* arg: support remote preset
* proof reading
* allow one HF repo to point to multiple HF repos
* docs: mention about multiple GGUF use case
* correct clean_file_name
* download: also return HTTP status code
* fix case with cache file used
* fix --offline option
* ggml-webgpu: add CEIL operation support
Add support for the CEIL unary operation in the WebGPU backend:
- Add CEIL_FUNC shader template in unary_op.wgsl
- Add 4 shader variants (f32, f16, inplace versions)
- Initialize CEIL pipelines in ggml-webgpu.cpp
- Register CEIL in supports_op function
* docs: update WebGPU ops support for CEIL
This commit implements operator fusion for ADD + RMS_NORM operations
in the CANN backend to reduce memory access overhead and improve
performance. The fusion is controlled by the GGML_CANN_OPERATOR_FUSION
environment variable (default: false).
Changes:
- Implement ggml_cann_op_add_rms_norm_fused() using ACLNN AddRmsNorm
- Add ggml_cann_can_fuse() to check fusion eligibility
- Integrate fusion logic into computation graph evaluation
- Add test cases for ADD + RMS_NORM fusion
- Update documentation with new environment variable
The fusion combines ADD and RMS_NORM into a single kernel call,
which is more efficient than executing them separately.
* Clarify setup steps for Linux
Added note that setup steps apply to Linux as well.
* Added note for backtick replacement
* clarify that backtick replacement only applies on linux
* clarified Linux specific steps
So actually some changes are needed for Linux but they are minor.
* clarify change execution
* clarify by placing info after steps
* clarify which steps
* Make instructions consistent across OSes
* Rm whitespace
* Update docs/backend/OPENCL.md
Co-authored-by: Aaron Teo <taronaeo@gmail.com>
* Update docs/backend/OPENCL.md
Co-authored-by: Aaron Teo <taronaeo@gmail.com>
* Update docs/backend/OPENCL.md
Co-authored-by: Aaron Teo <taronaeo@gmail.com>
---------
Co-authored-by: Aaron Teo <taronaeo@gmail.com>
* add count equal for metal
* remove trailing whitespace
* updated doc ops table
* changed shmem to i32
* added multi tg and templating
* removed BLAS support from Metal docs
* Apply suggestions from code review
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* add memset to set dst to 0
* metal : cleanup
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* refactor: replace ggml_hexagon_mul_mat with template-based binary operation for improved flexibility
* refactor: replace ggml_hexagon_mul_mat_id with template-based binary operation for improved flexibility
* refactor: initialize buffer types and streamline dspqueue_buffers_init calls for clarity
* add comment
* refactor: remove redundant buffer checks in hexagon supported operations
* wip
* add missing include to fix weak symbol warning
* add ggml_hexagon_op_generic
* refactor: simplify tensor operation initialization and buffer management in hexagon implementation
* refactor: streamline hexagon operation initialization and buffer management
* refactor: update function signatures and streamline request handling in hexagon operations
* wip
* ggml-hexagon: clean up code formatting and improve unary operation handling
* wip
* rename
* fix: add support for permuted F16 tensors and enhance quantization checks in matrix operations
* refactor: replace ggml_hexagon_mul_mat with template-based binary operation for improved flexibility
refactor: replace ggml_hexagon_mul_mat_id with template-based binary operation for improved flexibility
refactor: initialize buffer types and streamline dspqueue_buffers_init calls for clarity
refactor: remove redundant buffer checks in hexagon supported operations
add missing include to fix weak symbol warning
add ggml_hexagon_op_generic
refactor: simplify tensor operation initialization and buffer management in hexagon implementation
refactor: streamline hexagon operation initialization and buffer management
refactor: update function signatures and streamline request handling in hexagon operations
ggml-hexagon: clean up code formatting and improve unary operation handling
fix: add support for permuted F16 tensors and enhance quantization checks in matrix operations
# Conflicts:
# ggml/src/ggml-hexagon/ggml-hexagon.cpp
* hexagon: fix merge conflicts
* hexagon: minor cleanup for buffer support checks
* hexagon: factor out op_desc and the overal op logging
* hexagon: further simplify and cleanup op dispatch logic
* snapdragon: update adb scripts to use llama-cli and llama-completion
