Search: “ui”

spec : support DFlash for HunyuanOCR (#28890) model : add DFlash layer-input taps for HunyuanVL DFlash speculative decoding needs the target graph to expose the residual stream entering each layer (re

server: Add support for binding to multiple addresses (#28690) Add support for binding llama-server to multiple addresses Assisted-by: Codex remove redundant thread handler make it clear about overlap

jinja: use const for statement::execute and ::visit (#29271) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/49279983 macOS/iOS: macOS Apple Silicon (arm64)

ggml : IQ1_M build prefix sums once per block (#28706) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/49294443 macOS/iOS: macOS Apple Silicon (arm64) macOS

metal : gate mul_mm_id src1 rescale behind ggml_prec (#29029) metal : gate mul_mm_id src1 rescale behind ggml_prec Assisted-by: Claude Fable 5.1 ggml-webgpu: reject MUL_MAT_ID when src1 precision is F

mtmd: add various sanity checks (#29276) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/49308522 macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon

vulkan: add Intel Xe flash attention optimization kernels (2/3, Xe-LPG Plus/Xe2/Xe3) (#24406) vulkan : Intel FA kernel optimization for split k path vulkan : Host code update for Intel split k FA kern

server: support input_image in function_call_output (#20663) (#22575) server: support input_image in function_call_output (#20663) server: fix if statement spacing server: avoid repeated type lookup W

server: do not pass log file to children (#29212) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/49344105 macOS/iOS: macOS Apple Silicon (arm64) macOS Appl

server: fix router eviction races with the existing queue (#29217) server: route every model load through the queue A model loaded by the fast path has no queue entry, so tick() evicts it at its LOADE

opencl: add bin kernel kernel_gemm_noshuffle_q4_k_q8_1_dp4a_ila_a8_bin (#29056) opencl: add A8 Q4_K non-MoE dp4a binary kernel opencl: rename binary kernel selection helpers Website: https://llama.app

webgpu : add fused gdn + cpy (#28976) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/48873164 macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon (a

metal : fix deprecation warnings from macOS 27 SDK (#29136) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/48890258 macOS/iOS: macOS Apple Silicon (arm64)

cuda : tune MMVQ to MMQ crossover for SM70 (Volta) (#28912) tune MMVQ to MMQ crossover for SM70 (Volta) Signed-off-by: Yangyu Chen cyy@cyyself.name Apply suggestion from @JohannesGaessler Apply sugges

hexagon: overhaul of buffer and DMA handling to support 64bit mappings + improvements (#29197) hex-dma64: enable support extended buffer mappings and 64bit dma hex-dma64: expand binary ops to support

ci : Upgrade CUDA to 13.4 for Ubuntu CUDA Release Builds (#29202) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/48951751 macOS/iOS: macOS Apple Silicon (a

sycl : coalesce MKL-FA softmax loads instead of one work-item per row (#28918) sycl : coalesce MKL-FA softmax loads instead of one work-item per row better human readable variable name Website: https:

json: Fixed json enum handling (#28518) Fixed json enum handling Added common_json_value handling for enum values. Added tests/test-json.cpp to cover testing of some aspects of common_json. Removed te

ggml-metal : simplify fusion pattern op list declaration (#29206) ggml-metal : derive non-empty fusion ops from ops_all Assisted-by: pi:llama.cpp/DeepSeek-V4-Flash-Vision-Exp ggml-metal : drop _all su

tests : remove stale comment (#29140) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/48998612 macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon (a

server : do not forward --api-key-file to router-spawned child instances (#28938) In router mode, authentication belongs to the router. unset_reserved_args() already unset LLAMA_API_KEY, but did not u

args: add env vars for temperature, top-p, min-p and penalties (#27380) Allow configuring --temp, --top-p, --min-p, --repeat-penalty, --presence-penalty and --frequency-penalty via LLAMA_ARG_* so llam

tests/test-backend-ops : allow regex entries in the -o filter (#29204) tests/test-backend-ops : allow regex entries in the -o filter so far -o only accepted a comma separated list of exact op names or

test-llama-archs : make tensor data stdev configurable and improve help (#29133) test-llama-archs : make tensor data stdev configurable Assisted-by: pi:llama.cpp/DeepSeek-V4-Flash-Vision-Exp test-llam

cuda: fix sm_70 tile compilation error (#29224) The 5-argument load_ldmatrix added in 1884824 only defines tile<16,8>, so the Volta tile<8,4> does not match. See #29222 for details. Building on 188482

