7f4fbe5183
llama : allow building all tests on windows when not using shared libs ( #13980 )
...
* llama : allow building all tests on windows when not using shared libraries
* add static windows build to ci
* tests : enable debug logs for test-chat
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com >
2025-06-09 20:03:09 +02:00
07e4351ce6
convert : allow partial update to the chkhsh pre-tokenizer list ( #13847 )
...
* convert : allow partial update to the chkhsh pre-tokenizer list
* code style
* update tokenizer out
* rm inp/out files for models not having gguf
* fixed hash for glm
* skip nomic-bert-moe test
* Update convert_hf_to_gguf_update.py
* fix minerva-7b hash
* rm redundant import
2025-05-30 12:24:37 +02:00
aa50ba462f
tests : improve UGM tokenizer test coverage ( #13773 )
2025-05-25 16:22:29 +02:00
f5cd27b71d
server: streaming of tool calls and thoughts when --jinja is on (#12379 )
...
* add common_json w/ support for truncated json healing
* add common_chat_msg_diff
* partial common_chat_parse
* refactor parser w/ optionals
* server: wire chat diffs in stream mode
* fix trigger of thinking models (must happen after thoughts are closed)
* fix functionary v3.2 raw python!
* rename: common_chat_syntax (now contains format)
* rm common_regex.at_start
* don't return empty <think></think>
* accommodate yet another deepseek r1 distill fantasy syntax (`<｜tool▁calls｜>`)
* fix QwQ 32B tool call parsing after thoughts (hermes2)
* better logs for grammar triggers
* consume spaces after parse_json_tool_calls
* fix required tool calls w/ thinking models that have pre-opened thinking tags
* fix thinking model's initial trigger + test qwq's template
* run most test_tool_call tests in stream + non-stream modes
* make functionary v3.2 parsing more strict (differentiate first match from others)
* send final diff from server, to close off raw python arguments
* support partial content streaming in Generic mode
* tool-call: allow content prelude before hermes2 tool calls (for Qwen2.5)
* Update function-calling.md
* Update tool_bench.py
* chat-parser: remove input from exception (llm output may contain PII)
---------
Co-authored-by: ochafik <ochafik@google.com >
Co-authored-by: Olivier Chafik <ochafik@users.noreply.github.com >
2025-05-25 01:48:08 +01:00
3198405e98
common: add partial regex support (#12808 )
...
* move string_find_partial_stop & string_ends_with to common
* add common_regex (supports partial matches)
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com >
* Update common/regex-partial.cpp
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com >
* Update common/regex-partial.cpp
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com >
* Update common/regex-partial.h
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com >
* partial regex: add missing iterator end checks
* string utils: use string_views
* direct throw to avoid ggml.h include
* regex-partial: replace missed ggml_asserts
---------
Co-authored-by: ochafik <ochafik@google.com >
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com >
2025-05-14 19:50:57 +01:00
27aa259532
mtmd : add C public API ( #13184 )
...
* init
* wip
* working version
* add mtmd::bitmaps
* add test target
* rm redundant define
* test: mtmd_input_chunks_free
* rm outdated comment
* fix merging issue
* explicitly create mtmd::input_chunks
* mtmd_input_chunk_copy
* add clone()
* add const to various places
* add warning about breaking changes
* helper: use mtmd_image_tokens_get_n_pos
2025-05-04 23:43:42 +02:00
9f2da5871f
llama : build windows releases with dl backends ( #13220 )
2025-05-04 14:20:49 +02:00
1d36b3670b
llama : move end-user examples to tools directory ( #13249 )
...
* llama : move end-user examples to tools directory
---------
Co-authored-by: Xuan Son Nguyen <son@huggingface.co >
2025-05-02 20:27:13 +02:00
13b4548877
cmake : do not include ./src as public for libllama ( #13062 )
...
* cmake : do not include ./src as public for libllama
ggml-ci
* cmake : rework tests
ggml-ci
* llguidance : remove unicode include
ggml-ci
* cmake : make c++17 private
ggml-ci
2025-04-24 16:00:10 +03:00
bd3f59f812
cmake : enable curl by default ( #12761 )
...
* cmake : enable curl by default
* no curl if no examples
* fix build
* fix build-linux-cross
* add windows-setup-curl
* fix
* shell
* fix path
* fix windows-latest-cmake*
* run: include_directories
* LLAMA_RUN_EXTRA_LIBS
* sycl: no llama_curl
* no test-arg-parser on windows
* clarification
* try riscv64 / arm64
* windows: include libcurl inside release binary
* add msg
* fix mac / ios / android build
* will this fix xcode?
* try clearing the cache
* add bunch of licenses
* revert clear cache
* fix xcode
* fix xcode (2)
* fix typo
2025-04-07 13:35:19 +02:00
ff227703d6
sampling : support for llguidance grammars ( #10224 )
...
* initial porting of previous LLG patch
* update for new APIs
* build: integrate llguidance as an external project
* use '%llguidance' as marker to enable llg lark syntax
* add some docs
* clarify docs
* code style fixes
* remove llguidance.h from .gitignore
* fix tests when llg is enabled
* pass vocab not model to llama_sampler_init_llg()
* copy test-grammar-integration.cpp to test-llguidance.cpp
* clang fmt
* fix ref-count bug
* build and run test
* gbnf -> lark syntax
* conditionally include llguidance test based on LLAMA_LLGUIDANCE flag
* rename llguidance test file to test-grammar-llguidance.cpp
* add gh action for llg test
* align tests with LLG grammar syntax and JSON Schema spec
* llama_tokenizer() in fact requires valid utf8
* update llg
* format file
* add $LLGUIDANCE_LOG_LEVEL support
* fix whitespace
* fix warning
* include <cmath> for INFINITY
* add final newline
* fail llama_sampler_init_llg() at runtime
* Link gbnf_to_lark.py script; fix links; refer to llg docs for lexemes
* simplify #includes
* improve doc string for LLAMA_LLGUIDANCE
* typo in merge
* bump llguidance to 0.6.12
2025-02-02 09:55:32 +02:00
8b576b6c55
Tool call support (generic + native for Llama, Functionary, Hermes, Mistral, Firefunction, DeepSeek) w/ lazy grammars ( #9639 )
...
