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2023-11-23Fix incorrect format strings and uninitialized variables. (#4133)Haohui Mai
* Fix incorrect format strings and uninitialized variables. * Address comments * Add the missing include statement
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>
2023-11-23examples : fix typo in parallel example doc comment (#4181)Daniel Bevenius
Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
2023-11-20finetune - update readme to mention llama support only (#4148)Galunid
2023-11-20main : Add ChatML functionality to main example (#4046)Seb C
Co-authored-by: Sebastian Cramond <sebby37@users.noreply.github.com>
2023-11-20speculative : fix prompt tokenization in speculative example (#4025)Branden Butler
* Support special tokens and not adding BOS to prompt in speculative * Adapt to new should_add_bos function * Ensure tgt and dft have same add_bos setting
2023-11-19Revert "finetune : add --n-gpu-layers flag info to --help (#4128)"Georgi Gerganov
This reverts commit 05e8301e4593e2a67b4bae24f093dd12ce5cc7c2.
2023-11-19finetune : add --n-gpu-layers flag info to --help (#4128)Clark Saben
2023-11-19server : relay error messages (#4131)SoftwareRenderer
2023-11-18tokenize example: Respect normal add BOS token behavior (#4126)Kerfuffle
Allow building with Makefile
2023-11-17tokenize : fix trailing whitespaceGeorgi Gerganov
2023-11-17examples : add tokenize (#4039)zakkor
2023-11-17llava : fix compilation warning that fread return value is not used (#4069)Huawei Lin
2023-11-17py : remove superfluous import statements (#4076)Jiří Podivín
Signed-off-by: Jiri Podivin <jpodivin@gmail.com> Co-authored-by: Jiri Podivin <jpodivin@redhat.com>
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>
2023-11-17finetune : zero the loraB initial vectors (#4082)Andrew Godfrey
* finetune : zero the loraB initial vectors Without this, the first iteration is starting out far from the base model, instead of exactly on it. Zeroing loraB is what the paper recommends. loralib also zeroes at least one of the init vector pairs (though it departs from the paper in using a different distribution for the other vector, in some cases). * tabs to spaces * Use ggml_set_zero instead of adding a new function
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
2023-11-13llava : fix regression for square images in #3613 (#4056)M. Yusuf Sarıgöz
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
2023-11-11Fix some documentation typos/grammar mistakes (#4032)Richard Kiss
* typos * Update examples/parallel/README.md Co-authored-by: Kerfuffle <44031344+KerfuffleV2@users.noreply.github.com> --------- Co-authored-by: Kerfuffle <44031344+KerfuffleV2@users.noreply.github.com>
2023-11-10server : fix crash when prompt exceeds context size (#3996)Alexey Parfenov
2023-11-11gguf-py: Refactor and allow reading/modifying existing GGUF files (#3981)Kerfuffle
* gguf-py: Refactor and add file reading support * Replay changes from #3871 Credit to @cebtenzzre for that pull * Various type annotation fixes. * sort imports with isort (again) * Fix missing return statement in add_tensor * style cleanup with flake8 * fix NamedTuple and Enum usage * Fix an issue with state init in GGUFReader Move examples to an examples/ directory Clean up examples Add an example of modifying keys in a GGUF file Update documentation with info on examples Try to support people importing gguf/gguf.py directly * Damagage is not a word. * Clean up gguf-py/examples/modify_gguf.py whitespace Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com> * Update gguf-py/examples/modify_gguf.py formatting Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com> * Update gguf-py/gguf/gguf_reader.py type hint Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com> * Make examples executable, formatting changes * Add more information to GGUFReader and examples comments * Include a gguf Python package version bump * Add convert-gguf-endian.py script * cleanup * gguf-py : bump minor version * Reorganize scripts * Make GGUFReader endian detection less arbitrary * Add JSON dumping support to gguf-dump.py Which I kind of regret now * A few for gguf-dump.py cleanups * Murder accidental tuple in gguf-py/scripts/gguf-dump.py Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com> * cleanup * constants : remove unneeded type annotations * fix python 3.8 compat * Set up gguf- scripts in pyproject.toml * And include scripts/__init__.py, derp * convert.py: We can't currently support Q8_0 on big endian. * gguf-py: SpecialVocab: Always try available sources for special token ids gguf-py: SpecialVocab: Try to load merges from merges.txt if not in tokenizer.json gguf-py: SpecialVocab: Add 'add_bos_token' type bools to GGUF metadata u * cleanup * Promote add_X_token to GGUF metadata for BOS and EOS --------- Co-authored-by: Jared Van Bortel <jared@nomic.ai> Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com>
2023-11-10server : allow continue edit on completion mode (#3950)Jhen-Jie Hong
* server : allow continue edit on completion mode * server : handle abort case in runCompletion * server : style improvement
