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2025-02-09Add optional MLA (#188)Kawrakow
* Deepseek MLA Optimizations Co-authored-by: Stanisław Szymczyk <sszymczy@gmail.com> * Make MLA optional * Remove some unnecessary copies in the MLA attention * Deepseek MLA Optimizations V2 (#195) * Avoid allocating MHA KV cache when MLA is turned on * Added missing gguf-py file * Added final optimizations Co-authored-by: Stanisław Szymczyk <sszymczy@gmail.com> * Make sure we do have wk_b and wv_b before enabling MLA --------- Co-authored-by: Stanisław Szymczyk <sszymczy@gmail.com> Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com> * Use type_k and type_v to set the types of the MLA caches They were hard-coded at f16. On my Ryzen-7950X with native bf16 support I get a fairly significant PP performance boost with bf16 KV-cache: PP-4096 = 320 t/s up from 292 t/s with fp16 KV-cache. * Better gemm strategy when nth > nhead It gives a ~10% PP performance boost for DeepSeek-Lite with 32 threads (with or without MLA). Before this commit, when nth > nhead heads were processed sequentially with all nth threads participating in each matrix multiplication. Now we ind the gcd of nhead and nth and split threads into nth/gcd groups, each group processing nhead/gcd heads. --------- Co-authored-by: Saood Karim <saood05@gmail.com> Co-authored-by: Stanisław Szymczyk <sszymczy@gmail.com> Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2024-12-17Be able to repack tensors at run time (#147)Kawrakow
* Be able to repack tensors at run time * Repack: also add bf16 as repackable type * Repack: make sure number of rows is a multiple of the packing --------- Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2024-09-02Do not process prompts containing binary data for escapes (#33)Kawrakow
Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2024-08-12Merge mainline - Aug 12 2024 (#17)Kawrakow
* Merge mainline * Fix after merge * Remove CI check --------- Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2024-07-27Merge mainline llama.cpp (#3)Kawrakow
* Merging mainline - WIP * Merging mainline - WIP AVX2 and CUDA appear to work. CUDA performance seems slightly (~1-2%) lower as it is so often the case with llama.cpp/ggml after some "improvements" have been made. * Merging mainline - fix Metal * Remove check --------- Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2024-06-26imatrix: be able to specify the name of the output tensorIwan Kawrakow
For some models the same tensor is used for token embeddings and output. This tensor tends to be named token_embedding.weight rather than output.weight, which prevernts us from collecting imatrix data for this tensor. With this commit we can tell the name of the output tensor to the imatrix tool.
2024-06-18chore: clean useless beam search param (#7985)Frank Mai
Signed-off-by: thxCode <thxcode0824@gmail.com>
2024-06-15Add `cvector-generator` example (#7514)Xuan Son Nguyen
* add control-vector-generator * calc diff * add comments * proof-of-concept stdlib implementation Implements PCA and file writing using mostly standard libraries. The output is recognized as a functional control vector, but outputs gibberish. * param parsing, refactor, comments Added basic command-line parameters for outfile and one each positive/negative prompt. Refactored some messy code in PCA computation and GGUF exporting. Left a bunch of comments regarding further work needed. * example template completions Implements an example template set built from the positive/negative prompts like the control vector Python implementation. * add multi prompts, multi-thread for PCA * fix mem error * add debugs * fix matrix transpose multiplication you have got to be kidding me * preliminary template/multiprompt support model is running out of context and that ought to be fixed (segfaulting) but other than that it looks goodish * fix zero output & param parsing, functional templating fixed a bug where the output file had no tensor data/was all zero fixed a bug where single hyphen flags were not being correctly parsed implements creation of templated prompts from input (still need to adapt based on model) * fix square_diff matmul index range and CRLF->LF line endings fixed a logic error where square_diff would not multiply all rows fixed a formatting error where the provided completions.txt had CRLF line endings * add command-line args for num threads, num completions file lines, always reload model refactored a few things and did what the commit message says on the tin * code aestheticization * fix compiler warnings * in-series multithreading for prompt embedding? added commented-out code to attempt to start implementing mutlithreading for embedding in main * remove unnecessary multithreading * interim fix memory leak * translated everything but PCA (I think) * tentatively translate the rest * fix ggml errors and make new ones at least it compiles and runs * fix cb_eval * temporary commit while I move dev environments it finally outputs a functioning control vector - "functioning" in the