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2023-10-30ggml : move FP16 <-> FP32 code to ggml-impl.h (#3861)Georgi Gerganov
* ggml : move FP16 <-> FP32 stuff to ggml-impl.h ggml-ci * tests : fix ARM build * ggml : explicitly initialize deprecated type traits * ggml : add math.h to ggml-impl.h * ggml : remove duplicate static assert macros * ggml : prefix lookup tables with ggml_ ggml-ci * ggml-impl : move extern "C" to start of file
2023-10-29Extend llama_kv_cache_seq_rm to allow matching any sequence (#3843)Kerfuffle
* Extend llama_kv_cache_seq_rm to allow matichng any sequence * Replace llama_kv_cache_tokens_rm with llama_kv_cache_clear Use llama_kv_cache_clear for cache clearing Change calls to llama_kv_cache_tokens_rm that want to delete by position to use llama_kv_cache_seq_rm functionality
2023-10-29make : remove unnecessary dependency on build-info.h (#3842)cebtenzzre
2023-10-29llama : fix kv shift bug (#3835)Georgi Gerganov
ggml-ci
2023-10-29ggml : quantization refactoring (#3833)Georgi Gerganov
* ggml : factor all quantization code in ggml-quants ggml-ci * ggml-quants : fix Zig and Swift builds + quantize tool ggml-ci * quantize : --pure option for disabling k-quant mixtures --------- Co-authored-by: cebtenzzre <cebtenzzre@gmail.com>
2023-10-28flake : update flake.lock for newer transformers version + provide extra dev ↵Erik Scholz
shell (#3797) * flake : update flake.lock for newer transformers version + provide extra dev shell with torch and transformers (for most convert-xxx.py scripts)
2023-10-28metal : try cwd for ggml-metal.metal if bundle lookup fails (#3793)Aarni Koskela
* Try cwd for ggml-metal if bundle lookup fails When building with `-DBUILD_SHARED_LIBS=ON -DLLAMA_METAL=ON -DLLAMA_BUILD_SERVER=ON`, `server` would fail to load `ggml-metal.metal` because `[bundle pathForResource:...]` returns `nil`. In that case, fall back to `ggml-metal.metal` in the cwd instead of passing `null` as a path. Follows up on #1782 * Update ggml-metal.m --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-10-28issues : change label from bug to bug-unconfirmed (#3748)Georgi Gerganov
2023-10-28convert : ignore tokens if their IDs are within [0, vocab_size) (#3831)Georgi Gerganov
2023-10-28llama : allow quantizing k-quants to fall back when tensor size incompatible ↵Kerfuffle
(#3747) * Allow quantizing k-quants to fall back when tensor size incompatible * quantizing: Add warning when tensors were incompatible with k-quants Clean up k-quants state passing a bit
2023-10-28llama : add option for greedy sampling with probs (#3813)Georgi Gerganov
* llama : add option for greedy sampling with probs * llama : add comment about llama_sample_token_greedy() missing probs * sampling : temp == 0.0 -> no probs, temp < 0.0 -> probs
2023-10-28common : print that one line of the syntax help *also* to standard output ↵Henk Poley
(#3823)
2023-10-28starcoder : add GPU offloading (#3827)Georgi Gerganov
* starcoder : do not GPU split 1D bias tensors * starcoder : offload layers to GPU ggml-ci
2023-10-28speculative : ensure draft and target model vocab matches (#3812)Kerfuffle
* speculative: Ensure draft and target model vocab matches * Tolerate small differences when checking dft vs tgt vocab
2023-10-27llama : correctly report GGUFv3 format (#3818)cebtenzzre
2023-10-27simple : fix batch handling (#3803)Thibault Terrasson
2023-10-27cuda : improve text-generation and batched decoding performance (#3776)Georgi Gerganov
* cuda : prints wip * cuda : new cublas gemm branch for multi-batch quantized src0 * cuda : add F32 sgemm branch * cuda : fine-tune >= VOLTA params + use MMQ only for small batches * cuda : remove duplicated cuBLAS GEMM code * cuda : add CUDA_USE_TENSOR_CORES and GGML_CUDA_FORCE_MMQ macros * build : add compile option to force use of MMQ kernels
2023-10-26server : do not release slot on image input (#3798)Georgi Gerganov
2023-10-25batched-bench : print params at startGeorgi Gerganov
2023-10-25log : disable pid in log filenamesGeorgi Gerganov
2023-10-24server : add parameter -tb N, --threads-batch N (#3584) (#3768)cebtenzzre
Co-authored-by: Michael Coppola <m18coppola@gmail.com> Co-authored-by: Michael Coppola <info@michaeljcoppola.com>
2023-10-24server : do not block system prompt update (#3767)Georgi Gerganov
* server : do not block system prompt update * server : update state machine logic to process system prompts * server : minor
2023-10-24sync : ggml (conv ops + cuda MSVC fixes) (#3765)Georgi Gerganov
ggml-ci
2023-10-24cmake : add missed dependencies (#3763)John Smith
2023-10-24cuda : add batched cuBLAS GEMM for faster attention (#3749)Georgi Gerganov