* fix pipeline failure
---------
Co-authored-by: Max Krasnyansky <maxk@qti.qualcomm.com>
* UI: implement basic UI components
* util: implement performance monitor; wrap it with a viewmodel
* util: implement user preferences utility
* UI: implement core flow's screens
* UI: add a new MainActivity; update manifest
* [WIP] DI: implement simple local vm factory provider
* UI: disable triggering drawer via gesture; enable alert dialog on back navigation inside conversation and benchmark
* UI: allow drawer's gesture control only on Home and Settings screens; enable alert dialog on back navigation inside conversation and benchmark
* UI: split a nested parent settings screen into separate child settings screens
* UI: polish system prompt setup UI
* Deps: bump Kotlin plugin; introduce KSP; apply in :app subproject
* DB: setup Room database
* data: introduce repo for System Prompt; flow data from Room to VM
* bugfix: properly handle user's quitting conversation screen while tokens in generation
* UI: rename `ModeSelection` to `ModelLoading` for better clarity
* UI: update app name to be more Arm
* UI: polish conversation screen
* data: code polish
* UI: code polish
* bugfix: handle user quitting on model loading
* UI: locks user in alert dialog when model is unloading
* vm: replace token metrics stubs with actual implementation
* UI: refactor top app bars
* nit: combine temperatureMetrics and useFahrenheit
* DI: introduce Hilt plugin + processor + lib dependencies
* DI: make app Hilt injectable
* DI: make viewmodels Hilt injectable
* DI: replace manual DI with Hilt DI
* UI: optimize AppContent's composing
* bugfix: wait for model to load before navigating to benchmark screen; use NavigationActions instead of raw navController
* UI: navigation with more natural animated transitions
* DI: Optimize AppModule
* Feature: Introduce ModelRepository and ModelsManagementViewModel; update AppModule
* UI: polish UI for ModelsManagementScreen; inject ModelsManagementVieModel
* DI: abstract the protocol of SystemPromptRepository; update AppModule
* data: [WIP] prepare for ModelRepository refactor & impl
* data: introduce Model entity and DAO; update DI module
* UI: replace Models Management screen's stubbing with instrumentation
* UI: polish sort order menu
* data: import local model with file picker
* bugfix: use List instead of Collection for ModelDao's deletion
* data: add a util file for extracting file name & size and model metadata
* UI: enrich ModelManagementState; extract filename to show correct importing UI
* UI: implement multiple models deletion; update Models Management screen
* UI: handle back navigation when user is in multi-selection mode
* util: extract file size formatting into ModelUtils
* UI: add a confirmation step when user picks a file; refactor model import overlay into AlertDialog
* UI: extract a shared ModelCard component
* UI: replace model selection screen's data stubbing; add empty view
* nit: tidy SystemPromptViewModel
* Util: split FileUtils from ModelUtils; extract copy methods into FileUtils
* data: pass through getModelById from ModelDao into ModelRepository
* core: extract conversation and benchmark logics into InferenceManager; add logs and missing state updates in stub InferenceEngine
* vm: split mono MainViewModel into separate individual ViewModels
* vm: merge SystemPromptViewModel into ModelLoadingViewModel
* core: break down InferenceManager due to Interface Segregation Principle
* UI: show model card in Model Loading screen
* UI: show model card in Conversation screen
* UI: unify Model Card components
* core: swap in LLamaAndroid and mark stub engine for testing only
* data: allow canceling the ongoing model import
* UI: update UI ongoing model import's cancellation
* LLama: update engine state after handling the cancellation of sendUserPrompt
* VM: handle the cancellation of ongoing token generation
* LLama: refactor loadModel by splitting the system prompt setting into a separate method
* feature: check for available space before copying local model
* UI: centralize the AppScaffold and modularize its configs
* UI: refactor BottomBarConfig.ModelsManagement APIs
* UI: combine TopBarConfig and BottomBarConfig into each route's ScaffoldConfig
* UI: replace ugly optional as casts in AppScaffold with extension functions
* UI: fix the typo `totalGb` in `StorageMetrics`
* UI: remove code duplication in sort menu