---------
Co-authored-by: Xuan Son Nguyen <thichthat@gmail.com >
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com >
Co-authored-by: Xuan Son Nguyen <son@huggingface.co >
2025-01-30 19:13:58 +00:00
4dd34ff831
cmake : add sanitizer flags for llama.cpp ( #11279 )
...
* cmake : add sanitizer flags for llama.cpp
ggml-ci
* tests : fix compile warnings
ggml-ci
* cmake : move sanitizer flags to llama_add_compile_flags
ggml-ci
* cmake : move llama.cpp compile flags to top level lists
ggml-ci
* cmake : apply only sanitizer flags at top level
ggml-ci
* tests : fix gguf context use in same_tensor_data
* gguf-test: tensor data comparison
* dummy : trigger ggml-ci
* unicode : silence gcc warnings
ggml-ci
* ci : use sanitizer builds only in Debug mode
ggml-ci
* cmake : add status messages [no ci]
---------
Co-authored-by: Johannes Gäßler <johannesg@5d6.de >
2025-01-18 16:18:15 +02:00
081b29bd2a
tests: add tests for GGUF ( #10830 )
2024-12-17 19:09:35 +01:00
cb13ef85a4
remove CMAKE_WINDOWS_EXPORT_ALL_SYMBOLS ( #10797 )
...
other windows build fixes
2024-12-12 19:02:49 +01:00
5931c1f233
ggml : add support for dynamic loading of backends ( #10469 )
...
* ggml : add support for dynamic loading of backends
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com >
2024-11-25 15:13:39 +01:00
84274a10c3
tests : remove test-grad0
2024-11-17 08:30:29 +02:00
0226613853
threadpool : skip polling for unused threads ( #9461 )
...
* threadpool: skip polling for unused threads
Currently all threads do N polling rounds even if only 1 thread is active (n_threads_cur == 1).
This commit adds a check to skip the polling for unused threads (ith >= n_threads_cur).
n_threads_cur is now an atomic_int to explicitly tell thread sanitizer that it is written
from one thread and read from other threads (not a race conditions).
* threadpool: further simplify and improve ggml_barrier
Avoid using strict memory order while polling, yet make sure that all threads go through
full memory barrier (memory fence) on ggml_barrier entrace and exit.
* threads: add simple barrier test
This test does lots of small, parallel matmul ops where the barriers in between dominate the overhead.
* threadpool: improve thread sync for new-graphs
Using the same tricks as ggml_barrier. All the polling is done with relaxed memory order
to keep it efficient, once the new graph is detected we do full fence using read-modify-write
with strict memory order.
* threadpool: improve abort handling
Do not use threadpool->ec (exit code) to decide whether to exit the compute loop.
threadpool->ec is not atomic which makes thread-sanitizer rightfully unhappy about it.
Instead introduce atomic threadpool->abort flag used for this. This is consistent with
how we handle threadpool->stop or pause.
While at it add an explicit atomic_load for n_threads_cur for consistency.
* test-barrier: release threadpool before releasing the context
fixes use-after-free detected by gcc thread-sanitizer on x86-64
for some reason llvm sanitizer is not detecting this issue.
2024-09-17 11:19:46 +03:00
6262d13e0b
common : reimplement logging ( #9418 )
...
https://github.com/ggerganov/llama.cpp/pull/9418
2024-09-15 20:46:12 +03:00
1b9ae5189c
common : refactor arg parser ( #9308 )
...
* (wip) argparser v3
* migrated
* add test
* handle env
* fix linux build
* add export-docs example
* fix build (2)
* skip build test-arg-parser on windows
* update server docs
* bring back missing --alias
* bring back --n-predict
* clarify test-arg-parser
* small correction
* add comments
* fix args with 2 values
* refine example-specific args
* no more lamba capture
Co-authored-by: slaren@users.noreply.github.com
* params.sparams
* optimize more
* export-docs --> gen-docs
2024-09-07 20:43:51 +02:00
e093dd2382
tests : re-enable tokenizer tests ( #8611 )
...
* models : remove duplicated gpt-2 vocab
* models : remove old stablelm vocab
* tests : re-enable MPT tokenizer tests
* tests : re-enable DeepSeek tokenizer tests
* cmake : sort
ggml-ci
2024-07-22 13:32:49 +03:00
0c27e6f62e
ggml : fix loongson compile warnings ( #7537 )
...
* ggml : fix loongson compile warnings
ggml-ci
* Fix loongarch quantize test fail.
Fix unexpected error introduced during rebase code.
* tests : disable json test due to lack of python on the CI node
ggml-ci
---------
Co-authored-by: junchao-loongson <zhaojunchao@loongson.cn >
2024-05-31 14:17:10 +03:00
f99e1e456e
llama : lookup word in vocab before doing BPE merges ( #7193 )
...
* fix: llama-3 ignore_merges
* test: add test for llama-3 bpe ignore_merges
* fix: set ignore_merges only for llama-3
* fix: test-tokenizer-1-bpe --ingore-merges detection
* fix: copy to fix fallthrough
* fix: change ignore_merges to bool
* fix: add ignore merges tests to cmake
* llama : alternative merge ignore logic
---------
Co-authored-by: Haoxiang Fei <feihaoxiang@idea.edu.cn >
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com >
2024-05-11 11:12:06 +03:00
229ffff872
llama : add BPE pre-tokenization for Qwen2 ( #7114 )
...
* Add BPE pre-tokenization for Qwen2.
* minor : fixes
---------
Co-authored-by: Ren Xuancheng <17811943+jklj077@users.noreply.github.com >
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com >
2024-05-08 15:06:43 +03:00
889bdd7686
command-r : add BPE pre-tokenization ( #7063 )
...
* Add BPE pre-tokenization for Command-R/R+.
* Bump transformers convert requirement.
* command-r : add individual digits regex
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com >
2024-05-05 08:19:30 +03:00
92139b90af
tests : add test-tokenizer-0.sh + fix some tokenizers ( #7036 )
...
