Commit Graph

10883 Commits

Author SHA1 Message Date
tamarPal 2b9bd9bf4e sycl: add ROLL operation support (#16665)
* sycl: add ROLL operation support

- Implement ggml_sycl_roll function for F32 tensors
- Add multi-axis roll operation with SYCL kernel
- Support all 4 tensor dimensions with proper shift normalization
- Add roll.cpp and roll.hpp to SYCL backend
- Update backend dispatch and supports_op for GGML_OP_ROLL
- Tests: 17662/17662 pass with identical CPU reference results

* fix: remove trailing whitespace from roll.cpp

- Fix EditorConfig violations in ggml/src/ggml-sycl/roll.cpp
- Remove trailing spaces from lines 6, 11, 28, 47, 58, 60

* ci: retrigger

* sycl: remove wait() calls from ROLL operation

* fix: editorconfig — LF endings + final newline for roll.hpp

---------

Co-authored-by: tamarPal <tamarPal@example.com>
2025-10-27 09:20:24 +08:00
shani-f 59fc1ec8e8 sycl: add REPEAT_BACK operation support (#16734)
* SYCL repeat_back v1 — add core op + switch case

* Implement repeat_back SYCL operation and minor fixes

* Update ggml/src/ggml-sycl/repeat_back.cpp

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

* Update ggml/src/ggml-sycl/repeat_back.hpp

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

* Update ggml/src/ggml-sycl/ggml-sycl.cpp

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

---------

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
2025-10-27 09:19:50 +08:00
Aman Gupta 75d33b9302 CUDA: support for weight clamp in top-k norm (#16702) 2025-10-27 09:06:16 +08:00
Acly 3470a5c891 ggml-alloc : make gallocr prefer chunks that allow memory reuse (#16788) 2025-10-26 23:19:03 +01:00
Sigbjørn Skjæret bd562fe4f7 cuda : use fast copy when src and dst are of different type and contiguous (#16789)
* use fast copy when src and dst are contiguous and same shape

* use int64_t ne and ignore shape
2025-10-26 21:31:41 +01:00
leejet bbac6a26b2 ggml: fix cuda kernel launch configuration for k_compute_batched_ptrs to support large batch (#16744)
* fix k_compute_batched_ptrs

* add backend ops test

* Update ggml/src/ggml-cuda/ggml-cuda.cu

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

* reduce the batch size

---------

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
2025-10-26 19:13:31 +01:00
Sigbjørn Skjæret 73a48c9790 convert : enable expert group selection for all models with it (#16691) 2025-10-26 17:21:23 +01:00
Sigbjørn Skjæret f696428ce8 graph : add clamping to ffn_moe_weights_sum to avoid div-by-zero (#16655)
* add missing norm topk bias

* use clamping instead, update number and add comment
2025-10-26 17:20:32 +01:00
Sigbjørn Skjæret 7cce4f8158 model : set res->t_embd in SmallThinker models (#16782) 2025-10-26 16:08:52 +01:00
amirai21 8d8862829c docs : add Jamba to Text-only models list (#16778) 2025-10-26 13:01:20 +01:00
Aman Gupta f77c13b91f CUDA: General GEMV fusion (#16715) 2025-10-26 19:28:04 +08:00
Concedo d229774e11 added compatibility endpoint for VITS api 2025-10-26 17:35:10 +08:00
Gilad S. 3cfa9c3f12 vulkan: deduplicate Microsoft Direct3D12 devices (#16689)
* fix: deduplicate and deprioritize Microsoft Direct3D12 vulkan devices from the `vulkan-dozen` driver

* style: indent

* fix: decrease priority

* fix: switch to `||`
2025-10-26 05:37:38 +01:00
Concedo b730c99ecb fixed a typo 2025-10-26 10:06:59 +08:00
Galunid 5d195f17bc convert : handle mmproj filename/path properly (#16760)
* convert: handle mmproj model output filename properly

* remove redundant commits

* Add model_type to gguf utility

* Use mmproj- prefix instead of suffix

* Apply CISC suggestion

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

---------

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
2025-10-25 20:41:36 +02:00
Concedo f03ac3e08e updated lite 2025-10-25 22:38:39 +08:00
Concedo 59fafefbe6 Merge branch 'upstream' into concedo_experimental 2025-10-25 22:38:24 +08:00
Wagner Bruna 2cab657c60 sd: sync to master-336-917f7bf (#1810) 2025-10-25 21:19:35 +08:00
Shunta Saito 226f295f4d model : set res->t_embd in PLaMo2 models (#16766) 2025-10-25 12:26:27 +02:00
Giuseppe Scrivano f90b4a8efe vulkan: delete dead code (#16732)
ggml_vk_create_buffer_temp is not used anywhere, and it is the only
caller for ggml_vk_pool_malloc.

