: 2026-08-25 · run status: success with data
- 2026-07-13ggerganov/llama.cpp b9993: b9993
<details open> model: add Hy3 (hy_v3) support with MTP speculative decoding (#25395) * model: add Hy3 (hy_v3) architecture support Adds Tencent Hunyuan 3 (HF architecture HYV3ForCausalLM, GGUF arch hy_v3): a MoE decoder stack with per-head Q/K RMSNorm, a sigmoid router with ex
github:ggerganov/llama.cpp - 2026-07-13ggerganov/llama.cpp b9992: b9992
<details open> CUDA: refactor MMQ kernel configuration (#24127) * CUDA: refactor MMQ kernel configuration * fix Blackwell config * remove legacy code </details> **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b9992/llam
github:ggerganov/llama.cpp - 2026-07-13ggerganov/llama.cpp b9990: b9990
<details open> spec: add Minimax2 eagle3 support * Fix nullptr in minimax2 EAGLE3 * minor : add newline --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> </details> **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/
github:ggerganov/llama.cpp - 2026-07-13NVIDIA/cutlass v4.6.0: CUTLASS 4.6.0
* Release [documentation](https://docs.nvidia.com/cutlass/latest/media/docs/cpp/gemm_performance_measurement_methodology_guidelines.md) that explains how to accurately profiling GEMM performance. ### CuTe DSL * New features - New fine-grained compilation API: cute.compile_
NVDAgithub:NVIDIA/cutlass - 2026-07-13ggerganov/llama.cpp b9988: b9988
<details open> tests: Harmonize header use (#25616) * tests: Harmonize the use of private ggml includes * tests: In test-backend-ops, use quoted includes As with all other tests. This is to ensure that the build uses shipped headers over possibly system-installed ones. </det
github:ggerganov/llama.cpp - 2026-07-13ggerganov/llama.cpp b9987: b9987
<details open> gguf : add tensor shape accessor (#24405) * gguf : add tensor shape accessors * gguf : return tensor shape as const int64_t * * gguf : remove n_dims accessor, keep only gguf_get_tensor_ne </details> **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://githu
github:ggerganov/llama.cpp - 2026-07-13ggerganov/llama.cpp b9986: b9986
<details open> chat : fix reasoning leak with force-opened bare <think> templates (#24674) * chat : fix reasoning leak with force-opened bare <think> templates The reasoning start tag inferred from prior turns can carry trailing whitespace (e.g. <think>\n) while a force-open t
github:ggerganov/llama.cpp - 2026-07-13ggerganov/llama.cpp b9985: b9985
<details open> sycl: add fused top-k MoE (#25217) * sycl: add fused top-k MoE * sycl: address review: GGML_SYCL_ENABLE_FUSION env, move fusion dispatch to topk-moe * sycl: print GGML_SYCL_ENABLE_FUSION at startup like other env vars Co-Authored-By: Claude Fable 5 <noreply@an
github:ggerganov/llama.cpp - 2026-07-13ggerganov/llama.cpp b9984: b9984
<details open> sycl: add Q2_K to DMMV reorder path (#25064) Signed-off-by: Todd Malsbary <todd.malsbary@intel.com> </details> **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b9984/llama-b9984-bin-macos-arm64.tar.gz) - mac
github:ggerganov/llama.cpp - 2026-07-13ggerganov/llama.cpp b9982: b9982
<details open> server: honour per-request reasoning_budget_tokens in chat completions (#23116) * server: honour per-request reasoning_budget_tokens in chat completions The reasoning-budget block in oaicompat_chat_params_parse read only the server-level default (opt.reasoning_b
github:ggerganov/llama.cpp - 2026-07-13ggerganov/llama.cpp b9981: b9981
<details open> vendor : update cpp-httplib to 0.50.1 (#25576) </details> **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b9981/llama-b9981-bin-macos-arm64.tar.gz) - macOS Apple Silicon (arm64, KleidiAI enabled) [DISABLED](
github:ggerganov/llama.cpp - 2026-07-13ggerganov/llama.cpp b9980: b9980
<details open> server: Don't consider models with --no-mmproj-auto as multimodal (#25590) If mmproj is explicitly disabled via the model preset or command-line parameters then the model won't be able to handle image/audio inputs and this shouldn't be declared as supported input
github:ggerganov/llama.cpp