* tests : add test-tokenizer-0.sh
* unicode : add all unicode number ranges
* starcoder : fix pre-tokenizer
* tests : add test that fails with DeepSeek tokenizers
* falcon : fix regex
* unicode : regenerate unicode tables
* refact : add tokenizer model
* lint : fix
* tests : disable failing tests
ggml-ci
* refact : add tests files
ggml-ci
* convert : print -> logging
ggml-ci
* lint : fix
* unicode : digit -> number
* phi-3 : update
2024-05-04 08:32:32 +03:00
f4ab2a4147
llama : fix BPE pre-tokenization ( #6920 )
...
* merged the changes from deepseeker models to main branch
* Moved regex patterns to unicode.cpp and updated unicode.h
* Moved header files
* Resolved issues
* added and refactored unicode_regex_split and related functions
* Updated/merged the deepseek coder pr
* Refactored code
* Adding unicode regex mappings
* Adding unicode regex function
* Added needed functionality, testing remains
* Fixed issues
* Fixed issue with gpt2 regex custom preprocessor
* unicode : fix? unicode_wstring_to_utf8
* lint : fix whitespaces
* tests : add tokenizer tests for numbers
* unicode : remove redundant headers
* tests : remove and rename tokenizer test scripts
* tests : add sample usage
* gguf-py : reader prints warnings on duplicate keys
* llama : towards llama3 tokenization support (wip)
* unicode : shot in the dark to fix tests on Windows
* unicode : first try custom implementations
* convert : add "tokenizer.ggml.pre" GGUF KV (wip)
* llama : use new pre-tokenizer type
* convert : fix pre-tokenizer type writing
* lint : fix
* make : add test-tokenizer-0-llama-v3
* wip
* models : add llama v3 vocab file
* llama : adapt punctuation regex + add llama 3 regex
* minor
* unicode : set bomb
* unicode : set bomb
* unicode : always use std::wregex
* unicode : support \p{N}, \p{L} and \p{P} natively
* unicode : try fix windows
* unicode : category support via std::regex
* unicode : clean-up
* unicode : simplify
* convert : add convert-hf-to-gguf-update.py
ggml-ci
* lint : update
* convert : add falcon
ggml-ci
* unicode : normalize signatures
* lint : fix
* lint : fix
* convert : remove unused functions
* convert : add comments
* convert : exercise contractions
ggml-ci
* lint : fix
* cmake : refactor test targets
* tests : refactor vocab tests
ggml-ci
* tests : add more vocabs and tests
ggml-ci
* unicode : cleanup
* scripts : ignore new update script in check-requirements.sh
* models : add phi-3, mpt, gpt-2, starcoder
* tests : disable obsolete
ggml-ci
* tests : use faster bpe test
ggml-ci
* llama : more prominent warning for old BPE models
* tests : disable test-tokenizer-1-bpe due to slowness
ggml-ci
---------
Co-authored-by: Jaggzh <jaggz.h@gmail.com >
Co-authored-by: Kazim Abrar Mahi <kazimabrarmahi135@gmail.com >
2024-04-29 16:58:41 +03:00
7593639ce3
main: add --json-schema / -j flag (#6659 )
...
* main: add --json-schema / -j
* json: move json-schema-to-grammar to common lib
* json: fix zig build
2024-04-15 18:35:21 +01:00
57dd02c44b
Tests: Added integration tests for GBNF parser ( #6472 )
...
* Added integration tests for GBNF parser to validate correctness of parsing, as well as correctness of string matching. Intended for use to pin behavior while working on performance improvements.
* Fixing whitespace errors and cleaning error message alert to be clearer.
* Removing hacky include to llama.cpp from grammar integration test now that needed functions are available via internal API.
* Comment cleanup.
* Reorganizing tests for readability.
* Cleaning up debug message to make a bit more sense.
2024-04-06 10:31:33 -04:00
5b7b0ac8df
json-schema-to-grammar improvements (+ added to server) ( #5978 )
...
* json: fix arrays (disallow `[,1]`)
* json: support tuple types (`[number, string]`)
* json: support additionalProperties (`{[k: string]: [string,number][]}`)
* json: support required / optional properties
* json: add support for pattern
* json: resolve $ref (and support https schema urls)
* json: fix $ref resolution
* join: support union types (mostly for nullable types I think)
* json: support allOf + nested anyOf
* json: support any (`{}` or `{type: object}`)
* json: fix merge
* json: temp fix for escapes
* json: spaces in output and unrestricted output spaces
* json: add typings
* json:fix typo
* Create ts-type-to-grammar.sh
* json: fix _format_literal (json.dumps already escapes quotes)
* json: merge lit sequences and handle negatives
{"type": "string", "pattern": "^({\"question\": \"[^\"]+\", \"response\": \"[^\"]+\"}\\n)+$"}
* json: handle pattern repetitions
* Update json-schema-to-grammar.mjs
* Create regex-to-grammar.py
* json: extract repeated regexp patterns to subrule
* Update json-schema-to-grammar.py
* Update json-schema-to-grammar.py
* Update json-schema-to-grammar.py
* json: handle schema from pydantic Optional fields
* Update json-schema-to-grammar.py
* Update json-schema-to-grammar.py
* Update ts-type-to-grammar.sh
* Update ts-type-to-grammar.sh
* json: simplify nullable fields handling
* json: accept duplicate identical rules
* json: revert space to 1 at most
* json: reuse regexp pattern subrules
* json: handle uuid string format
* json: fix literal escapes
* json: add --allow-fetch
* json: simplify range escapes
* json: support negative ranges in patterns
* Delete commit.txt
* json: custom regex parser, adds dot support & JS-portable
* json: rm trailing spaces
* Update json-schema-to-grammar.mjs
* json: updated server & chat `( cd examples/server && ./deps.sh )`
* json: port fixes from mjs to python
* Update ts-type-to-grammar.sh
* json: support prefixItems alongside array items
* json: add date format + fix uuid
* json: add date, time, date-time formats
* json: preserve order of props from TS defs
* json: port schema converter to C++, wire in ./server
* json: nits
* Update json-schema-to-grammar.cpp
* Update json-schema-to-grammar.cpp
* Update json-schema-to-grammar.cpp
* json: fix mjs implementation + align outputs
* Update json-schema-to-grammar.mjs.hpp
* json: test C++, JS & Python versions
* json: nits + regen deps
* json: cleanup test
* json: revert from c++17 to 11
* json: nit fixes
* json: dirty include for test
* json: fix zig build
* json: pass static command to std::system in tests (fixed temp files)
* json: fix top-level $refs
* json: don't use c++20 designated initializers
* nit
* json: basic support for reserved names `{number:{number:{root:number}}}`
* Revamp test cmake to allow args (WORKING_DIRECTORY needed for JSON test)
* json: re-ran server deps.sh
* json: simplify test
* json: support mix of additional props & required/optional
* json: add tests for some expected failures
* json: fix type=const in c++, add failure expectations for non-str const&enum
* json: test (& simplify output of) empty schema
* json: check parsing in test + fix value & string refs
* json: add server tests for OAI JSON response_format
* json: test/fix top-level anyOf
* json: improve grammar parsing failures
* json: test/fix additional props corner cases
* json: fix string patterns (was missing quotes)
* json: ws nit
* json: fix json handling in server when there's no response_format
* json: catch schema conversion errors in server
* json: don't complain about unknown format type in server if unset
* json: cleaner build of test
* json: create examples/json-schema-pydantic-example.py
* json: fix date pattern
* json: move json.hpp & json-schema-to-grammar.{cpp,h} to common
* json: indent 4 spaces
* json: fix naming of top-level c++ function (+ drop unused one)
* json: avoid using namespace std
* json: fix zig build
* Update server.feature
* json: iostream -> fprintf
* json: space before & refs for consistency
* json: nits
2024-03-21 11:50:43 +00:00
11b12de39b
llama : add llama_chat_apply_template() ( #5538 )
...
