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2024-02-03refactor : switch to emplace_back to avoid extra object (#5291)Michael Klimenko
2024-02-03YaRN : store rope scaling type as int32_t in memory (#5285)Jared Van Bortel
* YaRN : store rope scaling type as int32_t in memory * llama : store mapped names as const char *
2024-01-31llama : remove LLAMA_MAX_DEVICES and LLAMA_SUPPORTS_GPU_OFFLOAD (#5240)Georgi Gerganov
* llama : remove LLAMA_MAX_DEVICES from llama.h ggml-ci * Update llama.cpp Co-authored-by: slaren <slarengh@gmail.com> * server : remove LLAMA_MAX_DEVICES ggml-ci * llama : remove LLAMA_SUPPORTS_GPU_OFFLOAD ggml-ci * train : remove LLAMA_SUPPORTS_GPU_OFFLOAD * readme : add deprecation notice * readme : change deprecation notice to "remove" and fix url * llama : remove gpu includes from llama.h ggml-ci --------- Co-authored-by: slaren <slarengh@gmail.com>
2024-01-31Vulkan Fixes (#5223)0cc4m
* Fix Vulkan F16 models * Fix Vulkan context shift crash * Add Vulkan to common.cpp dump_non_result_info_yaml function * Fix bug in Vulkan CPY op * Fix small matrix multiplication errors in AMD GPUs on Windows or with amdvlk Co-authored-by: Engininja2 <139037756+Engininja2@users.noreply.github.com> --------- Co-authored-by: Engininja2 <139037756+Engininja2@users.noreply.github.com>
2024-01-30kompute : llama-bench support and ggml_cpu_has_kompute() (#5226)Jared Van Bortel
2024-01-28ggml : add unified SYCL backend for Intel GPUs (#2690)Abhilash Majumder
* first update for migration * update init_cublas * add debug functio, commit all help code * step 1 * step 2 * step3 add fp16, slower 31->28 * add GGML_LIST_DEVICE function * step 5 format device and print * step6, enhance error check, remove CUDA macro, enhance device id to fix none-zero id issue * support main device is non-zero * step7 add debug for code path, rm log * step 8, rename all macro & func from cuda by sycl * fix error of select non-zero device, format device list * ren ggml-sycl.hpp -> ggml-sycl.h * clear CMAKE to rm unused lib and options * correct queue: rm dtct:get_queue * add print tensor function to debug * fix error: wrong result in 658746bb26702e50f2c59c0e4ada8e9da6010481 * summary dpct definition in one header file to replace folder:dpct * refactor device log * mv dpct definition from folder dpct to ggml-sycl.h * update readme, refactor build script * fix build with sycl * set nthread=1 when sycl, increase performance * add run script, comment debug code * add ls-sycl-device tool * add ls-sycl-device, rm unused files * rm rear space * dos2unix * Update README_sycl.md * fix return type * remove sycl version from include path * restore rm code to fix hang issue * add syc and link for sycl readme * rm original sycl code before refactor * fix code err * add know issue for pvc hang issue * enable SYCL_F16 support * align pr4766 * check for sycl blas, better performance * cleanup 1 * remove extra endif * add build&run script, clean CMakefile, update guide by review comments * rename macro to intel hardware * editor config format * format fixes * format fixes * editor format fix * Remove unused headers * skip build sycl tool for other code path * replace tab by space * fix blas matmul function * fix mac build * restore hip dependency * fix conflict * ren as review comments * mv internal function to .cpp file * export funciton print_sycl_devices(), mv class dpct definition to source file * update CI/action for sycl code, fix CI error of repeat/dup * fix action ID format issue * rm unused strategy * enable llama_f16 in ci * fix conflict * fix build break on MacOS, due to CI of MacOS depend on external ggml, instead of internal ggml * fix ci cases for unsupported data type * revert unrelated changed in cuda cmake remove useless nommq fix typo of GGML_USE_CLBLAS_SYCL * revert hip cmake changes * fix indent * add prefix in func name * revert no mmq * rm cpu blas duplicate * fix no_new_line * fix src1->type==F16 bug. * pass batch offset for F16 src1 * fix batch error * fix wrong code * revert sycl checking in test-sampling * pass void as arguments of ggml_backend_sycl_print_sycl_devices * remove extra blank line in test-sampling * revert setting n_threads in sycl * implement std::isinf for icpx with fast math. * Update ci/run.sh Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Update examples/sycl/run-llama2.sh Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Update examples/sycl/run-llama2.sh Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Update CMakeLists.txt Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Update CMakeLists.txt Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Update CMakeLists.txt Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Update CMakeLists.txt Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * add copyright and MIT license declare * update the cmd example --------- Co-authored-by: jianyuzh <jianyu.zhang@intel.com> Co-authored-by: luoyu-intel <yu.luo@intel.com> Co-authored-by: Meng, Hengyu <hengyu.meng@intel.com> Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-01-27Remove unused data and add fixes (#5154)Michael Klimenko
