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2023-07-23Add gqa parameter support to the server (#2351)IgnacioFDM
* Add gqa parameter support to the server * Change help from stderr to stdout
2023-07-23common : n_threads == -1 uses std::thread::hardware_concurrency() (#2347)wzy
* Fix #2345, fix incorrect n_threads * Update examples/common.cpp --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-07-23llama : grouped-query attention + LLaMAv2 70B support (#2276)Georgi Gerganov
* CUDA: GQA implementation * llama : support for GQA and LLaMAv2 70B ggml-ci * py : fix hparams parsing (if-else blocks) ggml-ci * py : oh boy .. ggml-ci * help : fix gqa value for 70B ggml-ci --------- Co-authored-by: JohannesGaessler <johannesg@5d6.de>
2023-07-23llama : print help to stdout (#2338)maddes8cht
2023-07-23examples : simplify vim plugin (#2327)AustinMroz
Uses builtin json_encode and json_decode functions to simplify escaping Removes the need for temp files
2023-07-22llama : optimize memory buffers (#2325)Georgi Gerganov
2023-07-22Perplexity: Compute scores correlated to HellaSwag (#2312)klosax
* Add parameter --perplexity-lines to perplexity.cpp
2023-07-22examples : basic VIM pluginwhoreson
VIM plugin for server exe
2023-07-21examples : add easy python script to create quantized (k-bit support) GGML ↵Richard Roberson
models from local HF Transformer models (#2311) * Resync my fork with new llama.cpp commits * examples : rename to use dash instead of underscore --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-07-21examples : fix typo in minigpt4.py (#2298)Ikko Eltociear Ashimine
promt -> prompt
2023-07-21ggml : fix rope args order + assert (#2054)Georgi Gerganov
2023-07-21llama : remove cfg smooth factor as it is only a reparameterization of the ↵Guillaume "Vermeille" Sanchez
guidance scale (#2280)
2023-07-21gitignore : changes for Poetry users + chat examples (#2284)Jose Maldonado
A fix in Makefile for FreeBSD users. In the platfrom x86_64 is amd64. This fix resolve compilation using CFLAGS and CXXFLAGS with -march=native and -mtune=native Add two examples for interactive mode using Llama2 models (thx TheBloke for models) Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-07-21llama : make tensor_split ptr instead of array (#2272)Georgi Gerganov
2023-07-21MIKU MAYHEM: Upgrading the Default Model for Maximum Fun 🎉 (#2287)Hatsune Miku
* Miku.sh: Set default model to llama-2-7b-chat * Miku.sh: Set ctx_size to 4096 * Miku.sh: Add in-prefix/in-suffix opts * Miku.sh: Switch sampler to mirostat_v2 and tiny prompt improvements
2023-07-21make : fix embdinput library and server examples building on MSYS2 (#2235)Przemysław Pawełczyk
* make : fix embdinput library and server examples building on MSYS2 * cmake : fix server example building on MSYS2
2023-07-19cmake : install targets (#2256)wzy
fix #2252
2023-07-18ci : integrate with ggml-org/ci (#2250)Georgi Gerganov
* ci : run ctest ggml-ci * ci : add open llama 3B-v2 tests ggml-ci * ci : disable wget progress output ggml-ci * ci : add open llama 3B-v2 tg tests for q4 and q5 quantizations ggml-ci * tests : try to fix tail free sampling test ggml-ci * ci : add K-quants ggml-ci * ci : add short perplexity tests ggml-ci * ci : add README.md * ppl : add --chunks argument to limit max number of chunks ggml-ci * ci : update README
2023-07-18llama : shorten quantization descriptionsGeorgi Gerganov
2023-07-15llama : add custom RoPE (#2054)Xiao-Yong Jin
* Implement customizable RoPE The original RoPE has pre-defined parameters theta_i = 10000^(−2(i−1)/d), for i in [1, 2, ..., d/2] Our customizable RoPE, ggml_rope_custom_inplace, uses theta_i = scale * base^(−2(i−1)/d), for i in [1, 2, ..., d/2] with the default matches the original scale = 1.0 base = 10000 The new command line arguments --rope-freq-base --rope-freq-scale set the two new RoPE parameter. Recent researches show changing these two parameters extends the context limit with minimal loss. 1. Extending Context to 8K kaiokendev https://kaiokendev.github.io/til#extending-context-to-8k 2. Extending Context Window of Large Language Models via Positional Interpolation Shouyuan Chen, Sherman Wong, Liangjian Chen, Yuandong Tian https://arxiv.org/abs/2306.15595 3. NTK-Aware Scaled RoPE allows LLaMA models to have extended (8k+) context size without any fine-tuning and minimal perplexity degradation. https://www.reddit.com/user/bloc97 https://www.reddit.com/r/LocalLLaMA/comments/14lz7j5/ntkaware_scaled_rope_allows_llama_models_to_have/ For the bold, try adding the following command line parameters to your favorite model: -c 16384 --rope-freq-base 80000 --rope-freq-scale 0.5 * ggml-metal: fix custom rope * common: fix argument names in help * llama: increase MEM_REQ_EVAL for MODEL_3B It avoids crashing for quantized weights on CPU. Better ways to calculate the required buffer size would be better. * llama: make MEM_REQ_EVAL depend on n_ctx * server: use proper Content-Type in curl examples Without the header Content-Type: application/json, curl will POST with Content-Type: application/x-www-form-urlencoded Though our simple server doesn't care, the httplib.h used has a limit with CPPHTTPLIB_FORM_URL_ENCODED_PAYLOAD_MAX_LENGTH 8192 With Content-Type: application/json, we can send large json data. * style : minor fixes, mostly indentations * ggml : fix asserts --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-07-14examples : fixed path typos in embd-input (#2214)Shangning Xu
2023-07-13Revert "Support using mmap when applying LoRA (#2095)" (#2206)Howard Su
Has perf regression when mlock is used. This reverts commit 2347463201a9f4159ae95b737e1544dd300569c8.
