summaryrefslogtreecommitdiff
path: root/examples/server/server.cpp
AgeCommit message (Collapse)Author
2024-01-04server : send token probs for "stream == false" (#4714)Georgi Gerganov
2024-01-02editorconfig : fix whitespace and indentation #4710Georgi Gerganov
2024-01-02server : add --override-kv parameter (#4710)minarchist
* Changes to server to allow metadata override * documentation * flake.nix: expose full scope in legacyPackages * flake.nix: rocm not yet supported on aarch64, so hide the output * flake.nix: expose checks * workflows: nix-ci: init; build flake outputs * workflows: nix-ci: add a job for eval * workflows: weekly `nix flake update` * workflows: nix-flakestry: drop tag filters ...and add a job for flakehub.com * workflows: nix-ci: add a qemu job for jetsons * flake.nix: suggest the binary caches * flake.lock: update to a commit recently cached by nixpkgs-cuda-ci --------- Co-authored-by: John <john@jLap.lan> Co-authored-by: Someone Serge <sergei.kozlukov@aalto.fi>
2023-12-30clip : refactor + bug fixes (#4696)Georgi Gerganov
* clip : refactor + bug fixes ggml-ci * server : add log message
2023-12-29server : replace sleep with condition variables (#4673)Justine Tunney
The server currently schedules tasks using a sleep(5ms) busy loop. This adds unnecessary latency since most sleep implementations do a round up to the system scheduling quantum (usually 10ms). Other libc sleep impls spin for smaller time intervals which results in the server's busy loop consuming all available cpu. Having the explicit notify() / wait() code also helps aid in the readability of the server code. See mozilla-Ocho/llamafile@711344b
2023-12-29server : fix OpenAI server sampling w.r.t. penalty. (#4675)SakuraUmi
2023-12-29server : allow to generate multimodal embeddings (#4681)Karthik Sethuraman
2023-12-28Fix OpenAI server sampling w.r.t. temp and seed (#4668)Justine Tunney
The default values for tfs_z and typical_p were being set to zero, which caused the token candidates array to get shrunk down to one element thus preventing any sampling. Note this only applies to OpenAI API compatible HTTP server requests. The solution is to use the default values that OpenAI documents, as well as ensuring we use the llama.cpp defaults for the rest. I've tested this change still ensures deterministic output by default. If a "temperature" greater than 0 is explicitly passed, then output is unique each time. If "seed" is specified in addition to "temperature" then the output becomes deterministic once more. See mozilla-Ocho/llamafile#117 See mozilla-Ocho/llamafile@9e4bf29
2023-12-23server : allow to specify custom prompt for penalty calculation (#3727)Alexey Parfenov
2023-12-17server : disable llm logs if SERVER_VERBOSE is off (#3792)olexiyb
2023-12-17server : fix grammar being ignored (#4494)AdithyanI
Fix bug in identifying the grammar.
