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vulkan: fix missing view-alias dependencies in ggml_vk_graph_optimize (#27812) vulkan: fix missing view-alias dependencies in ggml_vk_graph_optimize is_src_of doesn't treat two views of one tensor as

bench: add --tensor-read-lazy (#27881) bench: add --tensor-read-lazy rm the alias rename to LLAMA_LAZY_MODE_* Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestation

Hey guys, FastVideo team here. We saw how important speed and quality is for everyone. And we've been working to create our own step distill checkpoints and LORAs for MINIMAX h3. Here's is our v1 rele

hexagon: support for multi-NPU devices (IQ9, IQ10) and fully asynchronous backend (#26501) hexagon: use non-host bufs by default and make the backend fully async hex-hb: remove optional hostbuf suppor

models : support nanbeige4.2-3B (#27730) Co-authored-by: admin lizongqiang@kanzhun.com Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/43308396 macOS/iOS: m

llama : add --n-cpu-ffn option (#26622) common : dedupe --n-cpu-moe / --spec-draft-n-cpu-moe override loops common : add --n-cpu-ffn to CPU-offload dense FFN weights of first N layers common : general

args: add --video-* CLI arguments (#24318) args: add --video-* CLI arguments gen docs nits add mtmd_helper_init_opt Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attes

model : simplify MiniMax-01 graph (#27790) Co-authored-by: Stanisław Szymczyk sszymczy@gmail.com Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/43387702 ma

spec: Add benchmark-only synthetic speculative acceptance options (#27711) Add benchmark-only synthetic speculative acceptance to llama-server and llama-cli Address review comments Address review comm

llama: model_loader: add TENSOR_READ_LAZY (#27794) llama: model_loader: add TENSOR_GET_ROW_LAZY add --tensor-read-lazy rename to TENSOR_READ_LAZY gen docs address comments Website: https://llama.app A

Feature: Added LIGHTNING_INDEXER support for Deepseek V4 ops on Vulkan Backend (#27453) vulkan: add LIGHTNING_INDEXER op vulkan: updated lightning_indexer.comp and ggml-vulkan.cpp with 128-lane dot-pr

quantize: cap working memory size to avoid loading big tensors onto RAM (#27795) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/43468853 macOS/iOS: macOS A

opencl: add bin kernels kernel_gemm_moe_q4_0_q8_1_dp4a_bin, kernel_gemm_moe_mxfp4_q8_1_dp4a_bin (#27768) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/434

spec : add DFlash2 support (local convolution + candidate selector) (#27342) (#27816) spec : add DFlash2 support (local convolution + candidate selector) (#27342) support DFlash2 Add p_min in DFlash2

ci : bundle HIP runtime DLLs with Windows ROCm release (#26973) Copy amdhip64_7, amd_comgr and rocm_kpack next to the binaries so the correct HIP runtime loads over the driver's copy in System32. Fixe

model: add Qwen3.8-Flash-Next (qwen4exp) (#27742) gguf: add qwen4exp (Qwen3.8-Flash-Next) arch and converter Adds the GGUF-side plumbing for HF model_type qwen4_exp: MODEL_ARCH.QWEN4EXP plus tensors f

server: add ctx-per-slot (--kv-unified-per-slot) (#24124) Add ctx-per-slot argument for unifid KV cache Swap out ctx fractions for ctx pool slots Formatting cleanup Remove ctx-pool-slots, make ctx-per

hex-unary: fix RMS_NORM_MUL weight-offset bugs for grouped/broadcast norms (#27798) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/43526462 macOS/iOS: macO

ggml-hexagon: add HTP unary ops for ABS and LOG (#27786) Add HVX-accelerated implementations for GGML_OP_LOG and GGML_UNARY_OP_ABS on the HTP backend. Register HTP_OP_UNARY_ABS and HTP_OP_UNARY_LOG in

Got the new Qwen3.8-Flash-Next (176B total, 6B active MoE) running locally and figured I'd share for anyone else wondering if their setup can handle it. **My hardware:** 192GB DDR5 RAM, RTX 5070 Ti (1

arXiv:2608.25523v1 Announce Type: new Abstract: Prefix caching introduces a fundamental tradeoff in multi-agent large language model (LLM) serving: retaining a long system-prompt key-value (KV) cache

ggml-metal: add chunked SSD MMA for Mamba-2 prefill optimization (#26647) metal: WIP chunked SSD SSM_SCAN kernels for multi-token prefill metal: drop scalar SSD path; MMA + sequential tail drop WIP ss

cuda: unblock mmq for MoE on sm_60 (#26264) cuda: unblock mmq for MoE on sm_60 cuda: duplicate mmq-config-pascal for dp4a and older cuda: reduce occupancy on non-dp4a pascal for Q2_K, Q4_K, Q5_K, Q6_K

