9433 Commits

Author SHA1 Message Date
Georgi Gerganov 2d9b7c8e98 metal : restore im2col implementation for large kernels (#23901) b9433 2026-05-30 15:26:13 +03:00
Xuan-Son Nguyen e674b1279b test: (test-llama-archs) log the config name first (#23885) b9432 2026-05-30 12:22:38 +02:00
Georgi Gerganov 4c4e91b799 ci : update ios-xcode release job to macos-26 (#23906)
* ci : disable libcommon build from xcframework

* ocd : fix name

* ci : ios-xcode change to macos-26

* cont : pin xcode

* cont : pin xcode to minor version
b9431
2026-05-30 13:21:46 +03:00
Jinyang He d48a56effb ggml : add some lsx support (#23798)
* loongarch : optimize LSX fp16 load/store with native intrinsics

Use __lsx_vfcvtl_s_h and __lsx_vfcvt_h_s instead of scalar loops in
__lsx_f16x4_load and __lsx_f16x4_store.

* loongarch : add LSX implementation for q8_0 dot product

* loongarch : add LSX implementation for q6_K dot product

* loongarch : add LSX implementation for iq4_xs dot product

* Improve reduce ops when sun int16 pairs to int32
b9430
2026-05-30 11:53:26 +03:00
Ruben Ortlam 6e093b80ea vulkan: add Flash Attention support for BFloat16 KV cache (#23420)
* vulkan: add flash attention bf16 kv support

* vulkan: bf16 FA coopmat1 support

* vulkan: bf16 FA coopmat2 support

* fix FA bf16 f32 fallback

* fix FA bf16 coopmat1 shader

* fix FA bf16 coopmat2 shader

* code cleanup

* cleanup comment change

* address feedback

* add O_TYPE for cm2 FA

* use O_TYPE for gqaStore function

* reduce BFLOAT16 ifdefs
2026-05-30 10:39:31 +02:00
Georgi Gerganov 337528571d ci : fix s390x release job (#23898)
* ci : fix s390x release job

* ci : multi-thread build for `ios-xcode`

* ocd : names
b9428
2026-05-30 09:21:38 +03:00
Georgi Gerganov d4204b03a5 ci : clear cache instead of "no timestamp" keys + fix macos (#23895)
* ci : ios use macos-15 again

* ci : add and test ccache-clear

* cont : fix

* cont : set permission

* cont : another permission

* cont : token

* cont : print key

* cont : bring back perms

* cont : test windows

* cont : add token

* cont : cleanup

* ci : make release jobs clean-up their ccache
2026-05-30 08:52:30 +03:00
Radoslav Gerganov 1738129bee llama : do not skip iGPU when only RPC devices are present (#23868)
After #23007 reclassified integrated CUDA/HIP devices as IGPU, the device
selection logic dropped the local iGPU whenever any RPC server was added,
because RPC devices made `model->devices` non-empty. On systems where the
"iGPU" is the main compute device (e.g. Strix Halo with 128 GiB of unified
memory), this caused all tensors to be allocated on the RPC peer alone and
model loading to fail.

Gate the iGPU inclusion on `gpus.empty()` instead, so RPC peers no longer
suppress the local iGPU.

closes: #23858
b9426
2026-05-30 07:48:22 +03:00
Xuan-Son Nguyen 0821c5fcfd server: in SSE mode, send HTTP headers when slot starts (#23884)
* server: in SSE mode, send HTTP headers when slot starts

* ref to pr

* stream should be false by default
2026-05-30 00:06:29 +02:00
Reese Levine 151f3a98e9 ggml-webgpu: Check earlier for WebGPU required features (#23879) 2026-05-29 14:16:05 -07:00
Reese Levine b22da25889 ggml-webgpu: add q4_0/q8_0 SET_ROWS (#23760)
* Add q8_0 and q4_0 set_rows

* Add fast(er) quantization set_rows path

* formatting/naming

* a little more naming

* Remove unused constant

* Don't override other override

* Avoid bitcast

* Narrow relaxation
2026-05-29 14:14:11 -07:00
Ruixiang Wang 689a9a470e server-bench : add speed-bench for speculative decoding benchmarking (#23869)
* spec: add speed-bench support for benchmarking

* speed-bench : add trailing newline to requirements.txt

* speed-bench : bump datasets to 4.8.0 to fix ty check

* server-bench : remove now-unused type: ignore after datasets bump
2026-05-29 23:09:47 +02:00
Pascal 5a46b46acd app: add llama update self updater (#23865)
* wip: llama update POC

