* Fix kimi-k2 parsing
* fix template & add more tests for kimi-k2
* Another fix for Kimi-K2 chat template.
* enable allow_toolcall_in_think for Kimi-K2
* Refine key-value separator and value end format
* Enable tool call in think for kimi-k2
* allow_toolcall_in_think is now tested with Kimi-K2
* Remove outdated TODO comment in XML tool call parser
Removed TODO comment about untested tool call feature.
* Rename function from "utf8_truncate_safe" to "utf8_truncate_safe_len"
This commit skips the model validation check when the user specifies the
--help option.
The motivation for this is that currently and error is thrown before the
--help could be processed. Now skips validation if params.usage is set,
allowing help to display without requiring --model.
Resolves: https://github.com/ggml-org/llama.cpp/issues/17754
Previously, cmake was forcing `_WIN32_WINNT=0x0A00` for MinGW builds,
This caused "macro redefined" warnings with toolchains that define the version.
This also removes the `GGML_WIN_VER` variable as it is no longer needed.
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
* 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>
* Faster tensors (#8)
Add fast matrix and matrix/vector multiplication.
* Use map for shader replacements instead of pair of strings
* Wasm (#9)
* webgpu : fix build on emscripten
* more debugging stuff
* test-backend-ops: force single thread on wasm
* fix single-thread case for init_tensor_uniform
* use jspi
* add pthread
* test: remember to set n_thread for cpu backend
* Add buffer label and enable dawn-specific toggles to turn off some checks
* Intermediate state
* Fast working f16/f32 vec4
* Working float fast mul mat
* Clean up naming of mul_mat to match logical model, start work on q mul_mat
* Setup for subgroup matrix mat mul
* Basic working subgroup matrix
* Working subgroup matrix tiling
* Handle weirder sg matrix sizes (but still % sg matrix size)
* Working start to gemv
* working f16 accumulation with shared memory staging
* Print out available subgroup matrix configurations
* Vectorize dst stores for sg matrix shader
* Gemv working scalar
* Minor set_rows optimization (#4)
* updated optimization, fixed errors
* non vectorized version now dispatches one thread per element
* Simplify
* Change logic for set_rows pipelines
---------
Co-authored-by: Neha Abbas <nehaabbas@macbookpro.lan>
Co-authored-by: Neha Abbas <nehaabbas@ReeseLevines-MacBook-Pro.local>
Co-authored-by: Reese Levine <reeselevine1@gmail.com>
* Comment on dawn toggles
* Working subgroup matrix code for (semi)generic sizes
* Remove some comments
* Cleanup code
* Update dawn version and move to portable subgroup size
* Try to fix new dawn release
* Update subgroup size comment
* Only check for subgroup matrix configs if they are supported
* Add toggles for subgroup matrix/f16 support on nvidia+vulkan
* Make row/col naming consistent
* Refactor shared memory loading
* Move sg matrix stores to correct file
* Working q4_0
* Formatting
* Work with emscripten builds
* Fix test-backend-ops emscripten for f16/quantized types
* Use emscripten memory64 to support get_memory
* Add build flags and try ci
---------
Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
* Remove extra whitespace
* Move wasm single-thread logic out of test-backend-ops for cpu backend
* Disable multiple threads for emscripten single-thread builds in ggml_graph_plan
* Fix .gitignore
* Add memory64 option and remove unneeded macros for setting threads to 1
---------
Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
This change limits progress updates to approximately every 0.1% of the
file size to minimize stdio overhead.
Also fixes compiler warnings regarding __func__ in lambdas.
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
As we only support static graphs for the time and we don't know the size
of the output of top-p, we have to do value-scaling same as for min-p
operator.
Further improvements can be applied to the unit-test (i.e. check for
equivalence of top_p happening on backend with top_p happening on cpu)
and also by constructing candidates and sorting those as opposed to
reversing the sort of the logits (this would be arange +
get_rows instead of argsort + get_rows)
This commit removes the backend sampling chain from the common_sampler
structure and related functions.