* LLama: add ModelUnloadingState to engine State; add missing state checks in stub engine; fix instrumentation engine's error messages
* UI: refactor back handling by removing centralized BackHandlerSetup and UnloadModelConfirmationDialog from AppContent
* UI: implement BenchmarkScreen's individual back handling
* LLama: add a new Initializing state; ; add two extension properties; rename LibraryLoaded state to Initialized
* UI: Introduce an abstract ViewModel to handle additional model unloading logics
* UI: expose a single facade ModelUnloadDialogHandler; move UnloadModelState into ModelUnloadingViewModel.kt
* UI: migrate ModelLoadingScreen onto ModelLoadingViewModel; update & refine ModelLoadingScreen
* UI: migrate ConversationViewModel onto ModelLoadingViewModel; update & refine ConversationScreen
* nit: extract app name into a constant value; remove unused onBackPressed callbacks
* UI: update AppContent to pass in correct navigation callbacks
* nit: polish ModelLoadingScreen UI
* core: throw Exception instead of returning null if model fails to load
* navigation: sink model loading state management from AppContent down into ModelLoadingScreen; pass ModelLoadingMetrics to Benchmark and Conversation screens
* gguf: add GGUF metadata data holder and its corresponding extractor implementation
* DB: introduce Kotlin serialization extension's library and plugin; add Room runtime library
* GGUF: make GgufMetadata serializable in order to be compatible with Room
* nit: refactor data.local package structure
* nit: rename lastUsed field to dateLastUsed; add dateAdded field
* UI: refactor ModelCard UI to show GGUF metadata
* UI: update ModelSelectionScreen with a preselect mechanism
* UI: polish model card
* nit: allow deselect model on Model Selection screen
* nit: revert accidental committing of debug code
* UI: polish ModelLoading screen
* util: extract formatting helper functions from FileUtils into a new FormatUtils
* UI: polish model cards on Benchmark and Conversation screens to show model loading metrics
* UI: show a Snack bar to warn user that system prompt is not always supported
* UI: handle back press on Model Selection screen
* UI: finally support theme modes; remove hardcoded color schemes, default to dynamic color scheme implementation
* feature: support searching on Model Selection screen
* nit: move scaffold related UI components into a separate package
* UI: extract InfoView out into a separate file for reusability
* data: move Model related actions (query, filter, sort) into ModelInfo file
* UI: animate FAB on model preselection states
* feature: support filtering in Model Management screen
* ui: show empty models info in Model Management screen
* ui: add filter off icon to "Clear filters" menu item
* [WIP] ui: polish Benchmark screen; implement its bottom app bar
* ui: polish Benchmark screen; implement its bottom app bar's rerun and share
* nit: disable mode selection's radio buttons when loading model
* feature: implement Conversation screen's bottom app bar
* pkg: restructure BottomAppBars into separate files in a child package
* pkg: restructure TopBarApps into separate files in a child package
* pkg: restructure system metrics into a separate file
* UI: polish Conversation screen
* data: update system prompt presets
* UI: allow hide or show model card on Conversation & Benchmark screens; fix message arrangement
* data: update & enhance system prompt presets
* deps: introduce Retrofit2
* data: implement HuggingFace data model, data source with Retrofit API
* data: update Model data repository to support fetching HuggingFace models
* [WIP] UI: replace the HuggingFace stub in Model Management screen with actual API call
* UI: map language codes into country Emojis
* ui: add "clear results" action to Benchmark screen
* nit: print current pp & tg in llama-bench
* UI: disable landscape mode; prevent duplicated benchmark running
* llama: migrate C/CXX flags into CMakeList
* [WIP] llama: ABI split builds five .so artifacts.
However, all .so are performing on SVE level
* [WIP] llama: ABI split where five tiers are built sequentially.
* [WIP] llama: disable OpenMP in ABI split since most SoCs are big.LITTLE
* [WIP] llama: enable KleidiAI and disable tier 4 due to `+sve+sve2` bug caused by `ggml_add_cpu_backend_variant_impl` as explained below
```CMake
if (NOT SME_ENABLED MATCHES -1)
...
set(PRIVATE_ARCH_FLAGS "-fno-tree-vectorize;${PRIVATE_ARCH_FLAGS}+sve+sve2")
...