* cleaning: llama update

* llama-gen-docs

* app: delegate llama update to the install script

* app: spawn the installer detached so llama update can replace a running binary

* cleaning: inline llama update into llama.cpp, drop app-update.{cpp,h}

* app: make llama_update static

Address review from @angt
2026-05-29 23:02:40 +02:00
ValdikSS 22d66b567e ui: handle audio/vnd.wave as audio WAV file (#23754)
Firefox on Linux uses this MIME type
2026-05-29 21:41:35 +02:00
Tarek Dakhran 2084434e66 vocab : support tokenizer for LFM2.5-8B-A1B (#23826)
* vocab: Support tokenizer for LFM2.5-8B-A1B

* Keep liquid6 tokenizer in models
2026-05-29 20:25:43 +02:00
Sigbjørn Skjæret 764f1e64a1 graph : ensure DS32 kq_mask_lid is F32 (#23864) 2026-05-29 19:55:14 +02:00
Xuan-Son Nguyen b5f52280fb server: remove obsolete scripts (#23870) 2026-05-29 19:47:30 +02:00
Georgi Gerganov dc71236b6c ci : update macos release to use macos-26 runner (#23878) 2026-05-29 20:41:57 +03:00
Xuan-Son Nguyen 06d26dfdff download: add option to skip_download (#23059)
* download: add option to skip_download

* fix

* fix 2

* if file doesn't exist, respect skip_download flag
b9415
2026-05-29 16:30:55 +02:00
Saba Fallah da3f990a47 mtmd: Add DeepSeekOCR 2 Support (#20975)
* mtmd: DeepSeek-OCR 2 support, with multi-tile dynamic resolution

* introduced clip_image_f32::add_viewsep

* address PR review

- drop redundant ggml_cpy ops in both deepseekocr versions build
- drop no-op ggml_cont in build_sam
- assert num_image_tokens deepseekocr2
- view_seperator as (1, n_embd) at conversion (for both versions)
- drop redundant ggml_reshape_2d

* Update tools/mtmd/models/deepseekocr2.cpp

Co-authored-by: Xuan-Son Nguyen <thichthat@gmail.com>

---------

Co-authored-by: Xuan-Son Nguyen <thichthat@gmail.com>
b9414
2026-05-29 16:13:51 +02:00
Oliver Simons 6ed481eea4 CUDA: Check PTX version on host side to guard PDL dispatch (#23530)
* CUDA: Check PTX version on host side to guard PDL dispatch

Checking on `__CUDA_ARCH_LIST__` alone is insufficient for JIT, as this
variable doesn't differentiate between compiling for say sm_90, sm_90a
or sm_90f (so forward-jittable PTX vs. arch/family-specific PTX).

Thus, one can have a bug when compiling with
`DCMAKE_CUDA_ARCHITECTURES="89;90a"`, where current code would wrongly
dispatch to PDL on sm_90/sm_120 in forward-JIT mode.

This PR fixes this issue by checking `cudaFuncAttributes::ptxVersion` of
the incoming kernel at runtime. A check on ptxVersion alone is
sufficient, as device-codes will always be >= ptxVersion (and any
violation of this would be a severe bug in CUDA/nvcc), see:
 https://docs.nvidia.com/cuda/cuda-compiler-driver-nvcc/#gpu-code-code-code

* Implement MurmurHash3 mixer for better hash distribution

Magic constants were taken from boost:
https://github.com/boostorg/container_hash/blob/2698b43803c012601e6bb1a6116e83767b97986c/include/boost/container_hash/detail/hash_mix.hpp#L19-L65

* Update ggml/src/ggml-cuda/common.cuh

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>

* Address review comments, make seed non-zero

* Apply code-formatting

* Replace std::size_t -> size_t for consistency

---------

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
b9413
2026-05-29 12:28:18 +02:00
Xuan-Son Nguyen cb47092b00 server: bump timeout to 3600s (#23842)
* server: bump timeout to 3600s

* nits: change wording
b9412
2026-05-29 10:23:17 +02:00
fairydreaming 1f0aa2a696 model : support for DeepseekV32ForCausalLM with generic DeepSeek Sparse Attention (DSA) implementation (#23346)
* llama : support DeepSeek V3.2 model family (with DSA lightning indexer)

* convert : handle DeepseekV32ForCausalLM architecture

* ggml : support for f16 GGML_OP_FILL

* memory : separate hparams argument in llama_kv_cache constructor

* memory : add llama_kv_cache_dsa memory (KV cache + lightning indexer cache)

* llama : support for LLM_ARCH_DEEPSEEK32

* model : llama_model_deepseek32 implementation

* model : merge two scale operations into one in DSA lightning indexer implementation