The motivation for this change is that the backend samplers are not
currently set on the context, and if they are they would cause the
a graph reallocation to occur. Instead, the intialization is handled
like it currently is by llama_context's constructor.
This commit modifies the temperature sampling check to allow a
temperature value of zero. Previously, the check only allowed
positive temperature values, which excluded the valid case of
zero temperature.
The motivation for this is to enable a zero temperature setting which is
also currently causing the following test to fail:
```console
(venv) $ cd tools/server/tests
(venv) $ ./tests.sh unit/test_basic.py::test_load_split_model
```
This commit adds a function to check if a sampler is actually enabled,
meaning that it does not have values that disables its effect. This is
then used by the backend samplers initialization to avoid considering
samplers that are not enabled when determining the split point between
them.
The motivation for this is that this allows the default sampler chain
for `--samplers` to be used and any sampler that is not enabled will not
cause the backend samplers to be skipped.
For example, before this change if the penalties sampler was included in
the samplers list but had default values that disable it, it would cause
the backend samplers to be skipped entirely.
This commit also contains some refactoring to remove some code
duplication.
This commit removes the `--backend-dist` option and instead uses the
configured --samplers chain to determine which samplers run on the
backend.
Backend sampling is still enabled using With `--backend_sampling`, and
the sampler chain, either explictly specified using `--samplers` or the
default, is automatically analyzed to determine which samplers can run
on the backend. The system finds the longest contiguous chain of
backend supported samplers from the start of the sampler sequence.
For example:
* If the chain is `top-k -> temperature -> top-p`, and both `top-k` and
`temperature` are backend-supported but `top-p` is not, then `top-k`
and `temperature` will run on the backend, while `top-p` and
subsequent samplers run on the CPU.
* If all configured samplers are supported, the final distribution
sampling will also happen on the backend, transferring only the
sampled token IDs back to the host.
* If the sampler chain starts with an unsupported sampler (e.g.,
`penalties`), all sampling runs on the CPU. Note that this is
currently the case with the default sampler so to use backend sampling
it is required to specify a sampler chain. See below for an example.
The following shows how llama-cli can be run with backend sampling:
```console
$ llama-cli -m models/Qwen2.5-VL-3B-Instruct-Q8_0.gguf \
--prompt 'What is the capital of Sweden?' \
-n 20 \
-no-cnv \
--verbose-prompt \
-ngl 40 \
--backend-sampling \
--samplers 'top_k;temperature'
```
In this case the all sampling will happen on the backend since both
`top_k` and `temperature` are supported backend samplers.
To enable a partial backend sampling (hybrid sampling), for example
running `top_k` and `temperature` on the backend and `typ_p` on the CPU
the following sampler chain could be specified:
```console
$ llama-cli -m models/Qwen2.5-VL-3B-Instruct-Q8_0.gguf \
--prompt 'What is the capital of Sweden?' \
-n 20 \
-no-cnv \
--verbose-prompt \
-ngl 40 \
--backend-sampling \
--samplers 'top_k;temperature;top_p'
```
If this looks good then I'll follow up with updates the llama-cli and
llama-server documentation to reflect these changes.
This commit refactors the model loading process in common/common.cpp
to enable backend sampler to be configure prior to the llama_context
creation.
The motivation for this change is that just being able to set/reset the
backend samplers after the llama_context has been created will cause a
resize to occur in llama_context::output_reserve which we want to avoid.
This commit updates common/sampler.cpp set_logits and
src/llama-sampling.cpp llama_sampler_sample to always populate the
logits field when backend sampled probabilities are available.
The motivation for this is that this ensure that CPU sampler always have
access to the logits values even when probabilites have been produced by
backend samplers.