* Remove unused data and add fixes * Add missing file * Address review comments * Replace the scope of vq allocation
2024-01-25llama : dynamic temperature sampling (#4972)l3utterfly
* implemented dynamic temperature sampling from koboldcpp * removed trailing whitespace * removed unused temp parameter in llama_sample_entropy * exposed exponent_val in dynamic temp sampler * added debug check for printf statements * use nullptr in llama_sample_softmax call during llama_sample_entropy this avoids counting the time taken stats twice Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * return earlier if there is only 1 candiate (i.e. max_entropy == 0) * reformat 't' case in llama_sample_queue Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com> * check for one or zero candidates case in llama_sample_entropy --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com>
2024-01-23minor : clean-up some warnings and style (#5094)Georgi Gerganov
* minor : clean-up some warnings and style ggml-ci * ggml : add comment
2024-01-22KL-divergence (#5076)Kawrakow
* kl-divergence: be able to save all logits to a file * Add ability to compute KL-divergence --------- Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2024-01-21Add ability to evauate multiple choice tasks (#5047)Kawrakow
* TruthfulQA: 1st attempt, does not look like it is working The same implementation can be used for HellaSwag as well, so I converted a HellaSwag validation dataset to the binary format used here and tested with that. The score is only around 50, so something is not quite right. * TruthfulQA: works but the result is bad I know it works because if I convert the HellaSwag validation data to the binary format used in the truthful_qa_score() function I get the exact same result as from the hellaswag_score() function. But I guess, the questions are tricky and the way I have done the combination of question + answer is very likely not the best. The TruthfulQA validation dataset contains 817 questions, with random chance result around 19%. With this version I get 29.1% for Mistral-7B and 55.2% for Mistral-7B-Instruct-v0.2. The HF leader board results for these two models are 42.2% and 68.3%, respectively. * TruthfulQA: fix random sample * TruthfulQA: prepare tasks in parallel for large test datasets * Rename truthful_qa to multiple_choice * Make MSVC happy I had forgotten that MSVC does not make constexpr's available inside a lambda. --------- Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2024-01-18Add Winogrande evaluation (#5015)Kawrakow
* winogrande: simple implementation It doesn't look like it is working - why? For Mistral-7B it is barely better than random chance (score ~60% for 1267 tasks), while I see Mistral-7B scoring 78.4% on the HF leader board. 1-sigma statistical uncertainty for 1267 tasks is ~1.4, so no way the difference is due to statistics. * winogrande: somewhat better Score for Mistrali7-B is now 68.9 on the validation set of winogrande_debiased. Still far from the reported 78.4, but better than what I had before. * winogrande: improving Mistral-7B score is now 73.56. Still not quite 78.4 but getting there. We are also getting a lower score on HellaSwag compared to HF leader board, so I'm not expecting we will get up to 78.4 anyway. It looks like it is better to skip the choice word(s) when evaluating the average log-likelihood. This kind of makes sense because a more common word (in Winogrande this is often a name) will have a higher probability without knowing about the follow up context, and this will skew the log-likelihood towards the more common word. We can only do this if the choice words are not last in the sentence. It also looks like it is better to skip the punctuation at the end of the sentence, provided the choice words are not last. * winogrande: add dataset instructions --------- Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2024-01-17llama : fix copy/paste error in llama_sampling_params comment (#4994)David Renshaw
2024-01-16speculative : threading options (#4959)stduhpf
* speculative: expose draft threading * fix usage format * accept -td and -tbd args * speculative: revert default behavior when -td is unspecified * fix trailing whitespace
2024-01-15llama : apply classifier-free guidance to logits directly (#4951)David Friehs