sense that it can be loaded and it clearly has the right idea, but makes the model incoherent * update debug statements * pre-tokenize so we can allocate correct memory to ctx_diffs_wrapped * update comments * (wip) refactor * clean up PCA ggml implementation * fix shape of v_diff_original * add n_batch for pca * working version * remember to copy back the last_eigenvector * fix n_completions * bring back n_completions * default n_pca_batch to 20 * fix macos build * add to makefile all targets * use ggml_format_name * add readme * fix .editorconfig * use ggml_backend_tensor_copy * attemp to fix compile problem on mac * fix compile warn * reuse allocr * move param parser to common * better error handling * clean up a bit * add print_usage * shorten help msg * beautify help msg * escape prompt by default * change compile target to llama-cvector-generator * typo * disable GPU for PCA * code style --------- Co-authored-by: Christian Zhou-Zheng <christianzhouzheng@gmail.com>
2024-06-08url: save -mu downloads to new cache location (#7826)Olivier Chafik
* url: save -mu download to new cache location * url: fs_get_cache_file_path util * url: tweak sig of fs_get_cache_file
2024-06-08server : smart slot selection using Longest Common Prefix (#7728)sasha0552
* server : Smart selection of available slot using Longest Common Substring * add usage * remove trailing whitespaces * Use Longest Common Prefix (LCP) instead of LCS * Rename argument
2024-06-06server : fix --threads-http arg (#7801)Georgi Gerganov
2024-06-06imatrix : migrate to gpt_params (#7771)Georgi Gerganov
* imatrix : migrate to gpt_params ggml-ci * imatrix : add --save-frequency cli arg * common : fix --no-ppl
2024-06-04common : refactor cli arg parsing (#7675)Georgi Gerganov
* common : gpt_params_parse do not print usage * common : rework usage print (wip) * common : valign * common : rework print_usage * infill : remove cfg support * common : reorder args * server : deduplicate parameters ggml-ci * common : add missing header ggml-ci * common : remote --random-prompt usages ggml-ci * examples : migrate to gpt_params ggml-ci * batched-bench : migrate to gpt_params * retrieval : migrate to gpt_params * common : change defaults for escape and n_ctx * common : remove chatml and instruct params ggml-ci * common : passkey use gpt_params
2024-05-27main: replace --no-special with --special (#7534)Brian
This also flips the default behavior of the output to not include control token by default.
2024-05-25main : don't print special tokens with --grammar (#6923)Justine Tunney
* main : don't print special tokens with --grammar The CLI interface was recently changed to print special control tokens like the </s> stop message one. This token shouldn't be printed if the grammar flag was passed, unless the grammar specifies it, because that breaks shell-scriptability. * main: use seperate stream for control characters * main: use dprintf and add --ctrl-token-no-out and --ctrl-token-fd-out * main: dprintf isn't part of the IEEE POSIX standard. Just use write(). * main: remove --ctrl-token-fd-out in favor for fcntl() based detection * common.cpp: accidentally removed --interactive-first * main: only merge stdout and control token if not in conversation or grammar mode * main: rejig control token descriptor handling * main: must check pipe status on very top of program * main: renamed --no-special from --ctrl-token-no-out and other refactoring * main: refactor ctrl_token_no_out --> no_special * llama: rename llama_token_is_control_token() to llama_token_is_control() * main: remove special token file descriptor feature (#5) --------- Co-authored-by: Brian <mofosyne@gmail.com>
2024-05-22common : normalize naming style (#7462)Georgi Gerganov
* common : normalize naming style ggml-ci * common : match declaration / definition order * zig : try to fix build
2024-05-21examples: cache hf model when --model not provided (#7353)Amir
* examples: cache hf model when --model not provided * examples: cache hf model when --model not provided * examples: cache hf model when --model not provided * examples: cache hf model when --model not provided * examples: cache hf model when --model not provided
2024-05-14ggml : add RPC backend (#6829)Radoslav Gerganov
* ggml : add RPC backend The RPC backend proxies all operations to a remote server which runs a regular backend (CPU, CUDA, Metal, etc). * set TCP_NODELAY * add CI workflows * Address review comments * fix warning * implement llama_max_devices() for RPC * Address review comments * Address review comments * wrap sockfd into a struct * implement get_alignment and get_max_size * add get_device_memory * fix warning * win32 support * add README * readme : trim trailing whitespace * Address review comments * win32 fix * Address review comments * fix compile warnings on macos
2024-05-10Main+: optionally allow special tokens from user in interactive mode (#7097)HanishKVC
@hanishkvc added a new `--interactive-specials` flag which would allow for inserting special tokens from user side into the embedding stream.