2023-12-17server : fix possible ambiguity in content type charset (#4501)Alexey Parfenov
2023-12-17server : allow requests larger than 8K (#4500)mzcu
2023-12-15server : add optional API Key Authentication example (#4441)ShadovvBeast
* Add API key authentication for enhanced server-client security * server : to snake_case --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-12-13server : fix handling of characters that span multiple tokens when streaming ↵shibe2
(#4446)
2023-12-12server : fix local model name in server (#4420)Vladimir Zorin
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>
2023-12-06server : recognize cache_prompt parameter in OAI API (#4347)Georgi Gerganov
2023-12-03server : fix OpenAI API `stop` field to be optional (#4299)Ed Lee
(cherry picked from commit Mozilla-Ocho/llamafile@e8c92bcb84ae3bcbf0d617b7ee6a5413bcbd58af)
2023-12-01llama : support optional tensors (#4283)Georgi Gerganov
2023-12-01server : add --log-disable to disable logging to file (#4260)Ziad Ben Hadj-Alouane
* * add --log-disable to disable logging to file in the server example * * typo fix
2023-12-01server : add single-client multi-prompt support (#4232)Ziad Ben Hadj-Alouane
* * add multiprompt support * * cleanup * * more cleanup * * remove atomicity of id_gen, and change lock_guard to unique_lock on completion requests * * remove all references to mutex_multitasks * Update examples/server/server.cpp Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com> * Update examples/server/server.cpp Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com> * Update examples/server/server.cpp Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com> * Update examples/server/server.cpp Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com> * * change to set --------- Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com>
2023-11-25server : OAI API compatibility (#4198)Georgi Gerganov
* Add openai-compatible POST /v1/chat/completions API endpoint to server example * fix code style * Update server README.md * Improve server README.md * Fix server.cpp code style according to review * server : some style changes * server : indentation * server : enable special tokens during tokenization by default * server : minor code style * server : change random string generator * straightforward /v1/models endpoint --------- Co-authored-by: kir-gadjello <111190790+kir-gadjello@users.noreply.github.com> Co-authored-by: Tobi Lütke <tobi@Tobis-MacBook-Pro.local>
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
2023-11-19server : relay error messages (#4131)SoftwareRenderer
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
2023-11-10server : fix crash when prompt exceeds context size (#3996)Alexey Parfenov
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
2023-11-02build : 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>
2023-11-01server : re-enable completion and embedded at the same time (#3876)Adrian Hesketh
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
2023-10-26server : do not release slot on image input (#3798)Georgi 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
2023-10-23llama : 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>
2023-10-20sampling : 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
2023-10-20server : fix uninitialized sampling context (close #3685)Georgi 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
2023-10-12server : fix kv cache management (#3588)Georgi Gerganov
2023-10-11server : add parameter -tb N, --threads-batch N (#3584)Michael Coppola
Co-authored-by: Michael Coppola <info@michaeljcoppola.com>
2023-10-11common : fix mirostat state when using multiple sequences (#3543)Kerfuffle
* Fix mirostat state when using multiple sequences * Fix mirostat by completely refactoring sampling! * Try to fix zig build. * Export function to fetch/create default sampler states Code formatting cleanups and add some comments Silence a warning about id not being used when logging is disabled * Apply some renaming suggestions. Fix comments that were out of sync with the pull. * Use more consistant naming convention for sampling contexts
2023-10-10infill. : fix tokenization (#3508)vvhg1
* 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
2023-10-06server : reuse llama_sample_token common util (#3494)Jhen-Jie Hong
* server : reuse llama_sample_token common function * common : use n_probs for temperature sampling
2023-10-05build : use std::make_tuple() for compatibility with older GCC versions (#3488)Kenvix ⭐
2023-10-05server : fix incorrect num_tokens_predicted (#3480)Jhen-Jie Hong
2023-10-03llama : fix session saving/loading (#3400)Georgi Gerganov
* llama : fix session saving/loading * llama : temp fix for clearing "future" tokens from the KV cache * llama : fix handling of "future" tokens when loading sessions * llama : fix comments for llama_kv_cache API
2023-10-02infill : add new example + extend server API (#3296)vvhg1
* vvhg-code-infill (#1) * infill in separate example (#2) * reverted changes to main and added infill example * cleanup * naming improvement * make : add missing blank line * fix missing semicolon * brought infill up to current main code * cleanup --------- Co-authored-by: Cebtenzzre <cebtenzzre@gmail.com>
2023-09-28llama.cpp : split llama_context_params into model and context params (#3301)slaren
* llama.cpp : split llama_context_params into model and context params ggml-ci * fix metal build * fix freq_base/scale default to model value * llama-bench : keep the same model between tests when possible * move n_threads to llama_context_params, add n_threads_batch * fix mpi build * remove kv_size(), cuda scratch fixes * remove low-vram option * add n_threads_batch to system info, refactor to get_system_info() * add documentation about --threads-batch to the READMEs * llama-bench fix * main : fix rope freq/scale warning * llama.cpp : add llama_get_model common : add llama_tokenize from model * remove duplicated ctx/model functions ggml-ci * cuda : print total VRAM used
generated by cgit v1.2.3 (git 2.25.1) at 2025-08-18 11:07:35 +0000