2024-01-13main : add parameter --no-display-prompt (#4541)Yann Follet
* add the parameter : --no-display-prompt , combine with --log-disable it will display only the generated tokens * remove empty line --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-01-12llama : ggml-backend integration (#4766)slaren
* llama : ggml-backend integration * ggml-backend : add names to buffers * fix unmap after loading * batched-bench : add tensor_split param * llama : check for null tensor_split * ggml-backend : increase GGML_MAX_BACKENDS * improve graph splitting, partial fix for --no-kv-offload * cuda : add ggml-backend split buffer support * cuda : do not create buffer types for devices that don't exist (fixes usage without CUDA devices available) * ggml : fix null backend dereference (#4807) * ggml : fix null backend dereference * ggml : also check ggml_backend_is_cpu * test-backend-ops : check buffer allocation failures * llama : add cparam (split_mode) and command line argument (--split-mode, -sm) to configure the split mode (none, layer or row) * ggml : fix mul_mat_id work size * llama : rewrite session kv load/set without graphs * minor * llama : only initialize used backends, free backends on context free * llama : abort ctx if cuda backend init fails * llama : rewrite lora with ggml-backend and compute on CPU ggml-ci * llama : only map to a backend buffer the region of the file mapping containing the tensors used in the buffer * opencl : add ggml-backend buffer type * cuda : only use batched_cublas with batched mat muls (fixes fp16 tg perf) * llama : on Metal, by default offload the full model ggml-ci * metal : page align the data ptr (#4854) * Apply suggestions from code review Co-authored-by: Johannes Gäßler <johannesg@5d6.de> * cuda : fix split buffer free * address review comments * llama-bench : add split-mode parameter * fix whitespace * opencl : fix double initialization * server : add --split-mode parameter * use async copy and compute to improve multi-gpu performance ggml-ci * use async memcpys to copy the graph outputs to the CPU * fix opencl * use a host buffer for the cpu compute buffer for faster copies to the gpu --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
2024-01-12common : streamline the formatting of help (#4890)howlger
* common : streamline the formatting of help - Separate alternative parameters by a comma - Do not indent `--version` differently * Update common/common.cpp --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-01-12llama : fix llm_build_k_shift to use correct n_rot (#4889)Georgi Gerganov
* llama : fix llm_build_k_shift to use correct n_rot ggml-ci * llama : always use hparams.n_rot for ggml_rope_custom ggml-ci * convert : fix persimmon conversion to write correct n_rot
2024-01-11main : better name for variable n_print (#4874)Georgi Gerganov
2024-01-11main : disable token count by default (#4874)Georgi Gerganov
2024-01-11main : print total token count and tokens consumed so far (#4874)pudepiedj
* Token count changes * Add show token count * Updating before PR * Two requested changes * Move param def posn
2024-01-08common : fix the short form of `--grp-attn-w`, not `-gat` (#4825)howlger
See https://github.com/ggerganov/llama.cpp/blob/master/common/common.cpp#L230C53-L230C57
2024-01-08main : add self-extend support (#4815)Georgi Gerganov
* examples : add passkey test * passkey : better prints * passkey : select pass key pos from CLI * passkey : simplify n_past logic * llama : "self-extend"-like context extension * passkey : add comment * main : add Self-Extend support * llama : add comment about llama_kv_cache_seq_div
2024-01-03train : fix typo in overlapping-samples help msg (#4758)Daniel Bevenius
This commit fixes a typo in the help message for the --overlapping-samples option. Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
2023-12-30ggml : add ggml_cpu_has_avx_vnni() (#4589)automaticcat
* feat: add avx_vnni based on intel documents * ggml: add avx vnni based on intel document * llama: add avx vnni information display * docs: add more details about using oneMKL and oneAPI for intel processors * docs: add more details about using oneMKL and oneAPI for intel processors * docs: add more details about using oneMKL and oneAPI for intel processors * docs: add more details about using oneMKL and oneAPI for intel processors * docs: add more details about using oneMKL and oneAPI for intel processors * Update ggml.c Fix indentation upgate Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-12-29cmake : fix ld warning duplicate libraries libllama.a (#4671)Cuong Trinh Manh
* fix "ld: warning: ignoring duplicate libraries: '../libllama.a'" * fix warning in example.