ci: Clean up UI builds from releases (#27706) ci : inline UI version resolution into ui-build.yml ci : build UI once and reuse the artifact in release jobs Server jobs now extract the ui-build artifac

vulkan: warptiles currently assume warp sizes <= 64, clamp to work around larger warps (#27726) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/43173045 mac

llama: add token ID tracking to KV cell (#27762) kv: track token id rm get_prev_tokens, move it to the main pr nits add get_prev_tokens Website: https://llama.app Attestations: https://github.com/ggml

grammar : parse - in char classes as literal hyphen (#27591) grammar : accept '-' escape in character classes gbnf_escape_char_class() escapes '-' as '-' but parse_char() rejected that escape, so gene

llama.cpp : bump version to 0.3.0 (#27696) llama.cpp : bump version to 0.3.0 ci : update release default desc scripts : add prompt for generating release summary Website: https://llama.app Attestation

metal : null-check buffer alloc to fix OOM crash (#25371) metal : null-check ggml_metal_buffer_init result to avoid OOM crash ggml_backend_metal_buffer_type_alloc_buffer used the result of ggml_metal_

ci : update OS used for ROCM to Ubuntu 24.04 (#27681) This matches what other build targets use and also what AMD advertises wheels as supporting. Website: https://llama.app Attestations: https://gith

kleidiai: Rework KleidiAI Build System/Integration (#26077) Rework KleidiAI Build System/Integration Signed-off-by: Jonathan Clohessy Jonathan.Clohessy@arm.com Add fp16 guard, and fix cmake caching is

arXiv:2503.18484v3 Announce Type: replace-cross Abstract: Evaluating the multilingual capabilities of Large Vision-Language Models (LVLMs) remains challenging because most benchmarks rely on non-paral

I made a Discord for people who are genuinely into AI and want a decent place to talk about it. It’s still new, but the idea is to build a large community without arbitrary bans, hidden moderation dec

Deepseek 4: -sm tensor (#26490) DSV4: sm tensor set coarser granularity for head splits fix dspark add model saving for dsv4 + allow dflash to return on specific device add comment about dsv4 seq_rm s

mamba2 : Flatten in/out projections to dispatch GEMM instead of GEMV (#27513) mamba2 : flatten mamba2 in/out projections to dispatch gemm instead of gemv mamba2 : remove redundant output reshape Websi

mtmd: video: fix moov atom at the end of file (#27596) mtmd: video: fix moov at the end of file Co-authored-by: rkfg rkfg@rkfg.me fix SIGPIPE windows: handle broken pipe case Co-authored-by: rkfg rkfg

ggml : shorten virtual device naming in CUDA and Metal (#27608) ggml : shorten virtual device naming in CUDA and Metal Assisted-by: llama.cpp:DeepSeek-V4-Flash-0731 ggml-metal : build device descripti

tests : disable DOTS3NOTE arch test for WebGPU (#27654) Co-authored-by: Stanisław Szymczyk sszymczy@gmail.com Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestation

metal: per-op source split + parallel compile (#26561) metal : per-op source split + parallel compile (#24021) preliminary extract common header op source split split metallib into 8 libs && load in p

metal : per-device tuned (Q, NE) for flash-attn vec (#26570) metal : per-device tuned (Q, NE) for flash-attn vec (#25750) rebase Q-generic FA vec body from 01dc936 (#23114) add 53 f16 (Q,NE) flash-att

cuda : add POOL_1D support (#27573) cuda : add POOL_1D support fix: add missing trailing newline for editorconfig compliance Website: https://llama.app Attestations: https://github.com/ggml-org/llama.

DeepseekV4: fix rollback with multi-seq (#26756) DeepseekV4: fix rollback with multi-seq fix model loading make pending rollback single use only clear cache for seq_id for full load add assert for com

common : skip device_info loop if it's not going to be printed (#26692) The device_info loop iterates over the discovered devices and gets the available and total memory counts. With the CUDA backend

mtmd: use pillow-accurate algo, correct resize_algo for all models (#27594) mtmd: use pillow-accurate resize algo, correct resize_algo for all models speed optimization Website: https://llama.app Atte

model: add dots3-note (#27060) text: conversion init impl address review comments fix rope move to a new llama_kv_cache_dsa_iswa Website: https://llama.app Attestations: https://github.com/ggml-org/ll

sycl : add Q2_K reordered MMVQ and ESIMD kernels (again) (#27490) Revert 'Revert 'sycl : add Q2_K reordered MMVQ and ESIMD kernels (#26336)' (#…' This reverts commit 7a0e42f. add gate params Website: