Commit Graph

578 Commits

Author SHA1 Message Date
Adrien Gallouët 3c62aed89f
common : simplify etag tracking by removing json (#16342)
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>
2025-09-30 10:36:33 +03:00
crat0z bd0af02fc9
common : fix reasoning before forced tool call via tool_choice = required (#16264)
* 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>
2025-09-28 21:13:50 +03:00
Adrien Gallouët 234e2ff8ed
server : remove old LLAMA_SERVER_SSL (#16290)
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
2025-09-27 19:17:08 +03:00
Adrien Gallouët ace6a54565
build : add LLAMA_OPENSSL option (#16287)
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>
2025-09-27 12:12:46 +03:00
Aaron Teo 624207e676
devops: add s390x & ppc64le CI (#15925)
* 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>
2025-09-27 02:03:33 +08:00
Adrien Gallouët b995a10760
common : use cpp-httplib as a cURL alternative for downloads (#16185)
* 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>
2025-09-26 14:12:19 +03:00
Sigbjørn Skjæret 835b2b915c
model : add GroveMoE support (#15510)
* add GroveMoE support

* remove constexpr that fails on certain compilers

* revert crude scalar div implementation, use cast

* build_attn_inp_kv_unified -> build_attn_inp_kv

* fix build_attn

* re-apply ffn_exps regex changes
2025-09-25 19:50:28 +02:00
Douglas Hanley b5bd037832
llama : add support for qwen3 reranker (#15824) 2025-09-25 11:53:09 +03:00
Johannes Gäßler e789095502
llama: print memory breakdown on exit (#15860)
* llama: print memory breakdown on exit
2025-09-24 16:53:48 +02:00
Uilian Ries 152729f884
common : add missing chrono header for common.cpp (#16211)
Signed-off-by: Uilian Ries <uilianries@gmail.com>
2025-09-24 09:53:47 +03:00
Adrien Gallouët 37a23c17bd
common : enable `--offline` mode without curl support (#16137)
* 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>
2025-09-22 15:13:51 +03:00
Haiyue Wang d05affbab7
common : remove unused local variables (#16140)
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];
2025-09-22 11:48:42 +03:00
shun095 f432d8d83e
chat: Fix streaming parser for granite models (#15682)
* fix(chat): fix streaming parser for granite models

* tests: add test cases for Granite models chat parser
2025-09-19 09:57:30 -06:00
Xuan-Son Nguyen 4b8560ab56
chat : fix build on arm64 (#16101) 2025-09-19 13:02:51 +07:00
Eric Curtin 4ca088b036
Add resumable downloads for llama-server model loading (#15963)
- Implement resumable downloads in common_download_file_single function
- Add detection of partial download files (.downloadInProgress)
- Check server support for HTTP Range requests via Accept-Ranges header
- Implement HTTP Range request with "bytes=<start>-" header
- Open files in append mode when resuming vs create mode for new downloads

Signed-off-by: Eric Curtin <eric.curtin@docker.com>
2025-09-18 16:22:50 +01:00
David Ribeiro Alves cd08fc3ecc
common : Fix corrupted memory error on json grammar initialization (#16038)
Initalizing RESERVED_NAME in is_reserved_name() is not thread
safe and leads to corrupted memory when used from multiple threads
as can be seen in the asan trace below. This fixes the initialization
to make it thread-safe.

    #0 0x000100abd018 in std::__1::pair<std::__1::__hash_iterator<std::__1::__hash_node<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, void*>*>, bool> std::__1::__hash_table<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, std::__1::hash<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>>, std::__1::equal_to<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>>, std::__1::allocator<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>>>::__emplace_unique_key_args<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>> const&>(std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>> const&, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>> const&) __hash_table:1565
    #1 0x000100ab0320 in SchemaConverter::visit(nlohmann::json_abi_v3_12_0::basic_json<nlohmann::json_abi_v3_12_0::ordered_map, std::__1::vector, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, bool, long long, unsigned long long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector<unsigned char, std::__1::allocator<unsigned char>>, void> const&, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>> const&) json-schema-to-grammar.cpp:802
    #2 0x000100aafc48 in std::__1::__function::__func<build_grammar(std::__1::function<void (common_grammar_builder const&)> const&, common_grammar_options const&)::$_2, std::__1::allocator<build_grammar(std::__1::function<void (common_grammar_builder const&)> const&, common_grammar_options const&)::$_2>, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>> (std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>> const&, nlohmann::json_abi_v3_12_0::basic_json<nlohmann::json_abi_v3_12_0::ordered_map, std::__1::vector, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, bool, long long, unsigned long long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector<unsigned char, std::__1::allocator<unsigned char>>, void> const&)>::operator()(std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>> const&, nlohmann::json_abi_v3_12_0::basic_json<nlohmann::json_abi_v3_12_0::ordered_map, std::__1::vector, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, bool, long long, unsigned long long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector<unsigned char, std::__1::allocator<unsigned char>>, void> const&) function.h:319
    #3 0x000100a2c938 in std::__1::__function::__func<common_chat_params_init_llama_3_x(minja::chat_template const&, templates_params const&, bool)::$_0::operator()(common_grammar_builder const&) const::'lambda'(nlohmann::json_abi_v3_12_0::basic_json<nlohmann::json_abi_v3_12_0::ordered_map, std::__1::vector, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, bool, long long, unsigned long long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector<unsigned char, std::__1::allocator<unsigned char>>, void> const&), std::__1::allocator<common_chat_params_init_llama_3_x(minja::chat_template const&, templates_params const&, bool)::$_0::operator()(common_grammar_builder const&) const::'lambda'(nlohmann::json_abi_v3_12_0::basic_json<nlohmann::json_abi_v3_12_0::ordered_map, std::__1::vector, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, bool, long long, unsigned long long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector<unsigned char, std::__1::allocator<unsigned char>>, void> const&)>, void (nlohmann::json_abi_v3_12_0::basic_json<nlohmann::json_abi_v3_12_0::ordered_map, std::__1::vector, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, bool, long long, unsigned long long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector<unsigned char, std::__1::allocator<unsigned char>>, void> const&)>::operator()(nlohmann::json_abi_v3_12_0::basic_json<nlohmann::json_abi_v3_12_0::ordered_map, std::__1::vector, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, bool, long long, unsigned long long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector<unsigned char, std::__1::allocator<unsigned char>>, void> const&) function.h:319
    #4 0x000100a139f8 in foreach_function(nlohmann::json_abi_v3_12_0::basic_json<nlohmann::json_abi_v3_12_0::ordered_map, std::__1::vector, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, bool, long long, unsigned long long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector<unsigned char, std::__1::allocator<unsigned char>>, void> const&, std::__1::function<void (nlohmann::json_abi_v3_12_0::basic_json<nlohmann::json_abi_v3_12_0::ordered_map, std::__1::vector, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, bool, long long, unsigned long long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector<unsigned char, std::__1::allocator<unsigned char>>, void> const&)> const&) chat.cpp:762
    #5 0x000100a2a7f4 in std::__1::__function::__func<common_chat_params_init_llama_3_x(minja::chat_template const&, templates_params const&, bool)::$_0, std::__1::allocator<common_chat_params_init_llama_3_x(minja::chat_template const&, templates_params const&, bool)::$_0>, void (common_grammar_builder const&)>::operator()(common_grammar_builder const&) function.h:319
    #6 0x000100aa98f4 in build_grammar(std::__1::function<void (common_grammar_builder const&)> const&, common_grammar_options const&) json-schema-to-grammar.cpp:982
    #7 0x0001009c9314 in common_chat_params_init_llama_3_x(minja::chat_template const&, templates_params const&, bool) chat.cpp:1110
    #8 0x0001009b8afc in common_chat_templates_apply_jinja(common_chat_templates const*, common_chat_templates_inputs const&) chat.cpp:1992
    #9 0x0001009b533c in common_chat_templates_apply(common_chat_templates const*, common_chat_templates_inputs const&) chat.cpp:2074
    #10 0x000100810120 in llamacpp_apply_chat_template+0x724 (predict_oai-98384e17fb94e863:arm64+0x100090120)
    ...

==45482==Register values:
 x[0] = 0x00006020004147f8   x[1] = 0x00006080000013c8   x[2] = 0x0000000000000000   x[3] = 0x0000604006289738
 x[4] = 0x0000000000000002   x[5] = 0x0000000000000001   x[6] = 0x04034000004b4000   x[7] = 0x0000000000000001
 x[8] = 0xbebebebebebebebe   x[9] = 0x17d7d7d7d7d7d7d7  x[10] = 0x00000c04000828ff  x[11] = 0x0000000000000001
x[12] = 0x000000002018d383  x[13] = 0x0000000000000000  x[14] = 0xfa0000000000fafa  x[15] = 0x000010700001ffff
x[16] = 0x000000019dc012c0  x[17] = 0x00000001021284f8  x[18] = 0x0000000000000000  x[19] = 0x00000001700acdc0
x[20] = 0x0000000000000002  x[21] = 0x000000002018d384  x[22] = 0x16dd16fd2e731151  x[23] = 0x0000007000020000
x[24] = 0x0000000100c69c08  x[25] = 0x0000000100c69c20  x[26] = 0x00006080000013c7  x[27] = 0x0000000100c69c00
x[28] = 0x00000001700acd60     fp = 0x00000001700aceb0     lr = 0x0000000100abce30     sp = 0x00000001700acd60
AddressSanitizer can not provide additional info.
SUMMARY: AddressSanitizer: SEGV __hash_table:1565 in std::__1::pair<std::__1::__hash_iterator<std::__1::__hash_node<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, void*>*>, bool> std::__1::__hash_table<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, std::__1::hash<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>>, std::__1::equal_to<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>>, std::__1::allocator<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>>>::__emplace_unique_key_args<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>> const&>(std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>> const&, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>> const&)
Thread T5 created by T0 here:
    #0 0x0001020b99d4 in pthread_create+0x5c (libclang_rt.asan_osx_dynamic.dylib:arm64e+0x359d4)
    #1 0x000100873910 in std::sys::pal::unix:🧵:Thread:🆕:h77254fdd87a28e05+0x118 (predict_oai-98384e17fb94e863:arm64+0x1000f3910)
    #2 0x0001007c7a1c in test::run_test::haeb3c2bcd5ed6cf6+0x76c (predict_oai-98384e17fb94e863:arm64+0x100047a1c)
    #3 0x0001007aedb0 in test::console::run_tests_console::he9d142d704f3a986+0x149c (predict_oai-98384e17fb94e863:arm64+0x10002edb0)
    #4 0x0001007c5758 in test::test_main::hf86a5e20735245b9+0x118 (predict_oai-98384e17fb94e863:arm64+0x100045758)
    #5 0x0001007c5da0 in test::test_main_static::h61ee9c8fd30abca0+0x54 (predict_oai-98384e17fb94e863:arm64+0x100045da0)
    ...

==45482==ABORTING
2025-09-17 11:08:02 +03:00
jacekpoplawski 8ff206097c
llama-bench: add --n-cpu-moe support (#15952)
* llama-bench: add --n-cpu-moe support

Support --n-cpu-moe in llama-bench the same way it is supported by
llama-server.
2025-09-16 16:17:08 +02:00
Aman Gupta 6d758839ff
Add LLaDA-7b-MoE diffusion model (#16003) 2025-09-16 10:38:28 +08:00
Sigbjørn Skjæret b8e09f08b9
model : add grok-2 support (#15539)
* add grok-2 support

* type fix

* type fix

* type fix

* "fix" vocab for invalid sequences

* fix expert tensor mapping and spaces in vocab

* add chat template

* fix norm tensor mapping

* rename layer_out_norm to ffn_post_norm

* ensure ffn_post_norm is mapped

* fix experts merging

* remove erroneous FFN_GATE entry

* concatenate split tensors and add more metadata

* process all expert layers and try cat instead of hstack

* add support for community BPE vocab

* fix expert feed forward length and ffn_down concat

* commit this too

* add ffn_up/gate/down, unsure if sequence is right

* add ffn_gate/down/up to tensor names

* correct residual moe (still not working)