2023-12-23server : allow to specify custom prompt for penalty calculation (#3727)Alexey Parfenov
2023-12-23grammar : check the full vocab only if necessary (opt) (#4306)kalomaze
* Check the full vocab for grammar only if necessary * Fix missing logit restoration step (?) Does this matter, actually? * Fix whitespace / formatting * Adjust comment * Didn't mean to push test gbnf * Split sampling into the helper function (?) And also revert the changes made to the header * common : fix final newline --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-12-22lookup : add prompt lookup decoding example (#4484)LeonEricsson
* initial commit, going through initializations * main loop finished, starting to debug * BUG: generates gibberish/repeating tokens after a while * kv_cache management * Added colors to distinguish drafted tokens (--color). Updated README * lookup : fix token positions in the draft batch * lookup : use n_draft from CLI params * lookup : final touches --------- Co-authored-by: Leon Ericsson <leon.ericsson@icloud.com> Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-12-21common : remove incorrect --model-draft default (#4568)Jared Van Bortel
2023-12-14ggml : remove n_dims from ggml_tensor (#4469)slaren
ggml-ci
2023-12-13common : add `--version` option to show build info in CLI (#4433)Siwen Yu
2023-12-12english : use `typos` to fix comments and logs (#4354)Richard Kiss
2023-12-07llama : per-layer KV cache + quantum K cache (#4309)Georgi Gerganov
* per-layer KV * remove unnecessary copies * less code duplication, offload k and v separately * llama : offload KV cache per-layer * llama : offload K shift tensors * llama : offload for rest of the model arches * llama : enable offload debug temporarily * llama : keep the KV related layers on the device * llama : remove mirrors, perform Device -> Host when partial offload * common : add command-line arg to disable KV cache offloading * llama : update session save/load * llama : support quantum K cache (#4312) * llama : support quantum K cache (wip) * metal : add F32 -> Q8_0 copy kernel * cuda : add F32 -> Q8_0 copy kernel ggml-ci * cuda : use mmv kernel for quantum cache ops * llama : pass KV cache type through API * llama : fix build ggml-ci * metal : add F32 -> Q4_0 copy kernel * metal : add F32 -> Q4_1 copy kernel * cuda : wip * cuda : add F32 -> Q4_0 and F32 -> Q4_1 copy kernels * llama-bench : support type_k/type_v * metal : use mm kernel only for quantum KV cache * cuda : add comment * llama : remove memory_f16 and kv_f16 flags --------- Co-authored-by: slaren <slarengh@gmail.com> * readme : add API change notice --------- Co-authored-by: slaren <slarengh@gmail.com>
2023-12-06common : fix compile warningGeorgi Gerganov
2023-12-05llama : allow overriding GGUF metadata when loading model (#4092)Kerfuffle
* feat: Allow overriding GGUF metadata when loading model * Fix the one time GCC is stricter than clang about something * Step1 * Refactor... basically everything! * Nuke obsolete GetArrayLen struct * simplify std::string specialization * Various cleanups Add informational output when overrides are applied Warn user when an override with the wrong type is specified * Fix broken logic for parsing bool KV overrides Fix issue where overrides didn't apply when key missing in GGUF metadata Resolve merge changes * llama : rearrange model params * Update new GET_KEY call Add note that metadata KV overrides aren't reflected in initial metadata KV info dump --------- Co-authored-by: cebtenzzre <cebtenzzre@gmail.com> Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-12-05sampling : custom samplers order (#4285)MaggotHATE
* Samplers sequence order w parameter * Cleaned commented code * Fixed formatting * Rewrote with unordered_map * Revert and rewrite, too many problems and safeguards would be needed * Fixed code style * Code style fixes according to review * More readable samplers input string, fixed help * Style fix in sampler_queue * Formatting fixes * Fixing whitespaces
2023-12-04grammar-parser : fix typo (#4318)Ikko Eltociear Ashimine
preceeding -> preceding
2023-12-01build : fix build info generation and cleanup Makefile (#3920)Jared Van Bortel
* cmake : fix joining of REAL_GIT_DIR * fix includes with help from include-what-you-use * make : remove unneeded deps and add test-rope target * fix C includes in C++ source files * Revert "fix includes with help from include-what-you-use" This reverts commit 635e9fadfd516d4604a0fecf4a854bfb25ad17ae.