* cmake : add helper for faster CUDA builds * batched : add NGL arg * ggml : skip nops in compute_forward * cuda : minor indentation * cuda : batched cuBLAS GEMMs for src0 F16 and src1 F32 (attention ops) * Apply suggestions from code review These changes plus: ```c++ #define cublasGemmBatchedEx hipblasGemmBatchedEx ``` are needed to compile with ROCM. I haven't done performance testing, but it seems to work. I couldn't figure out how to propose a change for lines outside what the pull changed, also this is the first time trying to create a multi-part review so please forgive me if I mess something up. * cuda : add ROCm / hipBLAS cublasGemmBatchedEx define * cuda : add cublasGemmStridedBatchedEx for non-broadcasted cases * cuda : reduce mallocs in cublasGemmBatchedEx branch * cuda : add TODO for calling cublas from kernel + using mem pool --------- Co-authored-by: Kerfuffle <44031344+KerfuffleV2@users.noreply.github.com>
2023-10-24Add more tokenizer tests (#3742)Galunid
* 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
2023-10-24metal : handle ggml_scale for n%4 != 0 (close #3754)Georgi Gerganov
ggml-ci
2023-10-23Revert "make : add optional CUDA_NATIVE_ARCH (#2482)"Georgi Gerganov
This reverts commit 96981f37b1e3f450d9e63e571514217bf60f0a7f. See: https://github.com/ggerganov/llama.cpp/pull/2482#issuecomment-1775975866
2023-10-23issues : separate bug and enhancement template + no default title (#3748)M. Yusuf Sarıgöz
2023-10-23Update special token handling in conversion scripts for gpt2 derived ↵Galunid
tokenizers (#3746) We still have the heads up in `README.md` regarding `bpe` tokenizers and this patch is needed for - a couple of tokenizer tests - some more `special` and `non-special` added tokens handling (as far as I understand it) * Update special token handling * Add mpt
2023-10-23llama : remove token functions with `context` args in favor of `model` (#3720)Marcus Dunn
* added `llama_model_token_*` variants to all the `llama_token_*` functions. * added `LLAMA_API` * formatting Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * removed old `llama_token` functions * changed 3 more functions to take in model - `llama_token_get_text` - `llama_token_get_score` - `llama_token_get_type` * added back docs * fixed main.cpp * changed token functions to use new model variants * changed token functions to use new model variants --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-10-23Fix baichuan convert script not detecing model (#3739)Galunid
It seems nobody objects.
2023-10-22make : add optional CUDA_NATIVE_ARCH (#2482)Alex
Use the environment variable `CUDA_NATIVE_ARCH` if present to set NVCC arch. Otherwise, use `native`.
2023-10-22server : parallel decoding and multimodal (#3677)Georgi Gerganov
* implementing parallel decoding in server example * crash fixed * save dev progress * refactored sampling function * completion endpoint working * multiple client support * grammar + no stream completion * cached prompt support * chat.mjs support cached prompt + some fixes * server ui now support multiple clients * unused change reverted * fixed timings per slot * add context swap * add changes to README.md * llava multimodal integration * fixed tokens probs * add multimodal input - alfa * refactor code + remove unused comments + improved README.md * fix compilation errors with llvm * notify the user from server ui that multimodality is unavialable * some ci fixes * fix ci make build undefined ref errors * fix long prompt than ctx proposed in #3639 * fixed premature end due stop word * context shift fixed * fix llava implementation * sync README.md changes * readme change * update api like OpenAI * multimodal support enabled by default * fix make bui;d errors * fix multiple clients * fix zig build * new sampling API * latest changes of sampling API * server : coding-style normalization * server : coding-style normalization (part 2) * server : remove beam-search functionality * server : bug fix in ingest_images n_tokens is incremented internally by llama_batch_add * server : use refs + use llama_batch_clear() * server : snake case * server : minor sync * added thread safe pipeline * server : bach has to be allocated for n_parallel sequences * server : no need for atomic int - already using mutex * server : logs + minor code style * server : fix multibyte handle in partial response (#3706) * fix image load + view image in chat * make : silence stb warnings * clip : link to ggml, not to llama * server : fix switch fallthrough * server : fix crash in Debug on macOS (I have no idea why this fixes it!?) * server : refactor ctx_sampling init + n_ctx + names * server : bug fix for prompt caching * Do not save/load image_data to localStorage * editorconfig : new line in index.html * server : completion requests remember slot_id * Update readme to document multimodal in server * server : minor style * Update readme to document multimodal in server * server : hide ctx_sampling->prev behind API (#3696) * server : apply fix from #3722 * server : fix slot reuse * server : add comment about changing slot_state to bool --------- Co-authored-by: FSSRepo <go778sgt@gmail.com> Co-authored-by: Damian Stewart <d@damianstewart.com> Co-authored-by: Steward Garcia <57494570+FSSRepo@users.noreply.github.com> Co-authored-by: Jhen-Jie Hong <iainst0409@gmail.com> Co-authored-by: M. Yusuf Sarıgöz <yusufsarigoz@gmail.com>