I’m building a personal local coding-agent project called Cody, using local 9B/14B models through Ollama. This is still a work in progress. It has not passed its full graduation process yet, and the l

chat : add dedicated Ling 3.0 (Bailing V3) parser (#28682) chat: add dedicated Ling 3.0 (Bailing V3) parser Ling 3.0 Flash templates pre-open the think block in the generation prompt, so the model nev

metal: add F16 input to the FWHT (#29094) metal: add F16 input to the FWHT The Metal FWHT kernel accepts F32 input only. This change makes the source type a template parameter, so the kernel reads an

fix(mamba) : make time-step projection input contiguous (#28832) mamba : make time-step projection input contiguous Assisted-by: ChatGPT mamba : skip contiguous copy after normalization Assisted-by: C

CUDA: enable sparse fa for qwen4 (#28770) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/48739244 macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silico

common/peg : handle invalid utf-8 sequences in the AST (#29161) common/peg : handle invalid utf-8 sequences in the AST cont : return maximal subpart per Unicode recommendations cont : remove strict ar

metal : support arbitrary hc in dsv4_hc_pre (#29169) the dsv4_hc_pre kernels hardcoded hc = 4 via a constexpr used with simd_shuffle, so the op was rejected by supports_op for any other hc and fell ba

CUDA: tune FA for Gemma 4 on Ampere or newer (#29152) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/48802880 macOS/iOS: macOS Apple Silicon (arm64) macOS

Hi Stable Diffusion People! I recently got into local audio generation but I didn't want to use ComfyUI for it (although I absolutely love it for image generation!) but I started to run out of room on

Obama is pretty accurate here tbh You don’t need RSI or AGI for almost everything we need, few shot learners and cron jobs get you even to breakthroughs Most of the dangerous AI breaking onto the inte

cuda : fix CUB argsort corruption caused by in-place keys (#28389) argsort_f32_i32_cuda_cub called the one-shot DeviceRadixSort::SortPairs API with d_keys_in == d_keys_out (temp_keys, temp_keys). CUB'

metal : support qwen4exp hc ops (#29000) Add support for the new DSV4 HC op variants used by qwen4exp: hc_pre with per-element sigmoid gate (gated variant) hc_post with identity mixing (comb == nullpt

test-llama-archs : generate dummy test vocab (#29084) Assisted-by: pi:llama.cpp/DeepSeek-V4-Flash-Vision-Exp Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations

metal : fix FA support checks (#29122) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/48626162 macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon (

json-schema : accept escaped hyphen in regex patterns (#29127) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/48635641 macOS/iOS: macOS Apple Silicon (arm6

server : improve startup log messages (#29125) server-models : show source per model in log Show [source] tag (preset/models_dir/cache) per model instead of cryptic * marker Show HF hub cache path in

hexagon: enable support for TOP_K op (#29113) hexagon: enable support for TOP_K op hex-topk: thread single-row TOP_K, raise VTCM-based size cap hex-topk: fix TOP_K mdev row partitioning hex-topk: opti

hexagon: add support for GEGLU_QUICK (#29114) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/48660160 macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Si

hexagon: enable I32 GET_ROWS (#29116) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/48662388 macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon (a

Amazon SageMaker AI shipped 13 inference launches in the first half of 2026 across two deployment paths: fully managed endpoints and Amazon SageMaker HyperPod Inference. This post reviews each launch,

vulkan: raise the hoisted row-id limit for mul_mat_id from 256 to 1024 experts (#28501) vulkan: raise the hoisted row-id limit for mul_mat_id to 512 experts The expert-count shader (count_experts.comp