2024-05-08main : add --conversation / -cnv flag (#7108)Dawid Potocki
2024-04-30perplexity: more statistics, added documentation (#6936)Johannes Gäßler
* perplexity: more statistics, added documentation * add LLaMA 3 8b scoreboard
2024-04-30ggml : add Flash Attention (#5021)Georgi Gerganov
* ggml : add ggml_flash_attn_ext API * ggml : fix GQA support in ggml_flash_attn_ext * ggml : online attention (CPU) * metal : initial implementation * metal : f16 precision * metal : reduce branches * metal : specialize for head size * wip : 8 rows per simd group * wip : 4 rows per simd group * wip : template for rows per warp * metal : parallelize across KV size * metal : parallel reduce across heads * metal : efficient flash_attn_f16 implementation * metal : avoid redundant loads of the attention * metal : scale and mask in matrix form * metal : fix comment * llama : avoid ggml_cast, use F32 query * metal : add parallel reduce version (disabled) * metal : move output into local memory + optimize - the result from each simdgroup now stays in the registers - significantly reduced SRAM usage - more efficient skipping of -INF blocks - avoid simdgroup barrier in hot loop - add comments * metal : add tests, fix scaling, support C > 32 * metal : improve precision * ggml : fix f16 mad * metal : minor * metal : support Q > 8 * tests : add ATTN tests * metal : disable buffer allocation logs * tests : more * metal : faster inner loop for C == 32 * metal : fix array initialization * tests : ifdef * ggml : switch to padded F16 mask for ggml_soft_max, ggml_flash_attn_ext * ggml : fix ggml_soft_max mask requirement * cuda : fix soft_max to use correct mask size * cuda : add flash_attn kernel (wip) * metal : optimize softmax for C > 32 * metal : optimize softmax * tests : minor fix * cuda : avoid zeroing fragments * tests : update dims * cuda : fix __hisinf() result check * cuda : avoid warp_reduce for smax * cuda : use int instead of int64_t Noticeably improves performance (thanks to Johannes) * cuda : make loops use the same loop values Thanks Johannes again for the tip * cuda : unroll some of the loops * cuda : avoid __hisinf branches * cuda : use half2 in softmax * cuda : switch to 1 warp for bs > 16 * cuda : speed-up reduce part of the kernel * cuda : unroll Q*K^T loop * cuda : fix -INF block check * cuda : simplify softmax * cuda : fix matrix names * cuda : minor * llama : adapt to F16 KQ_pos * llama : adapt new models to F16 KQ_mask * ggml : fix F16 store (ARM NEON) * llama : fix type of KQ_mask and KQ_pos * ggml : fix CPU soft_max * tests : add hs=256 * cuda : fix build * metal : improve perf via smaller int registers * cuda : adapt soft_max to F16 mask and pos * CUDA: faster FlashAttention, kernel for bs == 1 * 16 cols for Phi-2 * no vec for hs, no hs==256 ncols==32 for Volta * adjust kernel selection logic * 4 warps, 256 stride for all D * no ncols == 64 * Multiple parallel blocks for batch size 1 * fix compile warnings * fix excessive KQ_b loads * fix cmake build * fix KV cache padding, NaN from INFINITY (#6438) * llama : flash_attn cparam + fix defrag * server: support flash_attn param * server: bench: enable flash_attn param * CUDA: refactor host code, dyn. par. blocks * fix flash_attn_vec_f16 race condition * flush softmax exp below threshold to 0 * store temp KQ in registers * Calculate KQ as FP32 if KQV has GGML_PREC_F32 * Add __hgt2_mask implementation for CUDA 11 * fix KQ FP32 precision fpr parallel_blocks > 1 * llama-bench : add -fa,--flash-attn arg * metal : add BS=1 kernel for flash attention (#6508) * metal : add BS=1 kernel for flash attention (wip) * metal : support more than 1 warps * metal : opts * metal : opt * metal : switch to parallel reduce * metal : reduce registers * metal : simplify * metal : initial FA vec kernel * metal : use F32 attention accumulators * batched-bench : add fattn arg * llama : simplify llama_build_kv_store ggml-ci * llama : adapt build_olmo to changes * ggml : fix arm fp16 store on windows * metal : clean-up * metal : clean-up kernel code * metal : minor * tests : remove benchmarks ggml-ci * ggml : fix avx512 const correctness ggml-ci * ggml : fix soft_max with bias on CPU ggml-ci * common : print --flash-attn in help * ggml : fix num dimensions in ggml_flash_attn_ext * llama : force disable flash attention for incompatible models * ggml : ggml_soft_max support F16/F32 mask/pos ggml-ci * cuda : uint -> uint32_t * cuda : "constexpr dim3" -> "const dim3" ggml-ci * cuda : try to fix __hgt2_mask ggml-ci * ggml : add TODO's for F16/F32 mask/pos support in other backends * llama : replace bool need_kq_pos with use_alibi * llama : prep ALiBi support for BERT models ggml-ci * llama : fix n_batch requirements ggml-ci * cont * server : add help for --flash-attn arg * llama : disable FA for AMD * tests : remove TMP_ATTN_BENCH ggml-ci * llama : support save/load state with FA enabled ggml-ci * ci : add CUDA save-load-state tests ggml-ci * llama : llama_kv_cache_clear zeroes data + fix save-load seq ggml-ci * llama : fix copy-paste errors, add TODO * llama : disallow incompatible states * llama : update llama_state_get_size after v_trans field * metal : remove tmp log * llama : add static reminder for llama_state_get_size * metal : fix max nsg ggml-ci * ci : fix arg order ggml-ci --------- Co-authored-by: Johannes Gäßler <johannesg@5d6.de> Co-authored-by: Pierrick HYMBERT <pierrick.hymbert@gmail.com>
2024-04-30Improve usability of --model-url & related flags (#6930)Olivier Chafik
* args: default --model to models/ + filename from --model-url or --hf-file (or else legacy models/7B/ggml-model-f16.gguf) * args: main & server now call gpt_params_handle_model_default * args: define DEFAULT_MODEL_PATH + update cli docs * curl: check url of previous download (.json metadata w/ url, etag & lastModified) * args: fix update to quantize-stats.cpp * curl: support legacy .etag / .lastModified companion files * curl: rm legacy .etag file support * curl: reuse regex across headers callback calls * curl: unique_ptr to manage lifecycle of curl & outfile * curl: nit: no need for multiline regex flag * curl: update failed test (model file collision) + gitignore *.gguf.json
2024-04-29llava-cli : multiple images (#6969)cpumaxx
Co-authored-by: root <root@nenya.lothlorien.ca>
2024-04-29llama : fix BPE pre-tokenization (#6920)Georgi Gerganov
* 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>
2024-04-26quantize: add imatrix and dataset metadata in GGUF (#6658)Pierrick Hymbert
* imatrix: save the dataset file used in the output file * llama: support kv overrides type string string * common: factorize KV Overrides parsing between common and server * quantize: add imatrix n entries and dataset KV metadata quantize: factorize KV Overrides parsing between common #6656 * llama: remove kv override str_value initialization as it does not compile on some toolchain * quantize: add imatrix m_last_call as `quantize.imatrix.chunks_count` * quantize: add imatrix filename in KV * llama: add llama_model_kv_override_free * common: add llama_model_kv_override_free common: free kv override if used after model loading * llama: finally move the string KV override value to the stack * llama : minor * no need to add a NUL to the std::vector, std::string can be initialized from a pair of iterators. Co-authored-by: slaren <slarengh@gmail.com> * kv override: ensure string termination --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> Co-authored-by: slaren <slarengh@gmail.com>
2024-04-26add basic tensor data validation function (#6884)slaren
* add basic tensor data validation function * add --check-tensors command line argument tensor validation is disabled by default and can be enabled by adding `--check-tensors` to the command line arguments. quantize always validates tensors.
2024-04-24llama : add llama_get_pooling_type function (#6862)Douglas Hanley
* add llama_get_pooling_type function * fix argument name, move with ctx funcs
2024-04-24common : revert showing control tokens by default for server (#6860)Kyle Mistele
* fix: revert showing control tokens by default * feat: revert changes to default behavior of llama_token_to_piece; provide overridden declaration to receive "bool special" param to toggle showing control tokens * feat: use the overridden declaration of llama_token_to_piece from common/common.cpp to specify "false" so that control tokens are not shown in chat completion responses" * common : simplify --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-04-16ggml : add llamafile sgemm (#6414)Justine Tunney
This change upstreams llamafile's cpu matrix multiplication kernels which improve image and prompt evaluation speed. For starters, Q4_0 and Q8_0 weights should go ~40% faster on CPU. The biggest benefits are with data types like f16 / f32, which process prompts 2x faster thus making them faster than quantized data types for prompt evals. This change also introduces bona fide AVX512 support since tinyBLAS is able to exploit the larger register file. For example, on my CPU llama.cpp llava-cli processes an image prompt at 305 tokens/second, using the Q4_K and Q4_0 types, which has always been faster than if we used f16 LLaVA weights, which at HEAD go 188 tokens/second. With this change, f16 LLaVA performance leap frogs to 464 tokens/second. On Intel Core i9-14900K this change improves F16 prompt perf by 5x. For example, using llama.cpp at HEAD with Mistral 7b f16 to process a 215 token prompt will go 13 tok/sec. This change has fixes making it go 52 tok/sec. It's mostly thanks to my vectorized outer product kernels but also because I added support for correctly counting the number of cores on Alderlake, so the default thread count discounts Intel's new efficiency cores. Only Linux right now can count cores. This work was sponsored by Mozilla who's given permission to change the license of this code from Apache 2.0 to MIT. To read more about what's improved, and how it works, see: https://justine.lol/matmul/
2024-04-11eval-callback: Example how to use eval callback for debugging (#6576)Pierrick Hymbert
* gguf-debug: Example how to use ggml callback for debugging * gguf-debug: no mutex, verify type, fix stride. * llama: cv eval: move cb eval field in common gpt_params * ggml_debug: use common gpt_params to pass cb eval. Fix get tensor SIGV random. * ggml_debug: ci: add tests * ggml_debug: EOL in CMakeLists.txt * ggml_debug: Remove unused param n_batch, no batching here * ggml_debug: fix trailing spaces * ggml_debug: fix trailing spaces * common: fix cb_eval and user data not initialized * ci: build revert label * ggml_debug: add main test label * doc: add a model: add a link to ggml-debug * ggml-debug: add to make toolchain * ggml-debug: tests add the main label * ggml-debug: ci add test curl label * common: allow the warmup to be disabled in llama_init_from_gpt_params * ci: add curl test * ggml-debug: better tensor type support * gitignore : ggml-debug * ggml-debug: printing also the sum of each tensor * ggml-debug: remove block size * eval-callback: renamed from ggml-debug * eval-callback: fix make toolchain --------- Co-authored-by: slaren <slarengh@gmail.com> Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-04-09BERT tokenizer fixes (#6498)Jared Van Bortel
Key changes: * BERT conversion: fix abuse of LlamaHfVocab, do not set BOS or EOS * Nomic Embed conversion: pad vocab instead of slicing embedding tensor * llama_tokenize: handle added special tokens like HF does
2024-04-08llama : save and restore kv cache for single seq id (#6341)Jan Boon
* llama : save and restore kv cache for single seq id * remove trailing whitespace * respond error in case there's no space in the kv cache * add kv seq save restore to test case * add --slot-save-path arg to enable save restore and restrict save location * Returning 0 for some cases, instead of asserting. * cleanup error cases * rename sequence state functions * rename state get set functions * add previous function names back in with DEPRECATED notice * update doc * adjust endpoints to preferred style * fix restoring zero cell count * handle seq rm return value * unused param * keep in the size check * fix return types * add server test case for slot save restore * cleanup * add cake * cleanup style * add special * removing a whole sequence never fails * move sequence state file functionality from server to llama to match session api and add version tags * catch exceptions on save as well * error log messages * check types for stricter restore * update server doc * readme : update API changes date * strict filename validation * move include, reject bom as well * also reject empty filename * reject whitespace and trailing dot --------- Co-authored-by: Martin Evans <martindevans@gmail.com> Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-03-25examples : add "retrieval" (#6193)Minsoo Cheong
* add `retrieval` example * add README * minor fixes * cast filepos on print * remove use of variable sized array * store similarities in separate vector * print error on insufficient batch size * fix error message printing * assign n_batch value to n_ubatch * fix param definitions * define retrieval-only parameters in retrieval.cpp * fix `--context-file` option to be provided multiple times for multiple files * use vector for `query_emb` * add usage description in README * fix merge conflict * fix usage printing * remove seed setting * fix lint * increase file read buffer size * retrieval : minor --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-03-23common: llama_load_model_from_url split support (#6192)Pierrick Hymbert