2023-11-08server : add min_p param (#3877)Mihai
* Update server.cpp with min_p after it was introduced in https://github.com/ggerganov/llama.cpp/pull/3841 * Use spaces instead of tabs * Update index.html.hpp after running deps.sh * Fix test - fix line ending
2023-11-07ggml : fix backward rope after YaRN (#3974)xaedes
* fix backward process of rope rope backward process was broken after YaRN RoPE (#2268) implementation, due to missing changes in backward functions. the code for the backward process is nearly identically to the forward process: the only difference is the sign of the sin-values. to avoid future regressions remove the near-duplicate backward functions and reuse the forward code: for this a new function argument `bool forward` was added to `ggml_compute_forward_rope_f32` and `ggml_compute_forward_rope_f16`. the sin-values will be negated when forward is false. * fix finetune rope call to use correct default attn_factor of 1.0f * remove unused `ggml_rope_xpos_back` it is better to have only one `ggml_rope_back` function that accepts all rope parameters, so that `ggml_compute_backward` can propagate all parameters without having to switch between different rope_back variants. * fix comments explaining the sinus sign in ggml_forward_rope * add missing function arguments in declaration * fix function argument type in declaration
2023-11-07Use params when loading models in llava-cli (#3976)Matthew Tejo
llava-cli was loading models with default params and ignoring settings from the cli. This switches to a generic function to load the params from the cli options.
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>
2023-11-05server : fix typo for --alias shortcut from -m to -a (#3958)Thái Hoàng Tâm
2023-11-03speculative : change default p_accept to 0.5 + CLI args (#3919)Georgi Gerganov
ggml-ci
2023-11-02build : link against build info instead of compiling against it (#3879)cebtenzzre
* cmake : fix build when .git does not exist * cmake : simplify BUILD_INFO target * cmake : add missing dependencies on BUILD_INFO * build : link against build info instead of compiling against it * zig : make build info a .cpp source instead of a header Co-authored-by: Matheus C. França <matheus-catarino@hotmail.com> * cmake : revert change to CMP0115 --------- Co-authored-by: Matheus C. França <matheus-catarino@hotmail.com>
2023-11-01llama : implement YaRN RoPE scaling (#2268)cebtenzzre
Co-authored-by: cebtenzzre <cebtenzzre@gmail.com> Co-authored-by: Jeffrey Quesnelle <jquesnelle@gmail.com>
2023-11-01finetune : add -ngl parameter (#3762)Andrew Godfrey
* Add '-ngl' support to finetune.cpp * Add fprintf in ggml_cuda_op_add When I tried CUDA offloading during finetuning following the readme, I got an assert here. This probably isn't an important case because inference later gives a warning saying you should use f16 or f32 instead when using lora * Add 'finetune.sh', which currently fails when using GPU "error: operator (): Finetuning on tensors with type 'f16' is not yet supported" * tweak finetune.sh * Suppress some warnings in ggml.c * Add f16 implementation to ggml_compute_forward_add_f16_f32 * Add an f16 case to ggml_add_cast_impl and llama_build_lora_finetune_graphs * finetune.sh: Edit comments * Add "add_f16_f32_f32_cuda" * Tweak an error message * finetune.sh: Add an optional LLAMA_MODEL_DIR variable * finetune.sh: Add an optional LLAMA_TRAINING_DIR variable * train : minor * tabs to spaces --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> Co-authored-by: cebtenzzre <cebtenzzre@gmail.com>
2023-11-01server : re-enable completion and embedded at the same time (#3876)Adrian Hesketh
2023-10-31samplers : Min-P sampler implementation [alternative to Top P/Top K] (#3841)kalomaze
* Introduce the new Min-P sampler by @kalomaze The Min-P sampling method was designed as an alternative to Top-P, and aims to ensure a balance of quality and variety. The parameter *p* represents the minimum probability for a token to be considered, relative to the probability of the most likely token. * Min-P enabled and set to 0.05 default --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> Co-authored-by: cebtenzzre <cebtenzzre@gmail.com>
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
2023-10-29ggml : 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>
2023-10-28llama : 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
2023-10-28speculative : 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
2023-10-27simple : fix batch handling (#3803)Thibault Terrasson
2023-10-26server : do not release slot on image input (#3798)Georgi Gerganov
2023-10-25batched-bench : print params at startGeorgi 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
2023-10-24cmake : 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>
2023-10-23llama : 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>
2023-10-22server : 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>
2023-10-22main : 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
2023-10-20sampling : 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
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