2023-10-22Add test for MPT tokenization (#3728)goerch
* Add test for MPT tokenization * Revert code motion * Remove unnecessary restriction in test case * Clarify logic in conversion
2023-10-22readme : remove unsupported node.js library (#3703)Ian Scrivener
- https://github.com/Atome-FE/llama-node is quite out of date - doesn't support recent/current llama.cpp functionality
2023-10-22llama : validate special token ids are in range when loading GGUF model (#3635)Kerfuffle
* Add validation for special token ids to llama.cpp Small optimization for llama_byte_to_token SPM mode * Fix BPE newline check, only I could break something so simple * Killll meeeeee * Account for GGUF_KEY_KEY only setting when the key exists * Minor code cleanups. * Fix convert.py error msg when added tokens are out of range * Make gguf SpecialVocab vocab size-aware Update conversion scripts accordingly * Avoid a string copy Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-10-22main : escape prompt for cfg_negative_prompt and consecutive inputs in main ↵vvhg1
with interactive (#3623) * infill tokens correction * serverinfill tokens correction * removing any leading whitespace from infill suffix and removing leeading space token from suffix when params.escape * removing any leading whitespace from infill suffix and removing leeading space token from suffix when params.escape * only rm when params.escape, rm space if possible which is added back or rm added space token * only rm when params.escape, rm space if possible which is added back or rm added space token * Revert "only rm when params.escape, rm space if possible which is added back or rm added space token" This reverts commit 63ba0b621f21077c0e3bc6ba6a327534123cb738. * fix interactive prompt escaping and fix server infill leading space handling * rm unnecessary bool check * process escapes for neg prompt and interactive consec prompts * removed unneccessary static string escape
2023-10-22batched : add len CLI argumentGeorgi Gerganov
2023-10-20CLBlast: Add outer loops over src0 for broadcasting in mulmatshibe2
Reduce repeated dequantization of the same data.
2023-10-20sampling : refactor init to use llama_sampling_params (#3696)Georgi Gerganov
* sampling : refactor init to use llama_sampling_params * llama : combine repetition, frequency and presence penalties in 1 call * examples : remove embd-input and gptneox-wip * sampling : rename penalty params + reduce size of "prev" vector * sampling : add llama_sampling_print helper * sampling : hide prev behind API and apply #3661 ggml-ci
2023-10-20gguf : support big endian platform (#3552)Qin Yue Chen
* check whether platform is 390x if yes->do not import immintrin.h * support s390x big endian * support --bigendian option for s390x 1. verified with baichuan7b-chat with float 16 on s390x 2. verified with baichuan7b-chat 3. verified with chinese-alpaca-2-13b-f16 * update format based on editor-config checker result * Update convert-baichuan-hf-to-gguf.py * 1. check in ggml.c if endianess is not match 2. update GGUF version 3. change get_pack_prefix to property 4. update information log * always use "GGUF" as beginng of GGUF file * Compare "GGUF" with file header char by char 1. Set GGUF_MAGIC to "GGUF" string instead of int value 2. Compare "GGUF" char by char to ensure its byte order 3. Move bytes swap code from convert.py to gguf.py write_tensor_data --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-10-20server : fix uninitialized sampling context (close #3685)Georgi Gerganov
2023-10-20ggml : fix rope + llama minor optimizations (#3560)Herman Semenov
* Minor fixes and fixed memleak * Using const auto references in range-based loop C++17
2023-10-20convert : restore compat with old Falcon models (#3680)cebtenzzre
2023-10-19multimodal : add BakLLaVA conversion support (#3682)M. Yusuf Sarıgöz
2023-10-19llava : avoid segfault in case of non-existent mmproj file (#3674)M. Yusuf Sarıgöz
2023-10-18readme : update hot topicsGeorgi Gerganov
2023-10-18speculative : bug fixesGeorgi Gerganov
2023-10-18speculative : add tree-based sampling example (#3624)Georgi Gerganov
* sampling : one sequence per sampling context ggml-ci * speculative : add tree-based sampling support ggml-ci * speculative : reuse the n_parallel CLI param * speculative : refactor sampling * examples : fix build after sampling refactoring ggml-ci * batched : fix n_seq_id * sampling : fix malloc ggml-ci * swift : fix build ggml-ci * swift : try to fix build ggml-ci * prompts : add assistant.txt * common : add llama_batch_add() and llama_batch_clear() helpers * speculative : minor refactor ggml-ci * minor : comments + rename ggml-ci * speculative : fix off-by-one for n_drafted * speculative : fix the n_drafted fix + p constants
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