* llama: llama_split_prefix fix strncpy does not include string termination common: llama_load_model_from_url: - fix header name case sensitive - support downloading additional split in parallel - hide password in url * common: EOL EOF * common: remove redundant LLAMA_CURL_MAX_PATH_LENGTH definition * common: change max url max length * common: minor comment * server: support HF URL options * llama: llama_model_loader fix log * common: use a constant for max url length * common: clean up curl if file cannot be loaded in gguf * server: tests: add split tests, and HF options params * common: move llama_download_hide_password_in_url inside llama_download_file as a lambda * server: tests: enable back Release test on PR * spacing Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * spacing Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * spacing Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-03-23lookup: complement data from context with general text statistics (#5479)Johannes Gäßler
* lookup: evaluation tools, use corpus/previous gens * fixup! lookup: evaluation tools, use corpus/previous gens * fixup! lookup: evaluation tools, use corpus/previous gens * fixup! lookup: evaluation tools, use corpus/previous gens * fixup! lookup: evaluation tools, use corpus/previous gens
2024-03-22common : add HF arg helpers (#6234)Georgi Gerganov
* common : add HF arg helpers * common : remove defaults
2024-03-22server : enable continuous batching by default (#6231)Georgi Gerganov
2024-03-17common: llama_load_model_from_url using --model-url (#6098)Pierrick Hymbert
* common: llama_load_model_from_url with libcurl dependency Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-03-15llama : add support for control vectors (#5970)Theia Vogel
* control vector api and implementation * control-vectors : minor code style updates * disable control vector when data == nullptr use -1 for disabled range (also on init) in case we ever support controlling layer 0 (embeddings) --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-03-14embedding : print cosine similarity (#899)Georgi Gerganov
2024-03-13llama : add pipeline parallelism support (#6017)slaren
* llama : add pipeline parallelism support for batch processing with multiple CUDA GPUs ggml-ci * server : add -ub, --ubatch-size parameter * fix server embedding test * llama : fix Mamba inference for pipeline parallelism Tested to work correctly with both `main` and `parallel` examples. * llama : limit max batch size to n_batch * add LLAMA_SCHED_MAX_COPIES to configure the number of input copies for pipeline parallelism default increase to 4 (from 2) changing this value may improve performance for some systems, but increases memory usage * fix hip build * fix sycl build (disable cpy_tensor_async) * fix hip build * llama : limit n_batch and n_ubatch to n_ctx during context creation * llama : fix norm backend * batched-bench : sync after decode * swiftui : sync after decode * ggml : allow ggml_get_rows to use multiple threads if they are available * check n_ubatch >= n_tokens with non-casual attention * llama : do not limit n_batch to n_ctx with non-casual attn * server : construct batch with size of llama_n_batch * ggml_backend_cpu_graph_compute : fix return value when alloc fails * llama : better n_batch and n_ubatch comment * fix merge * small fix * reduce default n_batch to 2048 --------- Co-authored-by: Francis Couture-Harpin <git@compilade.net> Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-03-09server : normalize embeddings (#5956)SeungWon Jeong
* output normalize embedding in '/v1/embeddings' * common : reuse llama_embd_normalize * common : better normalize impl --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-03-04speculative : implement stochastic speculative sampling (#5625)Minsoo Cheong
* (WIP) Implement stochastic speculative decoding * sample from residual distribution on draft accept failure * fix #5657: force greedy sampling with probs when temp is 0 * remove p_accept parameter * fix style * remove unused variables * add srand() in speculative.cpp * replace use of rand() with mt19937 sampling * fixes based on review (@JohannesGaessler) * fix r random generation * randomly select next sequence to verify + fix bug in memory freeing * fix bug in active_seqs sync * fix uniform int distribution initialization * remove warnings from comparison between int and size_t * check grammar in `llama_sample_probability_distribution_impl` * remove malloc code by utilizing vectors * add PR link to README
2024-03-04common : use LLAMA_DEFAULT_SEED (#5855)DAN™
2024-03-03llama : allow for user specified embedding pooling type (#5849)Douglas Hanley
* allow for user specified pooling type * llama : use enum types over int --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-03-01llama : cleanup unused mmq flags (#5772)Pierrick Hymbert
* cleanup unused --no-mul-mat-q,-nommq, -mmq, --mul-mat-q, mul_mat_q * remove: mul_mat_q in compare llama bench and usage * update llama-bench --------- Co-authored-by: slaren <slarengh@gmail.com>
2024-02-27llama : fix defrag bugs + add parameter (#5735)Georgi Gerganov
* llama : fix defrag bugs + enable by default ggml-ci * llama : add defrag_thold parameter ggml-ci * llama : cont * llama : disable log message ggml-ci * llama : fix graph size check during defrag
2024-02-25code : normalize enum names (#5697)Georgi Gerganov
* coda : normalize enum names ggml-ci * code : cont * code : cont
2024-02-16server : add "samplers" param to control the samplers order (#5494)Alexey Parfenov
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