Signed-off-by: Giuseppe Scrivano <gscrivan@redhat.com>
2025-10-25 10:59:54 +02:00
Concedo 9b842edc9a Merge branch 'concedo_experimental' of https://github.com/LostRuins/koboldcpp into concedo_experimental 2025-10-25 16:31:12 +08:00
Concedo 27bf4454d4 Merge branch 'upstream' into concedo_experimental
# Conflicts:
#	examples/model-conversion/scripts/causal/run-org-model.py
#	tests/test-backend-ops.cpp
2025-10-25 16:30:57 +08:00
Jeff Bolz 8423d01931 vulkan: Optimize SSM_SCAN (#16645) 2025-10-25 07:04:12 +02:00
tsite 97867f1990 add alt umt5xxl tensor name (#1813) 2025-10-25 12:48:08 +08:00
compilade 5cca2542ac convert : avoid dequantizing mxfp4 for GPT-OSS (#16756) 2025-10-24 20:52:00 -04:00
leejet 55945d2ef5 ggml: fix CUDA grid launch condition for large block_nums.y in binbcast (#16742)
* Fix CUDA grid launch condition for large block_nums.y

* add backend ops test

* reduce test  repetitions
2025-10-24 21:39:37 +02:00
Concedo da5f5db940 updated lite 2025-10-24 23:38:31 +08:00
Aman Gupta 0bcb40b48c CUDA: use CUB for arbitary size argsort (#16754) 2025-10-24 20:46:19 +08:00
Florian Badie 69e9ff0103 webui: support q URL parameter (#16728)
* webui: support q URL parameter

Fixes #16722
I’ve checked that it works with Firefox’s AI tools

* webui: apply suggestions from code review

Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>

* chore: update webui static build

---------

Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
2025-10-24 14:10:29 +02:00
Concedo 57e1d9c822 rename blasbatchsize to batchsize 2025-10-24 18:16:54 +08:00
Concedo 3712c6e6cd Merge branch 'upstream' into concedo_experimental
# Conflicts:
#	requirements/requirements-convert_hf_to_gguf.txt
#	tools/imatrix/CMakeLists.txt
#	tools/run/CMakeLists.txt
2025-10-24 18:12:16 +08:00
Daniel Bevenius 5a91109a5d model-conversion : add trust_remote_code for orig model run [no ci] (#16751)
This commit add the trust_remote_code=True argument when loading models
using AutoConfig, AutoTokenizer, and AutoModelForCausalLM for the run
original model script.

The motivation for this is that some models require custom code to be
loaded properly, and setting trust_remote_code=True avoids a prompt
asking for user confirmation:
```console
(venv) $ make causal-run-original-model
The repository /path/to/model contains custom code which must be
executed to correctly load the model. You can inspect the repository
content at /path/to/model.

Do you wish to run the custom code? [y/N] N
```

Having this as the default seems like a safe choice as we have to clone
or download the models we convert and would be expecting to run any
custom code they have.
2025-10-24 12:02:02 +02:00
Concedo c18d6a23ff revert for mistral common fix merge 2025-10-24 17:55:36 +08:00
Concedo 68c9d955d2 support multiple override kv 2025-10-24 17:28:54 +08:00
compilade f8f071fadd convert : handle pre-quantized models (#14810)
* convert : begin handling pre-quantized models

* convert : fix conversion from FP8 for Deepseek-V3.1-Base
2025-10-23 16:31:41 -04:00
Johannes Gäßler 0bf47a1dbb server: add memory breakdown print (#16740) 2025-10-23 21:30:17 +02:00
Wagner Bruna fef73919ea sd: clean up changes against stable-diffusion.cpp 90ef5f8 (#1804)
* sd: clean up changes against stable-diffusion.cpp 90ef5f8

Clean up the diff, and include a few missing changes, mainly from
the upscaler and model weight type statistics.

* added line clear again

* remove excess spaces

---------

Co-authored-by: LostRuins Concedo <39025047+LostRuins@users.noreply.github.com>
2025-10-23 22:00:33 +08:00
Julien Denize dd62dcfab9 convert : Make mistral-common dependency optional (#16738)
* Make mistral-common dependency optional

* Fix typing
2025-10-23 15:54:46 +02:00
Xuan-Son Nguyen d0660f237a mtmd-cli : allow using --jinja (#16718)
* mtmd-cli : allow using --jinja