* chore : remove unused code

* model : support NVFP4 in DeepSeek V3.2

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>

* memory : refactoring TODO

Co-authored-by: ggerganov <ggerganov@users.noreply.github.com>

---------

Co-authored-by: Stanisław Szymczyk <sszymczy@gmail.com>
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
Co-authored-by: ggerganov <ggerganov@users.noreply.github.com>
b9411
2026-05-29 10:15:17 +02:00
Aman Gupta 031ddb2e08 llama: use f16 mask for FA to save VRAM (#23764)
* llama: use f16 mask for FA

* review: add llama_cast + formatting

* simplify
b9410
2026-05-29 15:44:43 +08:00
Georgi Gerganov fe12e422ad sync : ggml b9409 2026-05-29 09:56:08 +03:00
Georgi Gerganov ea02bc37f5 ggml : bump version to 0.13.1 (ggml/1523) 2026-05-29 09:56:08 +03:00
Omid Azizi b000431a0b ngram-mod : Add missing include (#23857)
[no release]

Signed-off-by: Omid Azizi <oazizi@gimletlabs.ai>
2026-05-29 09:21:37 +03:00
Aman Gupta eef59a7642 llama: add llm_graph_input_mtp (#23643)
* llama: add llm_graph_input_mtp

* rename input_mtp -> input_token_embd

* add TODO about mtmd embedding

* cont : clean-up

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
b9406
2026-05-29 09:17:32 +03:00
Adrien Gallouët 98e480a32e app : move licences to llama-app (#23824)
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
b9405
2026-05-29 07:46:11 +02:00
Andreas Kieslinger 241cbd41d2 cuda : disables launch_fattn PDL enrollment due to compiler bug (#23825) b9404 2026-05-29 07:46:10 +03:00
Matt Corallo 33c718db1f meta : Add missing buffer set in allreduce fallback !COMPUTE clear (#23480)
Without this at least the vulkan backend will skip the `* 0` for
!COMPUTE tensors, causing corrupt output.
b9403
2026-05-29 06:30:24 +03:00
Max Krasnyansky 19e92c33ef hexagon: basic/generic op fusion support and RMS_NORM+MUL fusion (#23835)
Updating infra to enable op fusion and using RMS_NORM+MUL as the use-case.
b9402
2026-05-28 14:05:54 -07:00
Xuan-Son Nguyen 751ebd17a5 mtmd-debug: add color and rainbow mode (#23829)
* mtmd-debug: add color and rainbow mode

* fix M_PI

* max_dist
b9401
2026-05-28 20:59:14 +02:00
Xuan-Son Nguyen c8914ad4f4 mtmd: fix gemma 4 projector pre_norm (#23822) b9400 2026-05-28 20:58:55 +02:00
lhez 408ae2b9e5 opencl: move backend info printing into its own function (#23702)
* opencl: move backend info print into its own function

* opencl: move new log line

* opencl: fix for non adreno path
b9399
2026-05-28 11:05:42 -07:00
Sigbjørn Skjæret 3ef2369551 ci : run ui publish on ubuntu-slim (#23818)
* run ui publish on self-hosted fast

* run on ubuntu-slim
2026-05-28 20:58:32 +03:00
ValdikSS 2f6c815dc4 ui: fix audio and video modality detection (#23756)
When model props are fetched asynchronously from the server,
modelPropsVersion is incremented to trigger reactivity, but
only the vision effect was listening to it.
2026-05-28 17:36:10 +02:00
Georgi Gerganov 445b7cef62 ci : releases use Github-hosted builds for the UI (#23823)
* ci : releases use Github-hosted builds for the UI

* cont : fix name
2026-05-28 17:50:32 +03:00
Adrien Gallouët 479a9a1b03 app : improve help output (#23805)
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
b9395
2026-05-28 16:45:06 +02:00
Saba Fallah 0b56d283bf mtmd: n_head_kv defaults to n_head (#23782)
removed AI-generated comment
b9394
2026-05-28 16:44:36 +02:00
Xuan-Son Nguyen d6be3158e1 mtmd: fix gemma 4 audio rms norm eps (#23815)
* mtmd: fix gemma 4 audio rms norm eps

* Update tools/mtmd/clip.cpp

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>

---------

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
b9393
2026-05-28 16:31:37 +02:00
Georgi Gerganov dd1557907a ci : change Vulkan builds to Release to reduce ccache (#23820)
* ci : disable all CPU variant builds for Vulkan workflow

* cont : change cache key

* cont : change build type
2026-05-28 17:29:11 +03:00
Mikolaj Kucharski 7fb1e70b59 arg: Add LLAMA_ARG_API_KEY_FILE environment variable for --api-key-file (#23167) b9391 2026-05-28 16:25:40 +02:00
Johannes Gäßler d374e71e55 test-llama-archs: fix table format [no release] (#23810) 2026-05-28 15:53:54 +02:00
fl0rianr 30af6e2b98 ggml: auto apply iGPU flag CUDA/HIP if integrated device (#23007) b9389 2026-05-28 15:01:14 +02:00
redfox d7be46189f mmvq Optim: add MMVQ_PARAMETERS_TURING(mmvq_parameter_table_id) for … (#23729)
* mmvq Optim:  add MMVQ_PARAMETERS_TURING(mmvq_parameter_table_id) for SM75 TURING

