Age | Commit message (Collapse) | Author |
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* initial commit, going through initializations
* main loop finished, starting to debug
* BUG: generates gibberish/repeating tokens after a while
* kv_cache management
* Added colors to distinguish drafted tokens (--color). Updated README
* lookup : fix token positions in the draft batch
* lookup : use n_draft from CLI params
* lookup : final touches
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Co-authored-by: Leon Ericsson <leon.ericsson@icloud.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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ggml-ci
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* 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
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Co-authored-by: slaren <slarengh@gmail.com>
* readme : add API change notice
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Co-authored-by: slaren <slarengh@gmail.com>
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* feat: Allow overriding GGUF metadata when loading model
* Fix the one time GCC is stricter than clang about something
* Step1
* Refactor... basically everything!
* Nuke obsolete GetArrayLen struct
* simplify std::string specialization
* Various cleanups
Add informational output when overrides are applied
Warn user when an override with the wrong type is specified
* Fix broken logic for parsing bool KV overrides
Fix issue where overrides didn't apply when key missing in GGUF metadata
Resolve merge changes
* llama : rearrange model params
* Update new GET_KEY call
Add note that metadata KV overrides aren't reflected in initial metadata KV info dump
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Co-authored-by: cebtenzzre <cebtenzzre@gmail.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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* Samplers sequence order w parameter
* Cleaned commented code
* Fixed formatting
* Rewrote with unordered_map
* Revert and rewrite, too many problems and safeguards would be needed
* Fixed code style
* Code style fixes according to review
* More readable samplers input string, fixed help
* Style fix in sampler_queue
* Formatting fixes
* Fixing whitespaces
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preceeding -> preceding
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* cmake : fix joining of REAL_GIT_DIR
* fix includes with help from include-what-you-use
* make : remove unneeded deps and add test-rope target
* fix C includes in C++ source files
* Revert "fix includes with help from include-what-you-use"
This reverts commit 635e9fadfd516d4604a0fecf4a854bfb25ad17ae.
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(#3970)
* Split CPP generation from build-info query
* Remove blank lines
* Add BUILD_SHARED_LIBS option
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* 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
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Co-authored-by: Kerfuffle <44031344+KerfuffleV2@users.noreply.github.com>
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Co-authored-by: Sebastian Cramond <sebby37@users.noreply.github.com>
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* logging: improve escaping in yaml output
* logging: include review feedback
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- 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>
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* 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
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* 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
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* 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
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Co-authored-by: M. Yusuf Sarıgöz <yusufsarigoz@gmail.com>
Co-authored-by: Jared Van Bortel <jared@nomic.ai>
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* ggml-cuda : fix f16 mul mat
ggml-ci
* silence common.cpp warning (bonus)
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* Allow common process_escapes to handle \x sequences
* Fix edge case when second hex digit is NUL
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ggml-ci
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ggml-ci
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* 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
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Co-authored-by: Matheus C. França <matheus-catarino@hotmail.com>
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Co-authored-by: cebtenzzre <cebtenzzre@gmail.com>
Co-authored-by: Jeffrey Quesnelle <jquesnelle@gmail.com>
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* Allow caller to handle help/argument exceptions
* Prepend newline to usage output
* Add new gpt_params_parse_ex function to hide arg-parse impl
* Fix issue blocking success case
* exit instead of returning false
* Update common/common.h
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* Update common/common.cpp
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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* impl --log-new, --log-append
* Update common/log.h
Co-authored-by: cebtenzzre <cebtenzzre@gmail.com>
* Update common/log.h
Co-authored-by: cebtenzzre <cebtenzzre@gmail.com>
* Apply suggestions from code review
Co-authored-by: cebtenzzre <cebtenzzre@gmail.com>
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Co-authored-by: cebtenzzre <cebtenzzre@gmail.com>
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* 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
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: cebtenzzre <cebtenzzre@gmail.com>
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* 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
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: cebtenzzre <cebtenzzre@gmail.com>
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* 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
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* 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
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(#3823)
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* 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
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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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
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* 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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* Minor fixes and fixed memleak
* Using const auto references in range-based loop C++17
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* 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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* Rewrite special token handling from #1931
* shorten param name, add st verification by type
* use offsets instead of copy by substr
* formatting, remove copying iterator on delete
* llama : normalize code-style
* swift fix
* print pfx/sfx if verb, main: split pfx input sfx
* dont add space when using special tokens
* minor : comment + spacing
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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* WIP: start implementing LLaVA
* rm scratch buf for now, will revert after cleanup
* LLaVA image encoder is working. will combine with llama
* Add llava inference code, but it's buggy. debugging
* LLaVA is working e2e, needs to optimize memory allocation + cleanup
* Use ggml_allocr + rm unnecessary code
* fix: crlf -> lf
* fix: new line at EoF
* fix: trailing whitespace
* Add readme
* Update readme
* Some cleanup
* Are you happy editorconfig?
* rm unused batch image preprocessing
* rm unused import
* fix: rm designated initializers
* introduce pad-to-square mode for non-square images
* are you happy editorconfig?
* gitignore /llava
* Handle cases where image file does not exist
* add llava target to Makefile
* add support for 13b model variant
* Maybe seed is unlucky?
* Check if apples are compared to apples
* are you happy editorconfig?
* Use temperature = 0.1 by default
* command line: use gpt_params_parse()
* minor
* handle default n_predict
* fix typo
* llava : code formatting, rename files, fix compile warnings
* do not use Wno-cast-qual for MSVC
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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* 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
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(#3534)
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* Enable external file and add datestamp
* Add name of external file at end
* Upload ToK2024
* Delete ToK2024.txt
* Experiments with jeopardy
* Move ParallelQuestions to /proimpts and rename
* Interim commit
* Interim commit
* Final revision
* Remove trailing whitespace
* remove cmake_all.sh
* Remove cmake_all.sh
* Changed .gitignore
* Improved reporting and new question files.
* Corrected typo
* More LLM questions
* Update LLM-questions.txt
* Yet more LLM-questions
* Remove jeopardy results file
* Reinstate original jeopardy.sh
* Update examples/parallel/parallel.cpp
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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* server : reuse llama_sample_token common function
* common : use n_probs for temperature sampling
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