```
* core: add Google's cpu_features as a submodule
* core: implement cpu_detector native lib
* core: swap out hardcoded LlamaAndroid library loading
* core: add back OpenMP due to huge perf loss on TG128
* misc: reorg the pkg structure
* misc: rename LlamaAndroid related class to InferenceEngine prefixes
* [WIP] lib: move GgufMetadata into the lib submodule
* lib: expose GgufMetadataReader as interface only
* lib: replace the naive & plain SharedPreferences with DataStore implementation
* lib: hide the internal implementations, only expose a facade and interfaces
* lib: expose Arm features
* di: add a stub TierDetection; provide both actual impl and stub in AppModule
* UI: add visualizer UI for Arm features
* misc: UI polish
* lib: refactored InferenceEngineLoader; added a `NONE` Llama Tier
* UI: support `NONE` Llama Tier in general settings
* lib: optimize engine loader; always perform a fresh detection when cache is null
* remote: add HuggingFaceModelDetails data class
* remote: refine HuggingFaceModel data class
* nit: remove `trendingScore` field from HuggingFace model entities, weird...
* remote: refactor HuggingFaceApiService; implement download feature in HuggingFaceRemoteDataSource
* remote: fix the incorrect parse of HuggingFace's inconsistent & weird JSON response
* UI: scaffold Models Management screen and view model
* UI: implement a dialog UI to show fetched HuggingFace models.
* UI: use a broadcast receiver to listen for download complete events and show local import dialog.
* data: handle network exceptions elegantly
* pkg: restructure `data`'s packages
* data: extract local file info, copy and cleanup logics into LocalFileDataSource
* nit: minor UI patch; add missing comments
* bugfix: tapping "Home" in navigation drawer should simply close it without any navigation action.
* UI: improve autoscroll during token generation
* lib: tested on JFrog Artifactory for Maven publishing
* UI: show RAM warning if model too large
* UI: polish model management screen's error dialog
* util: add more items into the mapping table of ISO 639-1 language code to ISO 3166-1 country code
* llm: properly propagate error to UI upon failing to load selected model
* UI: avoid duplicated calculation of token metrics
* lib: read & validate the magic number from the picked source file before executing the import
* UI: add "Learn More" hyperlinks to Error dialog upon model import failures
* lib: refactor the GgufMetadataReader to take InputStream instead of absolute path as argument
* lib: fix the `SIMD` typo in Tier description
* core: verify model file path is readable
* lib: add UnsupportedArchitectureException for triaged error message
* util: split FormatUtils into multiple utils for better readability
* UI: change benchmark screen from raw markdown to table view
* bugfix: reset preselection upon running the preselected model
* misc: linter issue
* bugfix: fix the malfunctioning monitoring switch
* UI: update Arm features indicator; fix the broken hyperlinks
* UI: add quick action buttons to benchmark screen's result card
* UI: hide share fab after clearing all benchmark results
* UI: fix the model unload dialog message; elevate the model card and hide it by default on Conversation screen;
* UI: hide the stubbing actions in Conversation screen
* UI: add show/hide stats control to conversation screen's assistant message bubble; fix placeholder
* UI: add a info button to explain token metrics
* misc: remove the redundant `Companion` added due to refactoring
* UI: show corresponding system metrics detailed info upon tapping RAM / storage / temperature indicator
* UI: add info button to System Prompt switch; expand the model card by default
* UI: disable tag & language chips; add section headers to explain what they are
* misc: replace top bar indicator's spacer with padding
* UI: merge the Model Selection and Model Management into a unified Models screen
* UI: split the ModelsManagementViewModel from a unified ModelsViewModel due to huge complexity
* UI: add model loading in progress view; polish the empty model info view
* UI: polish the bottom bars and info view when no models found; show loading in progress while fetching models
* build: [BREAKING] bump the versions of libraries and plugins
* UI: fix the breaking build
* UI: add Tooltip on Import FAB for user onboarding
* UI: adds AppPreferences to track user onboarding status
* UI: tracks user's first success on importing a model
* data: add hand crafted rules to filter the models fetched from HuggingFace API
* UI: update app name & about; polish top bars' indicators & buttons
* UI: polish Hugging Face download dialog UI
* UX: implement onboarding tooltips for model import and onboarding
* misc: use sentence case for CTA button labels
* [WIP] UI: add Arm color palette from Philip.Watson3
* UI: address Rojin's UX feedbacks
* UI: address Rojin's UX feedbacks - part 2
* UI: update Arm color palette from Philip.Watson3
* data: make sure fetch preselected models in the same order of their IDs
* UI: fix UI issues in the generic settings screen and navigation drawer
* nit: address Rojin's feedbacks on model import message again
* nit: append `®` to all `Arm` labels
* UI: extract a reusable InfoAlertDialog
* core: support GGML_CPU_ALL_VARIANTS on Android!