* avoid a mismatch for JIT compilation of Turing device code for Ampere or newer

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>

---------

Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
b9388
2026-05-28 14:51:14 +02:00
Jaden_Mach bc81d47aba CUDA: route batch>=4 quantized matmul to MMQ on AMD MFMA hardware (#23227)
* CUDA: per-quant MMVQ/MMQ batch threshold on AMD MFMA hardware

The dispatcher uses a single global threshold (MMVQ_MAX_BATCH_SIZE = 8)
to choose between mul_mat_vec_q (per-row GEMV) and mul_mat_q (MFMA-tiled
GEMM) for quantized matmul. On AMD CDNA, the optimal crossover differs
substantially by quant family because the per-row GEMV cost is dominated
by dequantisation, not the dot-product itself: K-quants pay a heavier
super-block decode and so MMQ wins sooner; legacy and IQ quants have
lean decode and stay ahead until the batch fully populates an MFMA tile.

This patch introduces ggml_cuda_should_use_mmvq(type, cc, ne11) -> bool,
mirroring the existing ggml_cuda_should_use_mmq, and gates per-quant
thresholds on amd_mfma_available(cc):

  Q3_K, Q4_K, Q5_K  : MMVQ <= 3   (MMQ wins from batch=4: +5% .. +76%)
  Q2_K, Q6_K        : MMVQ <= 5   (MMQ wins from batch=6: +8% .. +35%)
  others            : MMVQ <= 8   (legacy & IQ regress under MMQ; unchanged)

Non-AMD-MFMA paths (NVIDIA, RDNA, CDNA1 without MFMA) are byte-identical
to master. GGML_CUDA_FORCE_MMVQ=1 restores the original global threshold
for A/B testing.

Measured on MI250X (gfx90a, ROCm 7.2.1) with Llama-3.2-3B-Instruct,
llama-bench pp512 across all 20 supported quants, ubatch 1..8, 10 reps.
Full table in PR description.

  Selected pp512 throughput (tok/s, ub=8):
    Q4_K_S:  559 -> 940  (+68%)
    Q5_K_S:  503 -> 884  (+76%)
    Q3_K_S:  629 -> 879  (+40%)
    Q2_K  :  615 -> 809  (+32%)
    Q6_K  :  582 -> 776  (+33%)

  Selected pp512 throughput (tok/s, ub=4):
    Q4_K_S:  444 -> 480  (+ 8%)
    Q4_0  :  682 -> 685  (+ 0%)   (no regression - retains MMVQ)
    IQ4_XS:  706 -> 698  (- 1%)   (no regression - retains MMVQ)

* CUDA: address review — inline MMVQ batch table, drop env hatch & doc block

* tune kernel selection logic for CDNA1

---------

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
b9387
2026-05-28 14:50:25 +02:00
Funtowicz Morgan 0b246862b9 server: minor tweaks to use more cpp features (#23785)
* misc(server): add default port to impl RAII

* misc(server): register_gcp_compat() can be const

* misc(server): use proper cpp const/auto methods

* misc(server): do not reset a unique_ptr, use make_unique instead to be exception safe
b9386
2026-05-28 14:00:25 +02:00
Max Krasnyansky a919001134 hexagon: minor refresh for HMX FA and MM (#23796)
* hex-fa: clean up qf32/fp32 handling and stride handling

* hex-fa: fix corner case fp NAN issues that were cause bad output from gemma4 on v79

* hex-fa: vectorize leftover handling

* hex-fa: avoid HVX fallback during token gen HMX has more FP16 compute capacity

* hmx-mm: remove dead code

* hmx-mm: use fastdiv in x4x2 dequant

* hmx-mm: sandwich dequant and scatter to improve perf

* hmx-mm: fixed rebase conflicts

* hmx-mm: further improve weight dequant by doing early type dispatch and precomputing fastdiv

* hmx-mm: an even earlier dispatch for per-type dequant

* hmx-mm: dequant linear types like q4_0 and q4_1 without the LUTs

This is a bit faster than LUT.

* hex-cmake: one more tweak for lto

---------

Co-authored-by: Trivikram Reddy <tamarnat@qti.qualcomm.com>
2026-05-28 04:49:11 -07:00
Jeff Bolz 48e7078ee0 vulkan: fast path for walsh-hadamard transform (#23687)
* vulkan: fast path for walsh-hadamard transform

* disable for intel due to segfault
b9384
2026-05-28 13:18:43 +02:00