2023-07-11ggml : remove src0 and src1 from ggml_tensor and rename opt to src (#2178)Spencer Sutton
* Add ggml changes * Update train-text-from-scratch for change * mpi : adapt to new ggml_tensor->src --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-07-11llama : add classifier-free guidance (#2135)Bach Le
* Initial implementation * Remove debug print * Restore signature of llama_init_from_gpt_params * Free guidance context * Make freeing of guidance_ctx conditional * Make Classifier-Free Guidance a sampling function * Correct typo. CFG already means context-free grammar. * Record sampling time in llama_sample_classifier_free_guidance * Shift all values by the max value before applying logsoftmax * Fix styling based on review
2023-07-11Support using mmap when applying LoRA (#2095)Howard Su
* Support using mmap when applying LoRA * Fix Linux * Update comment to reflect the support lora with mmap
2023-07-10mpi : add support for distributed inference via MPI (#2099)Evan Miller
* MPI support, first cut * fix warnings, update README * fixes * wrap includes * PR comments * Update CMakeLists.txt * Add GH workflow, fix test * Add info to README * mpi : trying to move more MPI stuff into ggml-mpi (WIP) (#2099) * mpi : add names for layer inputs + prep ggml_mpi_graph_compute() * mpi : move all MPI logic into ggml-mpi Not tested yet * mpi : various fixes - communication now works but results are wrong * mpi : fix output tensor after MPI compute (still not working) * mpi : fix inference * mpi : minor * Add OpenMPI to GH action * [mpi] continue-on-error: true * mpi : fix after master merge * [mpi] Link MPI C++ libraries to fix OpenMPI * tests : fix new llama_backend API * [mpi] use MPI_INT32_T * mpi : factor out recv / send in functions and reuse * mpi : extend API to allow usage with outer backends (e.g. Metal) --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-07-09main : escape prompt prefix/suffix (#2151)Nigel Bosch
2023-07-07ggml : change ggml_graph_compute() API to not require context (#1999)Qingyou Meng
* ggml_graph_compute: deprecate using ggml_context, try resolve issue #287 * rewrite: no longer consider backward compitability; plan and make_plan * minor: rename ctx as plan; const * remove ggml_graph_compute from tests/test-grad0.c, but current change breaks backward * add static ggml_graph_compute_sugar() * minor: update comments * reusable buffers * ggml : more consistent naming + metal fixes * ggml : fix docs * tests : disable grad / opt + minor naming changes * ggml : add ggml_graph_compute_with_ctx() - backwards compatible API - deduplicates a lot of copy-paste * ci : enable test-grad0 * examples : factor out plan allocation into a helper function * llama : factor out plan stuff into a helper function * ci : fix env * llama : fix duplicate symbols + refactor example benchmark * ggml : remove obsolete assert + refactor n_tasks section * ggml : fix indentation in switch * llama : avoid unnecessary bool * ggml : remove comments from source file and match order in header --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-07-06convert : update for baichuan (#2081)Judd
1. guess n_layers; 2. relax warnings on context size; 3. add a note that its derivations are also supported. Co-authored-by: Judd <foldl@boxvest.com>
2023-07-06alpaca.sh : update model file name (#2074)tslmy
The original file name, `ggml-alpaca-7b-q4.bin`, implied the first-generation GGML. After the breaking changes (mentioned in https://github.com/ggerganov/llama.cpp/issues/382), `llama.cpp` requires GGML V3 now. Those model files are named `*ggmlv3*.bin`. We should change the example to an actually working model file, so that this thing is more likely to run out-of-the-box for more people, and less people would waste time downloading the old Alpaca model.