* core: restructure Kleidi-Llama library
* core: organizing cmake arguments
* data: sort preselected models according to device's available RAM
* app: update adaptive + themed + legacy icons and app name
* UI: fix the font size auto scaling for ArmFeaturesVisualizer
* core: further improve the performance on native methods
* UI: minor color palette changes; emphasize the bottom bar FABs; fix Settings Screen menu item label
* UI: make more room for assistant message bubble's width
* UI: better usage of tertiary colors to highlight model cards but not for warnings
* UI: fix the layout issue on large font sizes
* lib: support x86-64 by dynamically set Arm related definitions
* lib: replace the factory pattern for deprecated tiered lib loading with single instance pattern
* llama: update the library name in JNI and CMake project
* llama: update the library's package name and namespace
* llama: update the app's package name and namespace
* app: bump ksp version
* app: remove deprecated SystemUIController from accompanist by migrating to EdgeToEdge
* app: extract AppContent from MainActivity to a separate file in ui package
* lib: add File version for GGUF Magic number verification
* lib: perform engine state check inclusively instead of exclusively
* lib: change `LlamaTier` to `ArmCpuTier`
* lib: remove kleidi-llama related namings
* cleanup: remove Arm AI Chat/Playground app source code; replace with the basic sample app from https://github.com/hanyin-arm/Arm-AI-Chat-Sample
Note: the full Google Play version of AI Chat app will be open will be open sourced in another repo soon, therefore didn't go through the trouble of pruning the history using `git filter-repo` here.
* [WIP] doc: update main and Android README docs; add self to code owners
* lib: revert System.load back to System.loadLibrary
* jni: introduce a logging util to filter different logging levels on different build types
* lib: enable app optimization
* doc: replace stub Google Play app URL with the actual link add screenshots; add my GitHub ID to maintainer list
* Remove cpu_features
* Fix linters issues in editorconfig-checker job
https://github.com/ggml-org/llama.cpp/actions/runs/19548770247/job/55974800633?pr=17413
* Remove unnecessary Android CMake flag
* purge include/cpu_features directory
---------
Co-authored-by: Han Yin <han.yin@arm.com>
* ggml-cpu: add ggml_thread_cpu_relax with Zihintpause support
Signed-off-by: Wang Yang <yangwang@iscas.ac.cn>
* cmake: enable RISC-V zihintpause extension for Spacemit builds
* readme : add ZIHINTPAUSE support for RISC-V
---------
Signed-off-by: Wang Yang <yangwang@iscas.ac.cn>
* common : implement parser combinators to simplify chat parsing
* add virtual destructor to parser_base
* fix memory leak from circular references of rules
* implement gbnf grammar building
* remove unused private variable
* create a base visitor and implement id assignment as a visitor
* fix const ref for grammar builder
* clean up types, friend classes, and class declarations
* remove builder usage from until_parser
* Use a counter class to help assign rule ids
* cache everything
* add short description for each parser
* create a type for the root parser
* implement repetition parser
* Make optional, one_or_more, and zero_or_more subclasses of repetition
* improve context constructor
* improve until parsing and add benchmarks
* remove cached() pattern, cache in parser_base with specialized parsing functions for each parser
* improve json parsing performance to better match legacy parsing
* fix const auto * it for windows
* move id assignment to classes instead of using a visitor
* create named rules in the command r7b example
* use '.' for any in GBNF
* fix parens around choices in gbnf grammar
* add convenience operators to turn strings to literals
* add free-form operators for const char * to simplify defining literals
* simplify test case parser
* implement semantic actions
* remove groups in favor of actions and a scratchpad
* add built in actions for common operations
* add actions to command r7b example
* use std::default_searcher for platforms that don't have bm
* improve parser_type handling and add cast helper
* add partial result type to better control when to run actions
* fix bug in until()
* run actions on partial results by default
* use common_chat_msg for result
* add qwen3 example wip
* trash partial idea and simplify
* move action arguments to a struct
* implement aho-corasick matcher for until_parser and to build exclusion grammars
* use std::string for input, since std::string_view is incompatible with std::regex
* Refactor tests
* improve qwen3 example
* implement sax-style parsing and refactor
* fix json string in test
* rename classes to use common_chat_ prefix
* remove is_ suffix from functions
* rename from id_counter to just counter
* Final refactored tests
* Fix executable name and editorconfig-checker
* Third time's the charm...