2023-11-27cmake : fix issue with version info not getting baked into LlamaConfig.cmake ↵bandoti
(#3970) * Split CPP generation from build-info query * Remove blank lines * Add BUILD_SHARED_LIBS option
2023-11-23llama : KV cache view API + better KV cache management (#4170)Georgi Gerganov
* llama : keep track of used KV cells + better KV cache management * llama : zero KV cache used upon clear ggml-ci * llama : allow exporting a view of the KV cache (#4180) * Allow exporting a view of the KV cache * Allow dumping the sequences per cell in common * Track max contiguous cells value and position as well * Fix max contiguous empty cells index calculation Make dump functions deal with lengths or sequences counts > 10 better * Fix off by one error in dump_kv_cache_view * Add doc comments for KV cache view functions Eliminate cell sequence struct; use llama_seq_id directly Minor cleanups * common : add -dkvc arg for enabling kv cache dumps --------- Co-authored-by: Kerfuffle <44031344+KerfuffleV2@users.noreply.github.com>
2023-11-20main : Add ChatML functionality to main example (#4046)Seb C
Co-authored-by: Sebastian Cramond <sebby37@users.noreply.github.com>
2023-11-19common : comma should be semicolon (#4137)kchro3
2023-11-17common : improve yaml log escaping (#4080)Jannis Schönleber
* logging: improve escaping in yaml output * logging: include review feedback
2023-11-17train : move number of gpu layers argument parsing to common/train.cpp (#4074)Jiří Podivín
- introduces help entry for the argument - cuts '--gpu-layers' form in order to simplify usage and documentation. Signed-off-by: Jiri Podivin <jpodivin@gmail.com> Co-authored-by: Jiri Podivin <jpodivin@redhat.com>
2023-11-16Respect tokenizer.ggml.add_bos_token value when tokenizing (#4040)Kerfuffle
* gguf-py: gguf-dump: Respect --no-tensor flag in JSON mode. * Respect add_bos_token GGUF metadata value * gguf-py: Try to fix SpecialVocab giving up too easily for the Nth time
2023-11-13sync : ggml (backend v2) (#3912)Georgi Gerganov
* sync : ggml (backend v2) (wip) * sync : migrate examples and llama.cpp to dynamic graphs (wip) * sync : update tests + fix max op params to 64 ggml-ci * sync : ggml-cuda ggml-ci * llama : fix save/load state context size ggml-ci * sync : try to fix build on tvOS * sync : pass custom graph sizes in training examples * sync : update graph copies to new ggml API * sync : update sync-ggml.sh with new files * scripts : fix header in sync script * train : fix context size calculations * llama : increase inference graph size up to 4096 nodes * train : allocate grads for backward graphs * train : allocate grads for gb_tmp
2023-11-07llava : expose as a shared library for downstream projects (#3613)Damian Stewart
* wip llava python bindings compatibility * add external llava API * add base64 in-prompt image support * wip refactor image loading * refactor image load out of llava init * cleanup * further cleanup; move llava-cli into its own file and rename * move base64.hpp into common/ * collapse clip and llava libraries * move llava into its own subdir * wip * fix bug where base64 string was not removed from the prompt * get libllava to output in the right place * expose llava methods in libllama.dylib * cleanup memory usage around clip_image_* * cleanup and refactor *again* * update headerdoc * build with cmake, not tested (WIP) * Editorconfig * Editorconfig * Build with make * Build with make * Fix cyclical depts on Windows * attempt to fix build on Windows * attempt to fix build on Windows * Upd TODOs * attempt to fix build on Windows+CUDA * Revert changes in cmake * Fix according to review comments * Support building as a shared library * address review comments --------- Co-authored-by: M. Yusuf Sarıgöz <yusufsarigoz@gmail.com> Co-authored-by: Jared Van Bortel <jared@nomic.ai>
2023-11-05ggml-cuda : fix f16 mul mat (#3961)slaren
* ggml-cuda : fix f16 mul mat ggml-ci * silence common.cpp warning (bonus)
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