* Add files via upload
* fix unit test
* fix crashes for --reasoning-format=none
* Patch buggy official MiniMax-M2 chat template
* add upstream minja fix: https://github.com/ochafik/minja/pull/7
* Fix <think> token not generated
* add test copied from https://github.com/ggml-org/llama.cpp/pull/16946
* cleanup
* Hopes to fix the compilation error on CI
* Delete chat template patching since it’s fixed by upstream Minja
* Remove undeeded Minimax-M2 template patch
https://github.com/ochafik/minja/pull/7#issuecomment-3480356100
* Add proper handling of optional parameters with test
merged tests from: 23d4bb75c4
* Fix making all tool parameters optional
* Move xml tool parser to separate file
* cleanup & add tests for GLM4.5
* add streaming tests & enhancement & cleanups
Add streaming test for both GLM 4.5 and minimax-m2.
Cleanup for preserved_tokens.
Cleanup for grammar rule name.
Enhance the parser's stability.
* cleanup & add support for Kimi-K2 Qwen3-Coder Apriel-1.5 Xiaomi-MiMo
* apply suggestions from reviewers
* fix a misuse for data.grammar_lazy
* fix grammar when tool have no argument
* Fix `no triggers set for lazy grammar!` for GLM4.5/4.6. Insert additional stops for Kimi-K2
* update chat.cpp
* fix grammar for GLM 4.5/4.6
* Try fix Jinja template for GLM
* Try fix GLM-4.6.jinja
* Update common/chat-parser-xml-toolcall.cpp
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
* Update tests/test-chat.cpp
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
* improve chat template for GLM, rename Kimi-K2 template to Kimi-K2-Thinking
* Improve Kimi-K2 chat template
* Fix unit test
* Fix "Invalid tool call arguments passed" in a rare case.
In a rare case, the model may emit a raw string that begins with a valid JSON string. This commit adds unit tests to cover that scenario and fixes the regression introduced during the Kimi-K2 adaptation.
---------
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
This commit precomputes and caches the full-vocab token id list in
llama_context's constructor, so llama_get_backend_sampled_token_ids_ith
always returns a valid pointer.
The motivation for this is that this enables both common/sampling.cpp
and src/llama-sampling.cpp can simplify their logic.
Not all backends samplers that process logits need to set the
sampled_tokens_id as they may not change the order of the logits, for
example the temperature sampler only scales the logits but does not
change their order. Simliar the logit bias sampler only adds bias to
specific token ids but does not change the order of the logits. In
these cases there will not be a device to host copy of the sampled
token ids, and this is the use case where having this precomputed
list is useful.
This commit adds support for performing sampling operations on the
backend (e.g. GPU) as part of the model computation graph.
The motivation for this feature is to enable sampling to be performed
directly on the backend as part of the computation graph being executed,
allowing for some or all of the sampling to be done on the backend.
For example, the backend sampler chain might select/sample a token
directly in which case only the sampled token needs to be transferred
from device memory to host memory.
It is also possible for the backend samplers to perform filtering of
the logits, or compute and filter the probability distribution, in
which case only the filtered logits or probabilites need to be
transferred back to system memory for further processing by CPU
samplers.
Currently the backend sampling works in a similar manner to how
pooling works, it is a function that is called by build_graph and the
sampler operations become part of the models computation graph.
* arg: add --cache-list argument to list cached models
* new manifest naming format
* improve naming
* Update common/arg.cpp
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* common: move download functions to download.(cpp|h)
* rm unused includes
* minor cleanup
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* Add --embd-output-format raw for plain numeric embedding output
This new option outputs embeddings as raw space-separated floats, without JSON or 'embedding N:' prefixes. Useful for downstream vector pipelines and scripting.
* Move raw output handling into format handling section
* Move raw output handling into else-if block with other format handlers
* Use LOG instead of printf for raw embedding output
* docs: document 'raw' embedding output format in arg.cpp and README
* Update the docs on -t --threads
* Revert "Update the docs on -t --threads"
This reverts commit eba97345e2.