* mess--

* fix embedding scale being applied twice

* add built in chat template

* change beta fast for grok if default value

* remove spm vocab in favor of community bpe vocab

* change attention temp length metadata type to integer

* update attention temp length metadata

* remove comment

* replace M_SQRT2 with std::sqrt(2)

* add yarn metadata, move defaults to hparams
2025-09-14 23:00:59 +02:00
Diego Devesa 50f4281a6f
llama : allow using iGPUs with --device (#15951)
* llama : allow using iGPUs with --device

* mtmd : allow iGPU

* rpc-server : allow iGPU
2025-09-13 16:49:49 +02:00
Eric Curtin 4bf5549269
Add docker protocol support for llama-server model loading (#15790)
To pull and run models via: llama-server -dr gemma3
Add some validators and sanitizers for Docker Model urls and metadata

Signed-off-by: Eric Curtin <eric.curtin@docker.com>
2025-09-12 16:31:50 +01:00
Georgi Gerganov f088b6a84f
server : adjust prompt similarity thold + add logs (#15913)
ggml-ci
2025-09-12 17:02:55 +03:00
Aldehir Rojas 7057faf64b
json : support `enum` values within `allOf` (#15830) 2025-09-08 16:14:32 -05:00
Jesse 88021565f0
chat : Deepseek V3.1 reasoning and tool calling support (OpenAI Style) (#15533)
* Add DeepSeek V3.1 thinking mode support

- Added COMMON_CHAT_FORMAT_DEEPSEEK_V3_1 enum value
- Created common_chat_params_init_deepseek_v3_1() function (currently uses R1 implementation)
- Created common_chat_parse_deepseek_v3_1() function that handles V3.1 thinking format:
  - Extracts reasoning content before '</think>' tag into reasoning_content
  - Extracts regular content after '</think>' tag into content
  - No opening '<think>' tag in V3.1 format
- Added detection logic for V3.1 templates based on pattern: 'message['prefix'] is defined and message['prefix'] and thinking'
- Added V3.1 case to parsing switch statement

This addresses the issue where V3.1 outputs reasoning content followed by '</think>' and then regular content without the opening '<think>' tag.

* Another attempt by V3.1 non-thinking

* Fix test, but it's not asserting anything.

* Ignore vim swap files in tests dir

* Update the test

* Try using try_find_literal instead of regex

* passing test

* Revert "Try using try_find_literal instead of regex"

This reverts commit c50d887ec2.

* Remove unnecessary change

* Remove comment

* Add code to handle non-thinking mode.

* Try to set message['prefix'] when thinking is enabled.

* This fixes reasoning, but breaks normal content. We need state in the
chat parser.

* DeepSeek V3.1 thinking is now the default. Disable with `--reasoning-budget 0`.

* Simplify (DeepSeek V3.1 reasoning)

* Fix sign inversion bug

* Add some tool calling code (not working).

* Tool calls working in non-reasoning mode.

* Attempt a unit test for tool call parsing.

* Passing test

* Add tests for both happy path and broken fenced DeepSeek V3.1 tool call variants.

* Passing DeepSeek V3.1 tool call tests, but model is not working.

* Revert assistance response prefill change. Not my monkeys.

* Add fenced_thinking unit test variant. Passes, but thinking tool calling
still isn't working for some reason.

* Tests pass in reasoning mode. Also e2e tool test passes.

* Make a copy of the parse_json_tool_calls function for deepseek-v3.1 so
as to not accidentally introduce regressions.

* Fix thinking_forced_open logic. tool calling broken. Need to add another
test case.

* That's what I get for cargo culting a newline.

* Add multi tool call test for deepseek v3.1 non-reasoning

* Move test, remove .gitignore change

* Place deepseek-v3.1 reasoning test directly into existing reasoning
function per CISC's request.