* add trigger parser to begin lazy grammar rule generation
* working lazy grammar
* refactor json rules now that we check for reachability
* reduce pointer usage
* print out grammars in example
* rename to chat-peg-parser* and common_chat_peg_parser*
* Revert unrelated changes
* New macros for CMakeLists to enable multi-file compilations
* starting unicode support
* add unicode support to char_parser
* use unparsed args as additional sources
* Refactor tests to new harness
* Fix CMakeLists
* fix rate calculation
* add unicode tests
* fix trailing whitespace and line endings
skip-checks: true
* Helpers + rewrite qwen3 with helpers
* Fix whitespace
* extract unicode functions to separate file
* refactor parse unicode function
* fix compiler error
* improve construction of sequence/choice parsers
* be less clever
* add make_parser helper function
* expand usage of make_parser, alias common_chat_msg_peg_parser_builder to builder in source
* lower bench iterations
* add unicode support to until_parser
* add unicode support to json_string_parser
* clean up unicode tests
* reduce unicode details to match src/unicode.cpp
* simplify even further
* remove unused functions
* fix type
* reformat char class parsing
* clean up json string parser
* clean up + fix diagnostics
* reorder includes
* compact builder functions
* replace action_parser with capture_parser, rename env to semantics
* rename env to semantics
* clean up common_chat_parse_context
* move type() to below constant
* use default constructor for common_chat_peg_parser
* make all operators functions for consistency
* fix compilation errors in test-optional.cpp
* simplify result values
* rename json_string_unquoted to json_string_content
* Move helper to separate class, add separate explicit and helper classes
* Whitespace
* Change + to append()
* Reformat
* Add extra helpers, tests and Minimax example
* Add some extra optional debugging prints + real example of how to use them
* fix bug in repetitions when min_count = 0 reports failures
* dump rule in debug
* fix token accumulation and assert parsing never fails
* indent debug by depth
* use LOG_* in tests so logs sync up with test logs
* - Add selective testing
- Refactor all messaging to use LOG_ERR
- Fix lack of argument / tool name capturing
- Temporary fix for double event capture
* refactor rule() and introduce ref()
* clean up visitor
* clean up indirection in root parser w.r.t rules
* store shared ptr directly in parser classes
* replace aho-corasick automation with a simple trie
* Reset prev for qwen3 helper example variant
* refactor to use value semantics with std::variant/std::visit
* simplify trie_matcher result
* fix linting issues
* add annotations to rules
* revert test workaround
* implement serializing the parser
* remove redundant parsers
* remove tests
* gbnf generation fixes
* remove LOG_* use in tests
* update gbnf tests to test entire grammar
* clean up gbnf generation and fix a few bugs
* fix typo in test output
* remove implicit conversion rules
* improve test output
* rename trie_matcher to trie
* simplify trie to just know if a node is the end of a word
* remove common_chat_ prefix and ensure a common_peg_ prefix to all types
* rename chat-peg-parser -> peg-parser
* promote chat-peg-parser-helper to chat-peg-parser
* checkpoint
* use a static_assert to ensure we handle every branch
* inline trivial peg parser builders
* use json strings for now
* implement basic and native chat peg parser builders/extractors
* resolve refs to their rules
* remove packrat caching (for now)
* update tests
* compare parsers with incremental input
* benchmark both complete and incremental parsing
* add raw string generation from json schema
* add support for string schemas in gbnf generation
* fix qwen example to include \n
* tidy up example
* rename extractor to mapper
* rename ast_arena to ast
* place basic tests into one
* use gbnf_format_literal from json-schema-to-grammar
* integrate parser with common/chat and server
* clean up schema and serialization
* add json-schema raw string tests
* clean up json creation and remove capture parser
* trim spaces from reasoning and content
* clean up redundant rules and comments
* rename input_is_complete to is_partial to match rest of project
* simplify json rules
* remove extraneous file
* remove comment
* implement += and |= operators
* add comments to qwen3 implementation
* reorder arguments to common_chat_peg_parse
* remove commented outdated tests
* add explicit copy constructor
* fix operators and constness
* wip: update test-chat for qwen3-coder