2023-07-05Expose generation timings from server & update completions.js (#2116)Tobias Lütke
* use javascript generators as much cleaner API Also add ways to access completion as promise and EventSource * export llama_timings as struct and expose them in server * update readme, update baked includes * llama : uniform variable names + struct init --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-07-05Update Server Instructions (#2113)Jesse Jojo Johnson
* Update server instructions for web front end * Update server README * Remove duplicate OAI instructions * Fix duplicate text --------- Co-authored-by: Jesse Johnson <thatguy@jessejojojohnson.com>
2023-07-05ggml : generalize `quantize_fns` for simpler FP16 handling (#1237)Stephan Walter
* Generalize quantize_fns for simpler FP16 handling * Remove call to ggml_cuda_mul_mat_get_wsize * ci : disable FMA for mac os actions --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-07-05Update server instructions for web front end (#2103)Jesse Jojo Johnson
Co-authored-by: Jesse Johnson <thatguy@jessejojojohnson.com>
2023-07-05embd-input: Fix input embedding example unsigned int seed (#2105)Nigel Bosch
2023-07-04Add an API example using server.cpp similar to OAI. (#2009)jwj7140
* add api_like_OAI.py * add evaluated token count to server * add /v1/ endpoints binding
2023-07-04Simple webchat for server (#1998)Tobias Lütke
* expose simple web interface on root domain * embed index and add --path for choosing static dir * allow server to multithread because web browsers send a lot of garbage requests we want the server to multithread when serving 404s for favicon's etc. To avoid blowing up llama we just take a mutex when it's invoked. * let's try this with the xxd tool instead and see if msvc is happier with that * enable server in Makefiles * add /completion.js file to make it easy to use the server from js * slightly nicer css * rework state management into session, expose historyTemplate to settings --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-07-04fix server crashes (#2076)Henri Vasserman
2023-07-03server: add option to output probabilities for completion (#1962)WangHaoranRobin
* server: add option to output probabilities for completion * server: fix issue when handling probability output for incomplete tokens for multibyte character generation * server: fix llama_sample_top_k order * examples/common.h: put all bool variables in gpt_params together
2023-07-01embd-input : fix returning ptr to temporaryGeorgi Gerganov
2023-07-01train : fix compile warningGeorgi Gerganov
2023-06-29Use unsigned for random seed (#2006)Howard Su
* Use unsigned for random seed. Keep -1 as the value to use a time based seed. Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-06-28CUDA GPU acceleration for LoRAs + f16 models (#1970)Johannes Gäßler
2023-06-28llama : support input embeddings directly (#1910)ningshanwutuobang
* add interface for float input * fixed inpL shape and type * add examples of input floats * add test example for embd input * fixed sampling * add free for context * fixed add end condition for generating * add examples for llava.py * add READMD for llava.py * add READMD for llava.py * add example of PandaGPT * refactor the interface and fixed the styles * add cmake build for embd-input * add cmake build for embd-input * Add MiniGPT-4 example * change the order of the args of llama_eval_internal * fix ci error
2023-06-27baby-llama : fix build after ggml_rope change (#2016)Howard Su
2023-06-27llama : fix rope usage after ChatGLM changeGeorgi Gerganov
2023-06-26ggml : increase max tensor name + clean up compiler warnings in train-text ↵David Yang
(#1988) * Clean up compiler warnings in train-text Some brackets to disambiguate order of operations * Increase GGML_MAX_NAME Avoiding strncpy danger in train-text-from-scratch and reducing potential future name length issues
2023-06-26ggml : add NUMA support (#1556)zrm
* detect NUMA systems and pin work threads to nodes (linux) * disable mmap prefetch/readahead for NUMA systems * avoid sending finalize op to thread pool if it does nothing * silence robot * fix args * make --numa a param * recommendation that n_nodes evenly divide n_threads did not warrant such aggressive enforcement * lower synchronization overhead * statically allocate * move numa state to g_state * add description for --numa * ggml : minor style changes * ggml : minor style + try fix sanitizer build * llama : allow to initialize backend with NUMA support * llama : avoid ggml include in llama-util.h * ggml : style / formatting * ggml : fix handling of ops with n_threads > n_tasks > 1 * server : utilize numa parameter --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-06-25fix server sampling: top k sampler first (#1977)anon998
Co-authored-by: anon <anon@example.org>
2023-06-24llama : make model stateless and context stateful (llama_state) (#1797)Didzis Gosko
* llama : make model stateless and context stateful * llama : minor cleanup * llama : update internal API declaration * Apply suggestions from code review fix style Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Missing model memory release * Fix style * Add deprecated warning for public API function llama_init_from_file * Update public API use cases: move away from deprecated llama_init_from_file * Deprecate public API function llama_apply_lora_from_file --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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