* Address whitespace CI failure.

* Merge two assert_equals per CISC's request.

* Add DeepSeek-V3.1 tests to tests/test-chat.cpp per CISC's request.

* Merge deepseek V3.1 and regular parse_json_tool_calls() function
behaviors by adding optional update_cursor argument.

* Update tests/test-chat-parser.cpp

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

* Update tests/test-chat-parser.cpp

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

* Update tests/test-chat-parser.cpp

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

* Update tests/test-chat-parser.cpp

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

* Update tests/test-chat-parser.cpp

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

* Update tests/test-chat-parser.cpp

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

* Update tests/test-chat-parser.cpp

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

* Update tests/test-chat-parser.cpp

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

* Update tests/test-chat-parser.cpp

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

* DeepSeek V3.1 fix reasoning_format none

* Strip grammar down to strictly what we expect based on model card. Throw
out parts we cargo culted from R1 that don't make sense.

* Update tests/test-chat-parser.cpp

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

* DeepSeek V3.1 - Add edge case where thinking is forced open, there is
tool calling in the reasoning content, but then the model just stops the
output without closing the </think> tag, so it's not a partial. In this
case, use the tool call in the reasoning content.

* DeepSeek V3.1 - simplify update_cursor

* Update common/chat.cpp

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

* Update common/chat.cpp

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

* Update common/chat.cpp

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

* Fix indent

---------

Co-authored-by: openhands <openhands@all-hands.dev>
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
2025-09-08 16:59:48 +02:00
Gabe Goodhart 5fac79cbc7
Thinking model disabled assistant prefill (#15404)
* feat: Set enable_thinking IFF not disabled and supported

Branch: gabe-l-hart/thinking-model-disabled-agent-prefill

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* fix: Fix inverted logic condition for prefill error

Branch: gabe-l-hart/thinking-model-disabled-agent-prefill

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* fix: Always parse the enable_thinking kwarg to overwrite the default value

From what I can tell, this started as a Qwen3-specific keyword, but from
the use in `chat.cpp` translates this inputs.enable_thinking to the right
thinking kwarg for the given model, this is now more of a standardized
kwarg, so it should always override the default value when sent as part of
the chat_template_kwargs field in the API.

Branch: gabe-l-hart/thinking-model-disabled-agent-prefill

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* fix: Don't limit tempalte expansion check to jinja

With the use_jinja check, non-jinja models would enable thinking and always
fail assistant prefill

Branch: gabe-l-hart/thinking-model-disabled-agent-prefill

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* feat: Add the error text to json type errors in json_value

Branch: gabe-l-hart/thinking-model-disabled-agent-prefill

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* feat: Explicitly reject string values for "enable_thinking"

There are too many possible "truthy" / "falsy" strings and too many
ambiguous strings that don't have a clear truthy/falsy value, so the
simplest thing to do here is to reject the request. Ideally, this would be
a 422 (Unprocessable Entity), but right now it's coming back as a 500.

Branch: gabe-l-hart/thinking-model-disabled-agent-prefill

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* refactor: Move logic for detecting template enable_thinking support to common

Branch: gabe-l-hart/thinking-model-disabled-agent-prefill

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* fix: Use raw pointer for common chat template function

Branch: gabe-l-hart/thinking-model-disabled-agent-prefill

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

---------

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
2025-09-05 14:31:24 -06:00
Eric Curtin 408ff524b4
Implement --log-colors with always/never/auto (#15792)
With auto by default

Signed-off-by: Eric Curtin <ericcurtin17@gmail.com>
2025-09-05 19:43:59 +01:00
ExtReMLapin 4fd1242bef
chat : fixed crash when Hermes 2 <tool_call> had a newline before it (#15639)
Co-authored-by: CNE Pierre FICHEPOIL <pierre-1.fichepoil@gendarmerie.interieur.gouv.fr>
2025-09-05 01:24:08 +02:00
Piotr Wilkin (ilintar) b2426e469e
chat : nemotron thinking & toolcalling support (#15676)
* feat: nemotron thinking & toolcalling support

* Trailing whitespaces

* Corrected template for Nemotron

* Template and parser fixes

* Final template and grammar changes

* Whitespace

* Always do lazy grammar processing since </think> tag will always be there.