* bring json parser closer to json-schema-to-grammar rules
* trim trailing space for most things
* fix qwen3 coder rules w.r.t. trailing spaces
* group rules
* do not trim trailing space from string args
* tweak spacing of qwen3 grammar
* update qwen3-coder tests
* qwen3-coder small fixes
* place parser in common_chat_syntax to simplify invocation
* use std::set to collect rules to keep order predictable for tests
* initialize parser to make certain platforms happy
* revert back to std::unordered_set, sort rule names at the end instead
* uncomment rest of chat tests
* define explicit default constructor
* improve arena init and server integration
* fix chat test
* add json_member()
* add a comprehensive native example
* clean up example qwen test and add response_format example to native test
* make build_peg_parser accept std::function instead of template
* change peg parser parameters into const ref
* push tool call on tool open for constructed parser
* add parsing documentation
* clean up some comments
* add json schema support to qwen3-coder
* add id initializer in tests
* remove grammar debug line from qwen3-coder
* refactor qwen3-coder to use sequence over operators
* only call common_chat_peg_parse if appropriate format
* simplify qwen3-coder space handling
* revert qwen3-coder implementation
* revert json-schema-to-grammar changes
* remove unnecessary forward declaration
* small adjustment to until_parser
* rename C/C++ files to use dashes
* codeowners : add aldehir to peg-parser and related files
---------
Co-authored-by: Piotr Wilkin <piotr.wilkin@syndatis.com>
* vulkan: add LOG operation support for F32 and F16
Part of #14909.
* vulkan: Fix LOG operation types
* docs: Update operation support documentation for Vulkan LOG operation
* vulkan: fix log_f16 shader
* docs: restore missing LOG test cases and regenerate ops.md
* SYCL: add generic unary op implementation for multiple ops (ABS/SGN/…); unify non-contiguous access
* SYCL: update documentation and sycl.csv to reflect new unary op support
* update ops.md after syncing SYCL.csv changes
* Fix SYCL.csv merge conflict
* Update ops.md after fixing SYCL.csv conflicts
* Fix SYCL.csv tail after merge conflict and regenerate ops.md
* Fix line endings and final newline in SYCL.csv
* Remove TOPK_MOE entries from SYCL.csv as requested
* Update ops.md after removing TOPK_MOE from SYCL.csv
* Regenerated SYCL.csv and synced ops.md with upstream
* Update ops.md using create_ops_docs.py
* 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>
* SYCL: Add support for FLOOR,CEIL,ROUND and TRUNC unary operators
Clean up unrelated changes from previous commit
* Chore: remove empty lines and fix indentation
* Clean up: remove leftover blank lines and fix spacing
* chore: fix trailing whitespace and ensure final newline
* Cleanup: remove redundant declarations already defined in header
* Sync docs/ops.md with updated backend operation support
* docs: update ops.md after rebase
* docs: update ops.md - Vulkan supports SSM_CONV and SSM_SCAN
* vulkan: implement SSM scan operation
Add State Space Model scan operation to the Vulkan backend.
Signed-off-by: Giuseppe Scrivano <gscrivan@redhat.com>
* vulkan: implement SSM conv operation
Add State Space Model conv operation to the Vulkan backend.
Signed-off-by: Giuseppe Scrivano <gscrivan@redhat.com>
---------
Signed-off-by: Giuseppe Scrivano <gscrivan@redhat.com>
* CPU: Add support for FLOOR,CEIL,ROUND and TRUNC unary operators
- Added the operators to unary op enum
- Implemented API functions
- Implemented forward and unary-op logic in CPU backend
- Updated ggml_get_n_tasks
- Updated operators names array and static_assert
- Updated docs and enabled automatic tests
* docs: add documentation for ggml_trunc and ggml_trunc_inplace in ggml.h
* chore: remove trailing whitespace from ggml.h
* Remove unresolved merge markers
* Apply review suggestions: cleanup formatting, enum order and leftover artifacts
* Regenerate ops.md using create_ops_docs.py
* fix/refactor OP argsort, pad
* fix count-equal op
* update SYCL OP list
* fix format issue
---------
Co-authored-by: Zhang Jianyu <zhang.jianyu@outlook.com>
* update oneapi to 2025.2, use deep-learning-essentials to replace base-tool
* update to 2025.2 use deeplearn essi to replace base toolkit
* add missed dll
* add deep learning essentials
* add sycl-ls
---------
Co-authored-by: Zhang Jianyu <zhang.jianyu@outlook.com>
Since the prefill length is not fixed, graphs constructed for the
prefill stage cannot be reused. For this reason, ACL graph
execution is disabled by default during prefill.