* docs: clarify -t/--threads parameter uses CPU threads and defaults to all available cores
* Update arg.cpp
* minor : code style
* server : fix prompt similarity calculation
* server : initial host-memory prompt caching
* cont
* server : refactor
* cont
* cont : make the server task of the slot const
* cont : minor [no ci]
* server : cache prompts and checkpoints only for completion tasks
* server : improve prompt caching logic
* cont : fix check for number of cached prompts [no ci]
* server : improve caching logic, add -cram CLI arg
* server : print prompt mismatch info
* cont : better naming [no ci]
* server : improve prompt cache loading logic
* server : add option to debug the slot contents (#16482)
* server : add option to debug the slot contents
* Update tools/server/server.cpp
---------
Co-authored-by: Xuan-Son Nguyen <son@huggingface.co>
* server : add option to disable prompt cache
---------
Co-authored-by: Xuan-Son Nguyen <son@huggingface.co>
* refactor: unify reasoning handling via backend reasoning_content, drop frontend tag parsing
- Updated the chat message component to surface backend-supplied reasoning via message.thinking while showing the raw assistant content without inline tag scrubbing
- Simplified chat streaming to append content chunks directly, stream reasoning into the message model, and persist any partial reasoning when generation stops
- Refactored the chat service SSE handler to rely on server-provided reasoning_content, removing legacy <think> parsing logic
- Refreshed Storybook data and streaming flows to populate the thinking field explicitly for static and streaming assistant messages
* refactor: implement streaming-aware universal reasoning parser
Remove the streaming mode limitation from --reasoning-format by refactoring
try_parse_reasoning() to handle incremental parsing of <think> tags across
all formats.
- Rework try_parse_reasoning() to track whitespace, partial tags, and
multiple reasoning segments, allowing proper separation of reasoning_content
and content in streaming mode
- Parse reasoning tags before tool call handling in content-only and Llama 3.x
formats to ensure inline <think> blocks are captured correctly
- Change default reasoning_format from 'auto' to 'deepseek' for consistent
behavior
- Add 'deepseek-legacy' option to preserve old inline behavior when needed
- Update CLI help and documentation to reflect streaming support
- Add parser tests for inline <think>...</think> segments
The parser now continues processing content after </think> closes instead of
stopping, enabling proper message.reasoning_content and message.content
separation in both streaming and non-streaming modes.
Fixes the issue where streaming responses would dump everything (including
post-thinking content) into reasoning_content while leaving content empty.
* refactor: address review feedback from allozaur
- Passed the assistant message content directly to ChatMessageAssistant to drop the redundant derived state in the chat message component
- Simplified chat streaming updates by removing unused partial-thinking handling and persisting partial responses straight from currentResponse
- Refreshed the ChatMessage stories to cover standard and reasoning scenarios without the old THINK-tag parsing examples
Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
* refactor: restore forced reasoning prefix to pass test-chat ([chat] All tests passed)
- store the exact sequence seen on input when 'thinking_forced_open' enforces a reasoning block
- inject this prefix before the first accumulated segment in 'reasoning_content', then clear it to avoid duplication
- repeat the capture on every new 'start_think' detection to properly handle partial/streaming flows
* refactor: address review feedback from ngxson
* debug: say goodbye to curl -N, hello one-click raw stream
- adds a new checkbox in the WebUI to display raw LLM output without backend parsing or frontend Markdown rendering
* Update tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessage.svelte
Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
* webui: add Storybook example for raw LLM output and scope reasoning format toggle per story
- Added a Storybook example that showcases the chat message component in raw LLM output mode with the provided trace sample
- Updated every ChatMessage story to toggle the disableReasoningFormat setting so the raw-output rendering remains scoped to its own example
* npm run format
* chat-parser: address review feedback from ngxson
Co-authored-by: Xuan Son Nguyen <thichthat@gmail.com>
---------
Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
Co-authored-by: Xuan Son Nguyen <thichthat@gmail.com>
* implement --no-host to disable host buffer
* fix equal_mparams
* move no-host enumeration order together with other model params
---------
Co-authored-by: slaren <slarengh@gmail.com>
* rpc : add support for multiple devices
Allow rpc-server to expose multiple devices from a single endpoint.