* support -sys

* implement chat_history

* fix clear memory

* rm -sys support, added TODO
2025-10-23 15:00:49 +02:00
Concedo 0aaa8ca3ab update lite 2025-10-23 19:38:54 +08:00
Prajwal B Mehendarkar fe6a9882ac Manually link -lbsd to resolve flock symbol on AIX (#16610) 2025-10-23 19:37:31 +08:00
Aman Gupta 061f0eff02 ggml-cuda: use passed ops instead of hardcoded ops (#16712) 2025-10-23 19:14:06 +08:00
matteo 8cf6b42d46 server : send partial stop string when <EOG> is reached (#15007) 2025-10-23 12:32:24 +03:00
Concedo 12a8bfd453 Merge branch 'upstream' into concedo_experimental
# Conflicts:
#	.github/workflows/build.yml
#	CODEOWNERS
#	README.md
#	docs/ops.md
#	docs/ops/SYCL.csv
#	docs/ops/Vulkan.csv
#	ggml/CMakeLists.txt
#	ggml/src/CMakeLists.txt
#	ggml/src/ggml-opencl/ggml-opencl.cpp
#	ggml/src/ggml-sycl/backend.hpp
#	ggml/src/ggml-sycl/element_wise.cpp
#	ggml/src/ggml-sycl/element_wise.hpp
#	ggml/src/ggml-sycl/ggml-sycl.cpp
#	tests/test-backend-ops.cpp
#	tests/test-thread-safety.cpp
2025-10-23 17:22:17 +08:00
Concedo be3328887f updated lite 2025-10-23 11:52:59 +08:00
Matthew Michel 9de9672adb sycl: use async memory allocation to fix crashes during graph recording (#16644)
* sycl: use async memory allocation to fix graph recording failures

GGML_SYCL_DISABLE_GRAPHS=0 causes crashes because:
  - Host waits are currently unsupported in graph recording mode.
  - SYCL malloc / free calls are unsupported in graph recording mode.

The following changes are made to fix SYCL graph functionality:
  - When graphs are enabled, use the SYCL async memory extension for temp
    buffers which is supported with SYCL graphs.
  - For compiler versions that do not support this extension, skip
    graphs with the affected op.
  - Switch from USM shared to device memory as the async extension
    currently just supports device allocations.

* Address reviewer feedback

* Use global async variable to decide path in sycl_ext_[malloc_device|free]
2025-10-23 09:05:15 +08:00
Max Krasnyansky 63d2fc46e1 Add experimental ggml-hexagon backend for the Hexagon NPU (#16547)
* model: add support for extra bufs for all devices

* hexagon: add experimental ggml-hexagon backend for the Hexagon NPU

This commit introduces a new experimental backend `ggml-hexagon` with support for the Hexagon NPU.

Highlights:
- Supports Hexagon versions: v73, v75, v79, and v81
- Targets Android devices based on Snapdragon SoCs: Gen3, 8-Elite, and 8-Elite Gen5
- Supports Q4_0, Q8_0, MXFP4, and FP32 data types
- Implements core LLM ops: MUL_MAT/MUL_MAT_ID, ADD/SUB/MUL/ADD_ID, RMS_NORM, ROPE, GLU/SWIGLU, SOFTMAX

**Note:** This backend is experimental and may exhibit instability or limited performance across supported devices.
It is intended for early testing and feedback from llama.cpp/ggml developer and user community.

Co-Authored-By: Rajdeep Ganguly <rganguly@qti.qualcomm.com>
Co-Authored-By: Todor Boinovski <todorb@qti.qualcomm.com>

* hexagon: fix format checker errors

* hexagon: update readme and cmake presets

* ci: add android-ndk-build jobs that build plain ARM64 and Snapdragon versions

* hexagon: add simple graph optimizer for stacking MUL_MAT ops with the same input

* hexagon: move ADB helper scripts into scripts/snapdragon/adb

* hexagon: replace all f/printfs with GGML_LOG_...

* readme: add hexagon to the list supported backends

* hexagon: stack malmuts with quantized inputs only

* hexagon: add TODO for fixing issues in hexagon_graph_optimize

* hexagon: update to hex-sdk 6.4.0 and add scripts for running on QDC

* scripts: fix lint errors

* scripts: update qdc pytest script to make linter happy

* hexagon: add reduce sum in fp32

* hexagon: reduce number of vector stores in matmul output

* hexagon: remove the need for vdelta in reduce-multiply-x8

* hexagon: consistent use of reduce_sum_fp32 for row_sums

* hexagon: some more matmul optimizations and comments

Optimize cases where tensor dims are not multiple of 1024 (e.g in Qwen models).
We've handled those cases already but at a higher overhead.

* hexagon: update cmake presets

* hexagon: add OPMASK support for run-bench.sh wrapper

* hexagon: update to use GGML_BACKEND_API

* hexagon: remove unused logic for setting tensor flags for the views

* hexagon: add asserts to set/get_tensor to make sure we handle complete tensors

Same asserts as the CPU backend.

* hexagon: use cpy_tensor slow path for non-host buffers

* hexagon: error checks in the buffer allocator

* cmake: move include(extProj) under ggml-hexagon

* hexagon: don't forget to delete the backend on free

* hexagon: set/get_tensor size assert apply only to quantized tensors

* hexagon: reintroduce HEX_VERBOSE wrapper for GGML_LOG_DEBUG for now

GGML_LOG_DEBUG is always enabled for test-backend-ops and the output gets in the way.
Ideally we need a bit more finer log levels.