* CANN: implement LRU cache for ACL graphs in CANN backend
- Introduce ggml_cann_graph_lru_cache to store multiple ggml_cann_graph objects.
- Graphs are loaded on demand and evicted using LRU policy when capacity is exceeded.
- Updated push, move_to_front, and clear methods to manage cached graphs efficiently.
- Ensures reuse of graphs, reducing graph reconstruction overhead in CANN backend.
* fix typo
* The LRU cache capacity can be configured via an env variable
Signed-off-by: noemotiovon <757486878@qq.com>
* refactory acl graph
* refactory && fix review comments
Signed-off-by: noemotiovon <757486878@qq.com>
---------
Signed-off-by: noemotiovon <757486878@qq.com>
* [CANN] Support eager execution mode under ACL graph compilation
Add support for running operators in eager mode while ACL graph
compilation is enabled. This allows bypassing graph execution
and directly submitting ops, which is useful for debugging and
reducing graph build overhead in certain scenarios.
Signed-off-by: noemotiovon <757486878@qq.com>
* fix typo
Signed-off-by: noemotiovon <757486878@qq.com>
* rename to acl_graph_mode
Signed-off-by: noemotiovon <757486878@qq.com>
---------
Signed-off-by: noemotiovon <757486878@qq.com>
* Fix MinicpmV model converter and clip to avoid using hardcode.
* Code update for pr/14750
* Remove unused field, update script path in docs.
* Add version 5 for fallback code.
---------
Co-authored-by: lzhang <zhanglei@modelbest.cn>
This patch updates the example in docs/development/HOWTO-add-model.md to
reflect recent changes after `TextModel` and `MmprojModel` were introduced.
It replaces the outdated `Model` base class with `TextModel` or `MmprojModel`
and updates the registration example accordingly.
Signed-off-by: Wook Song <wook16.song@samsung.com>
* musa: apply mublas API changes
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
* musa: update musa version to 4.2.0
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
* musa: restore MUSA graph settings in CMakeLists.txt
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
* musa: disable mudnnMemcpyAsync by default
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
* musa: switch back to non-mudnn images
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
* minor changes
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
* musa: restore rc in docker image tag
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
---------
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
* Documentation: Revised and further improved the Vulkan instructions for Linux users in build.md.
* Minor: Revise step 2 of the Vulkan instructions for Linux users in build.md
* Minimal setup of webgpu backend with dawn. Just prints out the adapter and segfaults
* Initialize webgpu device
* Making progress on setting up the backend
* Finish more boilerplate/utility functions
* Organize file and work on alloc buffer
* Add webgpu_context to prepare for actually running some shaders
* Work on memset and add shader loading
* Work on memset polyfill
* Implement set_tensor as webgpu WriteBuffer, remove host_buffer stubs since webgpu doesn't support it
* Implement get_tensor and buffer_clear
* Finish rest of setup
* Start work on compute graph
* Basic mat mul working
* Work on emscripten build
* Basic WebGPU backend instructions
* Use EMSCRIPTEN flag
* Work on passing ci, implement 4d tensor multiplication
* Pass thread safety test
* Implement permuting for mul_mat and cpy
* minor cleanups
* Address feedback
* Remove division by type size in cpy op
* Fix formatting and add github action workflows for vulkan and metal (m-series) webgpu backends
* Fix name
* Fix macos dawn prefix path
* Simplify the environment variable setting to specify the memory pool type.
* Adjust the GGML_CANN_ASYNC_MODE setting to accept yes, enable, 1, or on (case-insensitive) as valid options.
* update
* fix CI
* update
* delete whitespace
* fix according to review
* update CANN.md
* update CANN.md
* mtmd : allow multiple modalities at the same time
* refactor mtmd tokenizer
* fix compile
* ok, missing SinusoidsPositionEmbedding
* first working version
* fix style
* more strict validate of n_embd
* refactor if..else to switch
* fix regression
* add test for 3B
* update docs
* fix tokenizing with add_special
* add more tests
* fix test case "huge"
* rm redundant code
* set_position_mrope_1d rm n_tokens
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