* Allow extra content after toolcall

* Whitespace

* New tests: thinking + tools, tools + content, thinking + tools + content (new!)

* Whitespace

* Remove cURL test script
2025-09-05 01:22:22 +02:00
Eric Curtin badb80cadb
Document the new max GPU layers default in help (#15771)
This is a key change, just letting users know.

Signed-off-by: Eric Curtin <ericcurtin17@gmail.com>
2025-09-04 10:49:44 +01:00
Johannes Gäßler c466abe158
llama: -fa 1/0/-1 aliases for -fa on/off/auto (#15746) 2025-09-02 18:17:26 +02:00
Georgi Gerganov e92d53b29e
sampling : optimize samplers by reusing bucket sort (#15665)
* sampling : optimize sorting using bucket sort in more places

ggml-ci

* sampling : do not sort in dist sampler

ggml-ci

* sampling : avoid heap allocations for sort buffers

ggml-ci

* common : add option to sort sampling candidates by probability

ggml-ci

* sampling : revert the change for preserving sort buffers

* sampling : use std::copy instead of memcpy

* sampling : clarify purpose of partial sort helpers

ggml-ci

* cont : remove wrong comment [no ci]

* common : update comment

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

---------

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
2025-08-31 20:41:02 +03:00
Georgi Gerganov 0d161f021a
server : enable /slots by default and make it secure (#15630)
* server : enable /slots by default and make it secure

ggml-ci

* server : fix tests to pass `--no-slots` when necessary

* server : extend /props with info about enabled endpoints
2025-08-31 20:11:58 +03:00
Johannes Gäßler e81b8e4b7f
llama: use FA + max. GPU layers by default (#15434)
* llama: use max. GPU layers by default, auto -fa

* ggml-backend: abort instead of segfault
2025-08-30 16:32:10 +02:00
Piotr Wilkin (ilintar) 60e5eee31f
chat : Seed OSS thinking + tool call support (#15552)
* Reasoning and tool-calling support for Seed OSS

* Fix grammar and partial parsing

* Whitespace

* New chat template

* Update common/chat.cpp

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

* Update common/chat.cpp

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

* Remove unused 'purge_healing_marker' helper

---------

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
2025-08-29 14:53:41 +02:00
Sigbjørn Skjæret 84ab83cc0b
model : jina-embeddings-v3 support (#13693)
* initial jina-embeddings-v3 support

* initial jina-embeddings-v3 support

* initial jina-embeddings-v3 support

* fix vocab parsing with only tokenizer.json

* set mask token lstrip attribute

* additional unk_token_id fallback just in case [no ci]

* revert vocab_size() change [no ci]

* merge tensor loading into general bert

* rope

* add lora embedding and loading (non-functional)

* export separate lora ggufs instead

* add adapter metadata api

* use std::string

* convert_hf_to_lora compatibility

* fix assert

* apply suggestions from review

* apply suggestion from review
2025-08-28 15:49:50 +02:00
Georgi Gerganov da54f9f1a2
presets : add qwen3-30B-a3b FIM (#15616) 2025-08-27 15:48:07 +03:00
Daniel Bevenius fcca2182a1
common : add -m to bash completion for --model [no ci] (#15591)
This commit updates the bash completion script to include the -m
short option for the --model argument.