Change RPC protocol to include device identifier where needed.
closes: #15210
* fixes
* use ggml_backend_reg_t
* address review comments
* fix llama-bench backend report
* address review comments, change device naming
* fix cmd order
* feat: added a dedicated Magistral chat format that preserves [THINK] spans, parses reasoning before tool calls
* feat: new flow in the chat template test suite for Magistral
* initial commit for branch 3
* generalize `swa_checkpoint` to `ctx_checkpoint`
this extends `llama-server`'s SWA checkpointing logic to include
hybrid/recurrent models such as Jamba, Granite
* oops
* disable debug prints
* keep backwards compat with `--swa-checkpoints`
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* update prompt re-processing message
* fix off-by-one error per GG
* keep `seq_rm` log per GG
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* server : fix checkpoint logic to support recurrent caches
* server : cleanup and fixes
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* First attempt
* No permute during convert (fixes qk tensors), proper norm application.
* RoPE = NeoX
* Coherence!
* Migrate xielu params from tensors to hyperparameters
* Simple CUDA kernel
* Revert stupid LLM refactorings
* Chat template support
* configchecker / flake8 errors
* Reorder unary.cu
* I do conclude that LLMs are, in fact, stupid.
* Fix after merge
* Final newline
* Make xIELU an UNARY_OP
* Final newline
* Correctly account for parameter shift
* Argh.
* Update ggml/src/ggml-cpu/unary-ops.cpp
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* Refactor: remove unused methods, inline and factorize softplus, add const modifiers
* Revert CUDA changes, implement xIELU as a separate OP
* Pesky newline
* Add float2half / half2float for F16 inputs/outputs
* CUDA variants, attempt 2
* Actually, attempt 3
* Update ggml/src/ggml-cuda/unary.cu
Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
* Missing convert header
* Proper formula and reference for xIELU in the comments.
* Modify unary-ops.cpp to add the functor-based logic besides the template system to retain optimizations
* Apply suggestions from code review
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
* Add tensor mappings for Apertus to global list instead
* Fix lazy on scalars
* Update ggml/src/ggml-cuda/unary.cu
Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
* Add comment about the constraints on positive/negative alpha
* Change `softplus` to `ggml_softplus`
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
* common: introduce http.h for httplib-based client
This change moves cpp-httplib based URL parsing and client setup into
a new header `common/http.h`, and integrates it in `arg.cpp` and `run.cpp`.
It is an iteration towards removing libcurl, while intentionally
minimizing changes to existing code to guarantee the same behavior when
`LLAMA_CURL` is used.
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
* tools : add missing WIN32_LEAN_AND_MEAN
Signed-off-by: Adrien Gallouët <adrien@gallouet.fr>
---------
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
Signed-off-by: Adrien Gallouët <adrien@gallouet.fr>
`test-arg-parser.cpp` has been updated to work consistently,
regardless of whether CURL or SSL support is available, and
now always points to `ggml.ai`.
The previous timeout test has been removed, but it can be
added back by providing a dedicated URL under `ggml.ai`.
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
The JSON parser is temporarily kept only for backward compatibility. It
reads the etag from old .json files to prevent unnecessary re-downloads
for existing users.
This legacy code can be removed in a future version.
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
* common : fix reasoning before forced tool call via tool_choice = required
* common : improve reasoning and commentary handling when tool_choice is required
(cherry picked from commit c746984956d6882c2de73d53ae2bb3bdf889e475)
---------
Co-authored-by: Alde Rojas <hello@alde.dev>
Introduce a new `LLAMA_OPENSSL` option, enabled by default.
This preserves the previous default (libcurl first, OpenSSL as fallback),
while allowing OpenSSL to be disabled if desired.
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
* devops: move s390x and ppc64le ci build
we have access to ubuntu-24.04-s390x and ppc64le images now
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* devops: disable ppc64le for now since they have compiler errors
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* devops: stop warnings as errors
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* devops: switch to non-macro flag
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* devops: going the llama macro route
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* devops: add big-endian gguf test models
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* devops: disable ppc64le to test s390x, check test build
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* devops: dup .gguf.inp files for big-endian tests
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* devops: dup .gguf.out files for big-endian too
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* devops: add python setup and endian byteswap
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* devops: pooring thing does not have s390x python3
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* devops: add missing rust compiler for s390x
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* devops: try rust actions runner
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* Revert "devops: try rust actions runner"
This reverts commit 3f8db04356033d6c1d7eccc75ca396bc5298250c.