* llama: add llama_chat_apply_template
* test-chat-template: remove dedundant vector
* chat_template: do not use std::string for buffer
* add clarification for llama_chat_apply_template
* llama_chat_apply_template: add zephyr template
* llama_chat_apply_template: correct docs
* llama_chat_apply_template: use term "chat" everywhere
* llama_chat_apply_template: change variable name to "tmpl"
2024-02-19 10:23:37 +02:00
413e7b0559
ci : add model tests + script wrapper ( #4586 )
...
* scripts : add lib.sh and lib_test.sh
* scripts : stub out new ci-run.sh script
* scripts : switch to PascalCase for functions
This looks a little odd at first, but I find it very useful as a
convention to know if a command is part of our code vs a builtin.
* scripts : add some fancy conversion from snake_case to PascalCase
* Add venv to ci/run.sh
* Revert scripts work
* scripts : add wrapper script for local use of ci/run.sh
* Simplify .gitignore for tests, clang-tidy fixes
* Label all ctest tests
* ci : ctest uses -L main
* Attempt at writing ctest_with_model
* Update test-model-load-cancel
* ci : add ctest_with_model for debug and release
ggml-ci
* Fix gg_get_model function
ggml-ci
* got stuck on CMake
* Add get_model.cpp to tests/CMakeLists.txt
ggml-ci
* Fix README.md output for ctest_with_model
ggml-ci
* workflows : use `-L main` for all ctest
ggml-ci
* Fixes
* GG_RUN_CTEST_MODELFILE => LLAMACPP_TESTMODELFILE
* Always show warning rather than failing if model file variable is not
set
* scripts : update usage text for ci-run.sh
2024-01-26 14:18:00 +02:00
c918fe8dca
metal : create autorelease pool during library build ( #4970 )
...
* metal : create autorelease pool during library build
ggml-ci
* test : simplify
ggml-ci
2024-01-17 18:38:39 +02:00
97bbca6e85
cmake : fix ld warning duplicate libraries libllama.a ( #4671 )
...
* fix "ld: warning: ignoring duplicate libraries: '../libllama.a'"
* fix warning in example.
2023-12-29 16:39:15 +02:00
ea5497df5d
gpt2 : Add gpt2 architecture integration ( #4555 )
2023-12-28 15:03:57 +01:00
fe680e3d10
sync : ggml (new ops, tests, backend, etc.) ( #4359 )
...
* sync : ggml (part 1)
* sync : ggml (part 2, CUDA)
* sync : ggml (part 3, Metal)
* ggml : build fixes
ggml-ci
* cuda : restore lost changes
* cuda : restore lost changes (StableLM rope)
* cmake : enable separable compilation for CUDA
ggml-ci
* ggml-cuda : remove device side dequantize
* Revert "cmake : enable separable compilation for CUDA"
This reverts commit 09e35d04b1slarengh@gmail.com >
2023-12-07 22:26:54 +02:00
36eed0c42c
stablelm : StableLM support ( #3586 )
...
* Add support for stablelm-3b-4e1t
* Supports GPU offloading of (n-1) layers
2023-11-14 11:17:12 +01:00
daab3d7f45
Add more tokenizer tests ( #3742 )
...
* Add more tokenizer tests
* Add starcoder
* Update test vocab files
* Restrict bpe tokenizer tests to unicode planes
* Update comment
* Comment cosmetics
* Remove bloom vocab/test
2023-10-24 09:17:17 +02:00
9e70cc0322
Add test for MPT tokenization ( #3728 )
...
* Add test for MPT tokenization
* Revert code motion
* Remove unnecessary restriction in test case
* Clarify logic in conversion
2023-10-22 21:21:42 +02:00
ff5a3f0c09
Work on the BPE tokenizer ( #3252 )
...
* Work on the BPE tokenizer
Tokenizer tests work for Falcon-7B
* Try to fix build problem
* Fix debug assertion failure
* Fix MSVC Unicode BOM problem
* Cleanup and an improvement
* Fix compiler warning
* Cleanup
* Test doesn't work over the full range of Unicodes
* Update .gitignore and Makefile
* Another Makefile rule
* Testing Aquila
* Moving byte decoding back to `token_to_piece` ...
... because everyone is using it.
* Guarding some unusable code pathes
* Streamlining code and adding some more assertions
Important change: I'm classifying added tokens as control tokens now for BPE.
* Adding a comment
* Adding another assertion
* Fixed vocabulary guarding assertions
* Fix PR for recent change
* Fix PR for recent change
* Fix for compiler warning
* Fix PR for recent change
* Fix PR for recent change
* Fix PR for recent change
* Fix for compiler warning
* Fixes for more compiler warnings
* Remove unused code
* Fix initialization of static maps
* Add scores and token types back, adapt gptneox
* Update llama.cpp
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com >
* Update unicode.h
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com >
* Update unicode.h
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com >
* Ported Starcoder and added some assertions
* Fix coding style
* Apply @jploski 's fix for missing tokens
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com >
2023-10-03 09:16:26 +02:00
ec893798b7
llama : custom attention mask + parallel decoding + no context swaps ( #3228 )
...
* tests : verify that RoPE is "additive"
* llama : replace ggml_diag_mask_inf with ggml_add (custom -inf mask)
* ggml : ggml_rope now takes a vector with positions instead of n_past
* metal : add rope_f16 kernel + optimize cpy kernels
* llama : unified KV cache + batch inference API
* llama : add new llama_decode() API that works with llama_batch
* llama : add cell_max heuristic for more efficient kv_cache
* llama : extend llama_kv_cache API
* llama : more robust cell_max heuristic + wip shift
* metal : disable concurrency optimization
* llama : add llama_kv_cache_shift_seq + no more context swaps
* llama : apply K-cache roping for Falcon and Baichuan
* speculative : fix KV cache management
* parallel : example for serving multiple users in parallel
* parallel : disable hot-plug to avoid cache fragmentation
* fixes : speculative KV cache + llama worst-case graph
* llama : extend batch API to select which logits to output
* llama : fix worst case graph build
* ggml-cuda : update rope implementation for parallel decoding (#3254 )
* ggml-cuda : update rope implementation for parallel decoding
* better solution for p0 computation
* fix rope
* simpler rope implementation
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com >
* make : add parallel to build + fix static functions in llama.cpp
* simple : fix token counting
* parallel : various improvements
* llama : fix cell_max logic + rename functions
* parallel : try smaller batches when the KV cache is fragmented
* parallel : fix sequence termination criteria
* llama : silence errors KV cache errors
* parallel : remove new line from prompt
* parallel : process system prompt once + configurable paramters + llama API
* parallel : remove question with short answers
* parallel : count cache misses
* parallel : print misses on each request
* parallel : minor
* llama : fix n_kv to never become 0
* parallel : rename hot-plug to continuous-batching
* llama : improve llama_batch API + simplify parallel example
* simple : add parallel decoding support
* simple : improve comments + free batch
* ggml-cuda : add rope f16, restore performance with parallel decoding (#3272 )
* ggml-cuda : add rope f16, restore performance
* offload KQ_mask with all models
* fix rope shift
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com >
* llama : disable MPI for now
ggml-ci
* train : make KQ_pos memory buffer permanent via dummy scale op
* ggml : revert change to ggml_cpy, add ggml_cont_Nd instead (#3275 )
ggml-ci
* parallel : fix bug (extra BOS) + smaller token_prev array
* parallel : fix cases where the input prompts can overflow the batch
* parallel : add disabled experimental batch chunking in powers of two
* llama : llama.h formatting + comments
* simple : add README.md
* llama : fix kv cache heuristic when context is less than 32
* parallel : fix crash when `-n -1`
* llama : simplify returns if/else branches
* metal : use mm kernels for batch size > 2
* examples : utilize new llama_get_logits_ith()
* examples : add example for batched decoding
* examples : do not eval prompt 2 times (close #3348 )
* server : clear the KV cache beyond n_past before llama_decode
* server : avoid context swaps by shifting the KV cache
---------
Co-authored-by: slaren <slarengh@gmail.com >
2023-09-28 19:04:36 +03:00
71ca2fad7d
whisper : tokenizer fix + re-enable tokenizer test for LLaMa ( #3096 )
...
* Fix für #2721
* Reenable tokenizer test for LLaMa
* Add `console.cpp` dependency
* Fix dependency to `common`
* Fixing wrong fix.
* Make console usage platform specific
Work on compiler warnings.
* Adapting makefile
* Remove trailing whitespace
* Adapting the other parts of the makefile
* Fix typo.
2023-09-13 16:19:44 +03:00
849408957c
tests : add a C compliance test ( #2848 )
...
* tests : add a C compliance test
* make : build C compliance test by default
* make : fix clean and make sure C test fails on clang
* make : move -Werror=implicit-int to CFLAGS
2023-08-30 09:20:26 +03:00
edd4c14817
llama : more tokenizer fixes ( #2810 )
...
* tests : write a Python tokenizer test (wip)
* llama : prefix input text for tokenization with whitespace
* llama : distinguish pieces from decoded text + fix detokenization
* common : add comments
* examples : no longer manually add leading space when tokenizing
* tests : use Python to generate tokenizer tests for C++
* tests : add option to tokenize text files
ggml-ci
* tests : add test-tokenizer-1.py
* llama.cpp : fix LF token
* hellaswag : move the concat space for clarity
* tests : add falcon tests (py + cpp, currently do not pass Unicode)
ggml-ci
* common : temporary separate llama_detokenize calls for SPM and BPE
---------
Co-authored-by: klosax <131523366+klosax@users.noreply.github.com >
2023-08-27 14:19:19 +03:00
cf658adc83
llm : add Falcon support ( #2717 )
...
* llama : refactor GGUF constants into static maps
* llama : check if model architecture is known
* llama : refactor llama_model_load_internal()
* gguf : add KV constant maps
* llm : read arch-specific KVs
* convert : add dummy scores + types
* falcon : load tensor data (CPU only)
* llama : fix loading progress bar
* llama : add arch member to llama_model
* falcon : CPU inference working
* falcon : support non-40B models
* falcon : minor
* llama : minor updates
ggml-ci
* convert-falcon-hf-to-gguf.py : fix special token mapping
* llama.cpp : llama default UNK token = id 0
* llama.cpp : fix bpe tokenizer
* llama.cpp : fix the fix of bpe tokenizer
* ggml : pass eps to ggml_norm
* metal : implement RoPE (mode = 2) + avoid ggml_repeat
* ggml : ggml_repeat always creates new tensor
* falcon : copy-paste self-attention from LLaMA
* metal : print extra compute pipeline info
* falcon : minor changes (still chasing the Metal problem)
* llama.cpp : fix linefeed token
* metal : fix GELU kernel numerical stability by using precise::tanh
* metal : temporary workaround for the concurrency optimization bug
* falcon : add CUDA offloading (#2739 )
* llama : better model naming and size reporting
* llama : prep new tokenizer support
* llama : advanced BPE tokenizer based on ggllm.cpp imlpementation
* llama : remove oboslete comment
ggml-ci
* common : remove obsolete BPE API + disable test-tokenizer-1
* llama : revert BPE special-case in llama_byte_to_token()
* cuda : add TODOs for RoPE NeoX implementation
* llama : default special tokens based on vocab type
* perplexity : add log for start of tokenization
---------
Co-authored-by: klosax <131523366+klosax@users.noreply.github.com >
Co-authored-by: slaren <slarengh@gmail.com >
2023-08-23 23:08:04 +03:00
6381d4e110
gguf : new file format with flexible meta data (beta) ( #2398 )
...
* gguf : first API pass
* gguf : read header + meta data
* gguf : read tensor info
* gguf : initial model loading - not tested
* gguf : add gguf_get_tensor_name()
* gguf : do not support passing existing ggml_context to gguf_init
* gguf : simplify gguf_get_val
* gguf : gguf.c is now part of ggml.c
* gguf : read / write sample models
* gguf : add comments
* refactor : reduce code duplication and better API (#2415 )
* gguf : expose the gguf_type enum through the API for now
* gguf : add array support
* gguf.py : some code style changes
* convert.py : start a new simplified implementation by removing old stuff
* convert.py : remove GGML vocab + other obsolete stuff
* GGUF : write tensor (#2426 )
* WIP: Write tensor
* GGUF : Support writing tensors in Python
* refactor : rm unused import and upd todos
* fix : fix errors upd writing example
* rm example.gguf
* gitignore *.gguf
* undo formatting
* gguf : add gguf_find_key (#2438 )
* gguf.cpp : find key example
* ggml.h : add gguf_find_key
* ggml.c : add gguf_find_key
* gguf : fix writing tensors
* gguf : do not hardcode tensor names to read
* gguf : write sample tensors to read
* gguf : add tokenization constants
* quick and dirty conversion example
* gguf : fix writing gguf arrays
* gguf : write tensors one by one and code reuse
* gguf : fix writing gguf arrays
* gguf : write tensors one by one
* gguf : write tensors one by one
* gguf : write tokenizer data
* gguf : upd gguf conversion script
* Update convert-llama-h5-to-gguf.py
* gguf : handle already encoded string
* ggml.h : get array str and f32
* ggml.c : get arr str and f32
* gguf.py : support any type
* Update convert-llama-h5-to-gguf.py
* gguf : fix set is not subscriptable
* gguf : update convert-llama-h5-to-gguf.py
* constants.py : add layer norm eps
* gguf.py : add layer norm eps and merges
* ggml.h : increase GGML_MAX_NAME to 64
* ggml.c : add gguf_get_arr_n
* Update convert-llama-h5-to-gguf.py
* add gptneox gguf example
* Makefile : add gptneox gguf example
* Update convert-llama-h5-to-gguf.py
* add gptneox gguf example
* Update convert-llama-h5-to-gguf.py
* Update convert-gptneox-h5-to-gguf.py
* Update convert-gptneox-h5-to-gguf.py
* Update convert-llama-h5-to-gguf.py
* gguf : support custom alignment value
* gguf : fix typo in function call
* gguf : mmap tensor data example
* fix : update convert-llama-h5-to-gguf.py
* Update convert-llama-h5-to-gguf.py
* convert-gptneox-h5-to-gguf.py : Special tokens
* gptneox-main.cpp : special tokens
* Update gptneox-main.cpp
* constants.py : special tokens
* gguf.py : accumulate kv and tensor info data + special tokens
* convert-gptneox-h5-to-gguf.py : accumulate kv and ti + special tokens
* gguf : gguf counterpart of llama-util.h
* gguf-util.h : update note
* convert-llama-h5-to-gguf.py : accumulate kv / ti + special tokens
* convert-llama-h5-to-gguf.py : special tokens
* Delete gptneox-common.cpp
* Delete gptneox-common.h
* convert-gptneox-h5-to-gguf.py : gpt2bpe tokenizer
* gptneox-main.cpp : gpt2 bpe tokenizer
* gpt2 bpe tokenizer (handles merges and unicode)
* Makefile : remove gptneox-common
* gguf.py : bytesarray for gpt2bpe tokenizer
* cmpnct_gpt2bpe.hpp : comments
* gguf.py : use custom alignment if present
* gguf : minor stuff
* Update gptneox-main.cpp
* map tensor names
* convert-gptneox-h5-to-gguf.py : map tensor names
* convert-llama-h5-to-gguf.py : map tensor names
* gptneox-main.cpp : map tensor names
* gguf : start implementing libllama in GGUF (WIP)
* gguf : start implementing libllama in GGUF (WIP)
* rm binary commited by mistake
* upd .gitignore
* gguf : calculate n_mult
* gguf : inference with 7B model working (WIP)
* gguf : rm deprecated function
* gguf : start implementing gguf_file_saver (WIP)
* gguf : start implementing gguf_file_saver (WIP)
* gguf : start implementing gguf_file_saver (WIP)
* gguf : add gguf_get_kv_type
* gguf : add gguf_get_kv_type
* gguf : write metadata in gguf_file_saver (WIP)
* gguf : write metadata in gguf_file_saver (WIP)
* gguf : write metadata in gguf_file_saver
* gguf : rm references to old file formats
* gguf : shorter name for member variable
* gguf : rm redundant method
* gguf : get rid of n_mult, read n_ff from file
* Update gguf_tensor_map.py
* Update gptneox-main.cpp
* gguf : rm references to old file magics
* gguf : start implementing quantization (WIP)
* gguf : start implementing quantization (WIP)
* gguf : start implementing quantization (WIP)
* gguf : start implementing quantization (WIP)
* gguf : start implementing quantization (WIP)
* gguf : start implementing quantization (WIP)
* gguf : quantization is working
* gguf : roper closing of file
* gguf.py : no need to convert tensors twice
* convert-gptneox-h5-to-gguf.py : no need to convert tensors twice
* convert-llama-h5-to-gguf.py : no need to convert tensors twice
* convert-gptneox-h5-to-gguf.py : simplify nbytes
* convert-llama-h5-to-gguf.py : simplify nbytes
* gptneox-main.cpp : n_layer --> n_block
* constants.py : n_layer --> n_block
* gguf.py : n_layer --> n_block
* convert-gptneox-h5-to-gguf.py : n_layer --> n_block
* convert-llama-h5-to-gguf.py : n_layer --> n_block
* gptneox-main.cpp : n_layer --> n_block
* Update gguf_tensor_map.py
* convert-gptneox-h5-to-gguf.py : load model in parts to save memory
* convert-llama-h5-to-gguf.py : load model in parts to save memory
* convert : write more metadata for LLaMA
* convert : rm quantization version
* convert-gptneox-h5-to-gguf.py : add file_type key
* gptneox-main.cpp : add file_type key
* fix conflicts
* gguf : add todos and comments
* convert-gptneox-h5-to-gguf.py : tensor name map changes
* Create gguf_namemap.py : tensor name map changes
* Delete gguf_tensor_map.py
* gptneox-main.cpp : tensor name map changes
* convert-llama-h5-to-gguf.py : fixes
* gguf.py : dont add empty strings
* simple : minor style changes
* gguf : use UNIX line ending
* Create convert-llama-7b-pth-to-gguf.py
* llama : sync gguf-llama.cpp with latest llama.cpp (#2608 )
* llama : sync gguf-llama.cpp with latest llama.cpp
* minor : indentation + assert
* llama : refactor gguf_buffer and gguf_ctx_buffer
* llama : minor
* gitignore : add gptneox-main
* llama : tokenizer fixes (#2549 )
* Merge tokenizer fixes into the gguf branch.
* Add test vocabularies
* convert : update convert-new.py with tokenizer fixes (#2614 )
* Merge tokenizer fixes into the gguf branch.
* Add test vocabularies
* Adapt convert-new.py (and fix a clang-cl compiler error on windows)
* llama : sync gguf-llama with llama (#2613 )
* llama : sync gguf-llama with llama
* tests : fix build + warnings (test-tokenizer-1 still fails)
* tests : fix wstring_convert
* convert : fix layer names
* llama : sync gguf-llama.cpp
* convert : update HF converter to new tokenizer voodoo magics
* llama : update tokenizer style
* convert-llama-h5-to-gguf.py : add token types
* constants.py : add token types
* gguf.py : add token types
* convert-llama-7b-pth-to-gguf.py : add token types
* gguf-llama.cpp : fix n_head_kv
* convert-llama-h5-to-gguf.py : add 70b gqa support
* gguf.py : add tensor data layout
* convert-llama-h5-to-gguf.py : add tensor data layout
* convert-llama-7b-pth-to-gguf.py : add tensor data layout
* gptneox-main.cpp : add tensor data layout
* convert-llama-h5-to-gguf.py : clarify the reverse permute
* llama : refactor model loading code (#2620 )
* llama : style formatting + remove helper methods
* llama : fix quantization using gguf tool
* llama : simplify gguf_file_saver
* llama : fix method names
* llama : simplify write_header()
* llama : no need to pass full file loader to the file saver
just gguf_ctx
* llama : gguf_file_saver write I32
* llama : refactor tensor names (#2622 )
* gguf: update tensor names searched in quantization
* gguf : define tensor names as constants
* gguf : initial write API (not tested yet)
* gguf : write to file API (not tested)
* gguf : initial write API ready + example
* gguf : fix header write
* gguf : fixes + simplify example + add ggml_nbytes_pad()
* gguf : minor
* llama : replace gguf_file_saver with new gguf write API
* gguf : streaming support when writing files
* gguf : remove oboslete write methods
* gguf : remove obosolete gguf_get_arr_xxx API
* llama : simplify gguf_file_loader
* llama : move hparams and vocab from gguf_file_loader to llama_model_loader
* llama : merge gguf-util.h in llama.cpp
* llama : reorder definitions in .cpp to match .h
* llama : minor simplifications
* llama : refactor llama_model_loader (WIP)
wip : remove ggml_ctx from llama_model_loader
wip : merge gguf_file_loader in llama_model_loader
* llama : fix shape prints
* llama : fix Windows build + fix norm_rms_eps key
* llama : throw error on missing KV paris in model meta data
* llama : improve printing + log meta data
* llama : switch print order of meta data
---------
Co-authored-by: M. Yusuf Sarıgöz <yusufsarigoz@gmail.com >
* gguf : deduplicate (#2629 )
* gguf : better type names
* dedup : CPU + Metal is working
* ggml : fix warnings about unused results
* llama.cpp : fix line feed and compiler warning
* llama : fix strncpy warning + note token_to_str does not write null
* llama : restore the original load/save session implementation
Will migrate this to GGUF in the future
* convert-llama-h5-to-gguf.py : support alt ctx param name
* ggml : assert when using ggml_mul with non-F32 src1
* examples : dedup simple
---------
Co-authored-by: klosax <131523366+klosax@users.noreply.github.com >
* gguf.py : merge all files in gguf.py
* convert-new.py : pick #2427 for HF 70B support
* examples/gguf : no need to keep q option for quantization any more
* llama.cpp : print actual model size
* llama.cpp : use ggml_elements()
* convert-new.py : output gguf (#2635 )
* convert-new.py : output gguf (WIP)
* convert-new.py : add gguf key-value pairs
* llama : add hparams.ctx_train + no longer print ftype
* convert-new.py : minor fixes
* convert-new.py : vocab-only option should work now
* llama : fix tokenizer to use llama_char_to_byte
* tests : add new ggml-vocab-llama.gguf
* convert-new.py : tensor name mapping
* convert-new.py : add map for skipping tensor serialization
* convert-new.py : convert script now works
* gguf.py : pick some of the refactoring from #2644
* convert-new.py : minor fixes
* convert.py : update to support GGUF output
* Revert "ci : disable CI temporary to not waste energy"
This reverts commit 7e82d25f40#2644 )
* gguf : single pass for writing tensors + refactoring writer
* gguf : single pass for writing tensors + refactoring writer
* gguf : single pass for writing tensors + refactoring writer
* gguf : style fixes in simple conversion script
* gguf : refactor gptneox conversion script
* gguf : rename h5 to hf (for HuggingFace)
* gguf : refactor pth to gguf conversion script
* gguf : rm file_type key and method
* gguf.py : fix vertical alignment
* gguf.py : indentation
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com >
* convert-gptneox-hf-to-gguf.py : fixes
* gguf.py : gptneox mapping
* convert-llama-hf-to-gguf.py : fixes
* convert-llama-7b-pth-to-gguf.py : fixes
* ggml.h : reverse GGUF_MAGIC
* gguf.py : reverse GGUF_MAGIC
* test-tokenizer-0.cpp : fix warning
* llama.cpp : print kv general.name