The motivation for this is that currently tab completion only works the
full --model option, and it is nice to have it work for the short option
as well.
2025-08-27 10:28:53 +02:00
Aldehir Rojas 32732f2459
model : gpt-oss add response_format support (#15494) 2025-08-22 11:04:08 -05:00
Georgi Gerganov 9ebebef62f
llama : remove KV cache defragmentation logic (#15473)
ggml-ci
2025-08-22 12:22:13 +03:00
Diego Devesa 54a241f505
sched : fix possible use of wrong ids tensor when offloading moe prompt processing (#15488) 2025-08-21 23:09:32 +02:00
Jie Fu (傅杰) 2f3dbffb17
common : fix incorrect print of non-ascii characters in the logging (#15466)
Signed-off-by: Jie Fu <jiefu@tencent.com>
2025-08-21 11:54:34 +03:00
Daniel Bevenius 657b8a77bd
chat: handle gpt-oss return/end token inconsistency (#15421)
This commit addresses an inconsistency during inference by adding a new
member to the `templates_params` struct to indicate whether the chat is
in inference mode. This allows the gpt-oss specific function
`common_chat_params_init_gpt_oss` to check this flag and the
`add_generation_prompt` flag to determine if it should replace the
`<|return|>` token with the `<|end|>` token in the prompt.

The motivation for this change is to ensure that the formatted prompt of
past messages in `common_chat_format_single` matches the output of the
formatted new message. The issue is that the gpt-oss template returns
different end tags: `<|return|>` when `add_generation_prompt` is false,
and `<|end|>` when `add_generation_prompt` is true. This causes the
substring function to start at an incorrect position, resulting in
tokenization starting with 'tart|>' instead of '<|start|>'.

Resolves: https://github.com/ggml-org/llama.cpp/issues/15417
2025-08-20 14:26:01 +02:00
Jie Fu (傅杰) ec5ab1a36c
common : fix context shift help message (#15448)
Signed-off-by: Jie Fu <jiefu@tencent.com>
2025-08-20 13:33:30 +03:00
Gian-Carlo Pascutto 1e19f5d462
common : Add top-nsigma sampler to help globally (#15428)
Fixes #15423.
2025-08-19 19:58:14 +03:00
Georgi Gerganov d2fcd91cf9
server : disable context shift by default (#15416)
* server : disable context shift by default

ggml-ci

* server : make scopr of test parameters local
2025-08-19 16:46:37 +03:00
Xuan-Son Nguyen e9288e8869
chat : clarify the meaning of reasoning_format (#15408)
* chat : clarify the meaning of reasoning_format

* add link to this PR
2025-08-19 10:29:36 +02:00
Daniel Bevenius 5e6229a840
common : fix double bos, use common_chat_templates for add_bos and add_eos (#15326)
This commit updates common_chat_templates_apply_jinja to use the
the add_bos and add_eos parameters from the chat template instead of
the inputs.

The motivation for this is that currently if the `add_bos` and `add_eos`
from the input parameters are used it is possible to there will be a
missmatch between the model and the chat template which can lead to the
the removal of duplicate BOS/EOS tokens in chat.cpp `apply` to not
happen leading to two BOS tokens being added to the template.
2025-08-15 19:50:52 +02:00
Diego Devesa f75b830647
chat : include kwargs in template example (#15309) 2025-08-14 10:28:29 -07:00
Aldehir Rojas b204a5a234
gpt-oss: implement harmony parsing (#15181)
* model : add harmony parser for gpt-oss

* gpt-oss : fix grammar trigger from causing empty stack

* gpt-oss: tweak the grammar trigger again

* gpt-oss : add support for recipient in role header

* gpt-oss : fix ungrouped tool calls in grammar

* gpt-oss : loosen function name matching during parse

* gpt-oss : clean up workarounds

* gpt-oss : add template tests

* gpt-oss : simulate thinking and tool call tags

* gpt-oss : undo think tags when reasoning_format is none

* gpt-oss : set special tokens back to user defined

* gpt-oss : update openai-gpt-oss template

* server : filter out harmony thought messages

* gpt-oss : simplify parsing
2025-08-14 17:23:11 +03:00
Georgi Gerganov d32e03f449
server : add SWA checkpoints (#15293)
* server : add SWA checkpoints

ggml-ci

* cont : server clean-up

* server : handle state restore fails

* llama : add extended llama_state_seq_ API

* server : do not make checkpoints if --swa-full

ggml-ci

* llama : remove flags value for NONE

* server : configure number of SWA checkpoints with CLI arg

ggml-ci

* args : fix scope of new argument
2025-08-14 14:59:50 +03:00