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* devops: try a different path for rust
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* devops: dump home directory and user info
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* devops: install gguf-py only
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* devops: missed relative path
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* devops: remove big-endian files since local swapping is working
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* devops: revert test-tokenizer-0 cmakelists
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* Fix unicode flags conversion from and to uint16_t
Bitfields are allocated in different order on s390x
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* Simplify byteswap command
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* Add byteswapping and git-lfs for test-tokenizers-ggml-vocabs
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* Fix endianness detection in vocab loader
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* Disable test-thread-safety on s390x
In this test a model is downloaded,
then immediately loaded to check if more downloads are needed,
and then used for test.
There is no clean way to separate all those steps
to add byteswapping between them, so just skip this test.
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* Fix q8_0 test in test-quantize-fns
vec_signed uses unexpected rounding mode.
Explicitly use different rounding function.
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* devops: add big-endian stories260K
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* devops: add s390x test-eval-callback
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* devops: fix test does not exist
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* devops: fix model not found llama-eval-callback
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* Fix q3_K dot product error in test-quantize-fns on s390x
Array q8bytes had only 4 elements allocated, but 8 elements accessed.
This lead to write out of bounds and later read of overwritten values out of bounds
and incorrect result.
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* devops: re-enable ppc64le for testing
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* devops: activate test-thread-safety for s390x
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* devops: disable ppc64le tests
for some reason it keeps failing test-thread-safety tests and I do not
have a machine that is able to replicate the tests.
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* devops: LLAMA_FATAL_WARNINGS=ON
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* Correct repository URL for s390x for test-thread-safety model
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* Fix fs_get_cache_directory
Ensure it works even if both XDG_CACHE_HOME and HOME are unset.
This might happen in containers.
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* Re-enable CI for ppc64le
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* Fortify ggml_rope_impl
Only memcpy data from sections argument if it's non-NULL.
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* Add TODO in struct unicode_cpt_flags to reimplement it in endian-independent way
* Update URL for big-endian model
* Update .github/workflows/build.yml
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
* Update remaining mentions of BE models to ggml-org/models repo
---------
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
Co-authored-by: Aleksei Nikiforov <aleksei.nikiforov@linux.ibm.com>
Co-authored-by: Aleksei Nikiforov <103434461+AlekseiNikiforovIBM@users.noreply.github.com>
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
* vendor : update httplib
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
* common : use cpp-httplib as a cURL alternative for downloads
The existing cURL implementation is intentionally left untouched to
prevent any regressions and to allow for safe, side-by-side testing by
toggling the `LLAMA_CURL` CMake option.
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
* ggml : Bump to Windows 10
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
---------
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
* common : use the json parser
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
* common : enable --offline mode without CURL support
This change refactors the download logic to properly support offline mode
even when the project is built without CURL.
Without this commit, using `--offline` would give the following error:
error: built without CURL, cannot download model from the internet
even if all the files are already cached.
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
---------
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
These two local variables 'arg' and 'arg_prefix' have been overriden by:
1. for (const auto & arg : opt.args)
2. for (int i = 1; i < argc; i++) {
const std::string arg_prefix = "--";
std::string arg = argv[i];
hksdpc255
Georgi Gerganov
Sigbjørn Skjæret
Oliver Simons
Daniel Bevenius
Adrien Gallouët
Aldehir Rojas
Reese Levine
Xuan-Son Nguyen
Chad Voegele
Aaron Teo
ddh0
Igor Smirnov
DAN™
Shagun Bera
Sam Malayek
Yuri Khrustalev
Olivier Chafik
takasurazeem
Pascal
Gadflyii
Radoslav Gerganov
ddh0
Piotr Wilkin (ilintar)
Adrien Gallouët
crat0z
Douglas Hanley
Johannes Gäßler
Uilian Ries
Haiyue Wang