Commit Graph

13682 Commits

Author SHA1 Message Date
Concedo 14b7da5e44 allow reversing the reference image 2026-05-31 23:08:58 +08:00
Concedo fcceb68f3f allow fallback plan with LLM 2026-05-31 17:22:42 +08:00
Concedo e9d670e203 solve some warnings v1.114.1 2026-05-31 15:10:48 +08:00
Wagner Bruna 2f100fe3d1 sd: sync to master-660-d2797b8 (#2241)
* sd: sync to master-659-d3b2cb0

* sd: sync to master-660-d2797b8
2026-05-31 14:04:25 +08:00
Concedo f90d9240f1 fixed auto gpu selection issues 2026-05-31 14:00:46 +08:00
Concedo c1b817032e Merge branch 'upstream' into concedo_experimental
# Conflicts:
#	.github/workflows/build-cuda-windows.yml
#	.github/workflows/release.yml
#	app/llama.cpp
#	build-xcframework.sh
#	docs/speculative.md
#	ggml/src/ggml-opencl/ggml-opencl.cpp
#	ggml/src/ggml-opencl/kernels/cvt.cl
#	ggml/src/ggml-webgpu/ggml-webgpu-shader-lib.hpp
#	ggml/src/ggml-webgpu/ggml-webgpu.cpp
#	ggml/src/ggml-webgpu/wgsl-shaders/set_rows.wgsl
#	requirements/requirements-server-bench.txt
#	scripts/server-bench.py
#	tests/test-backend-ops.cpp
#	tests/test-llama-archs.cpp
#	tools/cli/README.md
#	tools/completion/README.md
#	tools/server/README.md
2026-05-31 02:06:39 +08:00
Concedo 478e64e549 update sdui 2026-05-31 02:00:52 +08:00
Concedo 4cd3888e9b increase frame limit 2026-05-31 01:30:43 +08:00
Concedo cc9490d9b0 default embed max ctx to 4096 2026-05-31 01:23:54 +08:00
lhez d6588daa80 opencl: support bf16 by converting to f16 (#23839) 2026-05-30 10:17:47 -07:00
Concedo 5a4a3a34cb allow setting backend automatically even if model is unset but sdmodel is set 2026-05-31 00:54:59 +08:00
Concedo 3361ef801c video vae tiling fix 2026-05-30 22:59:15 +08:00
Pascal d38d50e7ff ui: exclude generated build dirs from prettier and eslint so lint errors stop being masked (#23910) 2026-05-30 16:50:54 +02:00
Johannes Gäßler 8b0e0db606 TP: fix granularity for Qwen 3.5/3.6 + 3 GPUs (#23843)
* TP: fix granularity for Qwen 3.5/3.6 + 3 GPUs

* fix afmoe TP
2026-05-30 16:48:00 +03:00
Georgi Gerganov 2d9b7c8e98 metal : restore im2col implementation for large kernels (#23901) 2026-05-30 15:26:13 +03:00
Xuan-Son Nguyen e674b1279b test: (test-llama-archs) log the config name first (#23885) 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
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
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
Concedo d4b513c19d mmap fix from https://github.com/leejet/stable-diffusion.cpp/pull/1575 v1.114 2026-05-30 16:12:34 +08:00
Georgi Gerganov 337528571d ci : fix s390x release job (#23898)
* ci : fix s390x release job

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

* ocd : names
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
Concedo 33c539b452 updated sdui (+1 squashed commits)
Squashed commits:

[cc8266119] updated sdui
2026-05-30 12:48:38 +08:00
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
2026-05-30 07:48:22 +03:00
Concedo 5dc1a89001 support final frame 2026-05-30 09:27:51 +08:00
Concedo c30a386932 fix tools build 2026-05-30 08:55:37 +08:00
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
Concedo 5ff74fe9a6 remove unused action 2026-05-30 01:58:16 +08:00
Concedo 79c21d87f0 tool builds need extra folder now 2026-05-30 01:56:16 +08:00
Sigbjørn Skjæret 764f1e64a1 graph : ensure DS32 kq_mask_lid is F32 (#23864) 2026-05-29 19:55:14 +02:00
Concedo e541554d70 Merge branch 'upstream' into concedo_experimental
# Conflicts:
#	.github/workflows/ui-build.yml
#	.github/workflows/ui-publish.yml
#	.github/workflows/ui-self-hosted.yml
#	CMakeLists.txt
#	app/CMakeLists.txt
#	app/llama.cpp
#	common/arg.cpp
#	ggml/CMakeLists.txt
#	ggml/src/ggml-hexagon/ggml-hexagon.cpp
#	ggml/src/ggml-hexagon/htp/htp-ops.h
#	ggml/src/ggml-hexagon/htp/main.c
#	ggml/src/ggml-hexagon/htp/unary-ops.c
#	ggml/src/ggml-opencl/ggml-opencl.cpp
#	scripts/snapdragon/ggml-hexagon-profile.py
#	scripts/sync-ggml.last
#	src/CMakeLists.txt
#	tests/test-llama-archs.cpp
#	tools/cli/README.md
#	tools/completion/README.md
#	tools/mtmd/CMakeLists.txt
#	tools/mtmd/tests/test-deepseek-ocr.py
#	tools/server/README.md
2026-05-30 01:54:53 +08:00
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
Concedo baacd640c0 Merge commit 'dd1557907ae50e11814e25609b30825b67963663' into concedo_experimental
# Conflicts:
#	.github/workflows/build-vulkan.yml
#	ggml/src/ggml-hexagon/htp/CMakeLists.txt
#	ggml/src/ggml-hexagon/htp/flash-attn-ops.c
#	ggml/src/ggml-hexagon/htp/hmx-flash-attn-ops.c
#	ggml/src/ggml-hexagon/htp/hmx-matmul-ops.c
#	tests/test-backend-ops.cpp
#	tests/test-chat-template.cpp
#	tests/test-chat.cpp
#	tests/test-llama-archs.cpp
#	tools/perplexity/perplexity.cpp
#	tools/server/README.md
2026-05-30 01:40:09 +08:00
Concedo b427dde1a5 increase total frame cap once more to 160 2026-05-30 01:34:43 +08:00
Concedo 6605dce5ce fix ltx assert for cpu vae 2026-05-30 01:24:23 +08:00
Concedo 48a6d161a5 add fps controls 2026-05-29 23:18:14 +08:00
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
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>
2026-05-29 16:13:51 +02:00
Concedo 272c1ee232 increase frame limit to 120 and allow loading tae ltx 2026-05-29 18:50:01 +08:00
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>
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
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>
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
2026-05-29 15:44:43 +08:00