* docs: typos in hexagon developer docs (libggm-...)

* hexagon: overhaul error handling in the session/device allocation

this should handle all failure paths in the session allocation.

* hexagon: update cmake presets to enable fp16 vectors

* hexagon: remove unused time_usec function

* hexagon: don't forget to release buffer contexts

* hexagon: fixed indents in hvx-utils (missed clang-format auto-format failure)

* hexagon: remove custom can_repeat function and use ggml_can_repeat

---------

Co-authored-by: Rajdeep Ganguly <rganguly@qti.qualcomm.com>
Co-authored-by: Todor Boinovski <todorb@qti.qualcomm.com>
2025-10-22 13:47:09 -07:00
Diego Devesa a2e0088d92 Revert "ggml : Leverage the existing GGML_F32_VEC helpers to vectorize ggml_v…" (#16723)
This reverts commit 19a5a3edfd.
2025-10-22 20:20:55 +02:00
Pascal 9b9201f65a webui: introduce OpenAI-compatible model selector in JSON payload (#16562)
* webui: introduce OpenAI-compatible model selector in JSON payload

* webui: restore OpenAI-Compatible model source of truth and unify metadata capture

This change re-establishes a single, reliable source of truth for the active model:
fully aligned with the OpenAI-Compat API behavior

It introduces a unified metadata flow that captures the model field from both
streaming and non-streaming responses, wiring a new onModel callback through ChatService
The model name is now resolved directly from the API payload rather than relying on
server /props or UI assumptions

ChatStore records and persists the resolved model for each assistant message during
streaming, ensuring consistency across the UI and database
Type definitions for API and settings were also extended to include model metadata
and the onModel callback, completing the alignment with OpenAI-Compat semantics

* webui: address review feedback from allozaur

* webui: move model selector into ChatForm (idea by @allozaur)

* webui: make model selector more subtle and integrated into ChatForm

* webui: replaced the Flowbite selector with a native Svelte dropdown

* webui: add developer setting to toggle the chat model selector

* webui: address review feedback from allozaur

Normalized streamed model names during chat updates
by trimming input and removing directory components before saving
or persisting them, so the conversation UI shows only the filename

Forced model names within the chat form selector dropdown to render as
a single-line, truncated entry with a tooltip revealing the full name

* webui: toggle displayed model source for legacy vs OpenAI-Compat modes

When the selector is disabled, it falls back to the active server model name from /props

When the model selector is enabled, the displayed model comes from the message metadata
(the one explicitly selected and sent in the request)

* Update tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions.svelte

Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>

* Update tools/server/webui/src/lib/constants/localstorage-keys.ts

Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>

* Update tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormModelSelector.svelte

Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>

* Update tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageAssistant.svelte

Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>

* Update tools/server/webui/src/lib/services/chat.ts

Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>

* Update tools/server/webui/src/lib/services/chat.ts

Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>

* webui: refactor model selector and persistence helpers

- Replace inline portal and event listeners with proper Svelte bindings
- Introduce 'persisted' store helper for localStorage sync without runes
- Extract 'normalizeModelName' utils + Vitest coverage
- Simplify ChatFormModelSelector structure and cleanup logic

Replaced the persisted store helper's use of '$state/$effect' runes with
a plain TS implementation to prevent orphaned effect runtime errors
outside component context

Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>

* webui: document normalizeModelName usage with inline examples

* Update tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormModelSelector.svelte

Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>

* Update tools/server/webui/src/lib/stores/models.svelte.ts

Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>

* Update tools/server/webui/src/lib/stores/models.svelte.ts

Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>

* webui: extract ModelOption type into dedicated models.d.ts

Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>

* webui: refine ChatMessageAssistant displayedModel source logic

* webui: stabilize dropdown, simplify model extraction, and init assistant model field

* chore: update webui static build

* Update tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageAssistant.svelte

Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>

* chore: npm format, update webui static build

* webui: align sidebar trigger position, remove z-index glitch

* chore: update webui build output

---------

Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
2025-10-22 16:58:23 +02:00
sirus20x6 19a5a3edfd ggml : Leverage the existing GGML_F32_VEC helpers to vectorize ggml_vec_set_f32 for faster fills (#16522)
* Leverage the existing GGML_F32_VEC helpers to broadcast the fill value across SIMD registers and store in vector-sized chunks, while retaining the scalar tail for leftover elements and non-SIMD builds.

* Vectorize additional f32 helper loops

* Normalize f32 helper tails for ggml vec ops

---------

Co-authored-by: Aaron <shelhamer.aaron@gmail.com>
2025-10-22 12:14:14 +02:00