* llama.cpp : get special token kv and linefeed token id
* llama : print number of tensors per type + print arch + style
* tests : update vocab file with new magic
* editorconfig : fix whitespaces
* llama : re-order functions
* llama : remove C++ API + reorganize common source in /common dir
* llama : minor API updates
* llama : avoid hardcoded special tokens
* llama : fix MPI build
ggml-ci
* llama : introduce enum llama_vocab_type + remove hardcoded string constants
* convert-falcon-hf-to-gguf.py : falcon HF --> gguf conversion, not tested
* falcon-main.cpp : falcon inference example
* convert-falcon-hf-to-gguf.py : remove extra kv
* convert-gptneox-hf-to-gguf.py : remove extra kv
* convert-llama-7b-pth-to-gguf.py : remove extra kv
* convert-llama-hf-to-gguf.py : remove extra kv
* gguf.py : fix for falcon 40b
* falcon-main.cpp : fix for falcon 40b
* convert-falcon-hf-to-gguf.py : update ref
* convert-falcon-hf-to-gguf.py : add tensor data layout
* cmpnct_gpt2bpe.hpp : fixes
* falcon-main.cpp : fixes
* gptneox-main.cpp : fixes
* cmpnct_gpt2bpe.hpp : remove non-general stuff
* Update examples/server/README.md
Co-authored-by: slaren <slarengh@gmail.com >
* cmpnct_gpt2bpe.hpp : cleanup
* convert-llama-hf-to-gguf.py : special tokens
* convert-llama-7b-pth-to-gguf.py : special tokens
* convert-permute-debug.py : permute debug print
* convert-permute-debug-master.py : permute debug for master
* convert-permute-debug.py : change permute type of attn_q
* convert.py : 70b model working (change attn_q permute)
* Delete convert-permute-debug-master.py
* Delete convert-permute-debug.py
* convert-llama-hf-to-gguf.py : fix attn_q permute
* gguf.py : fix rope scale kv
* convert-llama-hf-to-gguf.py : rope scale and added tokens
* convert-llama-7b-pth-to-gguf.py : rope scale and added tokens
* llama.cpp : use rope scale kv
* convert-llama-7b-pth-to-gguf.py : rope scale fix
* convert-llama-hf-to-gguf.py : rope scale fix
* py : fix whitespace
* gguf : add Python script to convert GGMLv3 LLaMA models to GGUF (#2682 )
* First pass at converting GGMLv3 LLaMA models to GGUF
* Cleanups, better output during conversion
* Fix vocab space conversion logic
* More vocab conversion fixes
* Add description to converted GGUF files
* Improve help text, expand warning
* Allow specifying name and description for output GGUF
* Allow overriding vocab and hyperparams from original model metadata
* Use correct params override var name
* Fix wrong type size for Q8_K
Better handling of original style metadata
* Set default value for gguf add_tensor raw_shape KW arg
* llama : improve token type support (#2668 )
* Merge tokenizer fixes into the gguf branch.
* Add test vocabularies
* Adapt convert-new.py (and fix a clang-cl compiler error on windows)
* Improved tokenizer test
But does it work on MacOS?
* Improve token type support
- Added @klosax code to convert.py
- Improved token type support in vocabulary
* Exclude platform dependent tests
* More sentencepiece compatibility by eliminating magic numbers
* Restored accidentally removed comment
* llama : add API for token type
ggml-ci
* tests : use new tokenizer type API (#2692 )
* Merge tokenizer fixes into the gguf branch.
* Add test vocabularies
* Adapt convert-new.py (and fix a clang-cl compiler error on windows)
* Improved tokenizer test
But does it work on MacOS?
* Improve token type support
- Added @klosax code to convert.py
- Improved token type support in vocabulary
* Exclude platform dependent tests
* More sentencepiece compatibility by eliminating magic numbers
* Restored accidentally removed comment
* Improve commentary
* Use token type API in test-tokenizer-1.cpp
* py : cosmetics
* readme : add notice about new file format
ggml-ci
---------
Co-authored-by: M. Yusuf Sarıgöz <yusufsarigoz@gmail.com >
Co-authored-by: klosax <131523366+klosax@users.noreply.github.com >
Co-authored-by: goerch <jhr.walter@t-online.de >
Co-authored-by: slaren <slarengh@gmail.com >
Co-authored-by: Kerfuffle <44031344+KerfuffleV2@users.noreply.github.com >
2023-08-21 23:07:43 +03:00
7cf54e1f74
tests : adds simple llama grammar tests ( #2618 )
...
* adds simple llama grammar tests
* fix lint and add Makefile
* 0 terminate code_points
* avoid dangling pointers in candidate cleanup
* cleanup grammar at end of test
2023-08-17 10:41:01 +03:00
ee77efea2a
test : add simple grammar parsing tests ( #2594 )
...
* adds simple grammar parsing tests
* adds cassert header
2023-08-13 17:00:48 +03:00
81844fbcfd
tests : Fix compilation warnings (Linux/GCC) ( #2451 )
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* fix hellaswag print format, cast away warning in test-double-float
* c++11 cannot use designated initializers
* add static to test-grad0.c internal functions
* use memcpy in test-double-float.c
* port c tests to c++
* use initializer list for ggml_init_params
2023-08-02 11:06:19 +03:00
b1f4290953
cmake : install targets ( #2256 )
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fix #2252
2023-07-19 10:01:11 +03:00
