* deprecate ffn_b
* get tensor offloading levels
* wip: split tensor loading
* wip: framework of loading sparse model tensors
* save and flush gpu alloc buffer
* vram budget will fall back to remaining free memory
* minor: remove vram safety margin
* add options for vram budget; clean old env vars
* minor: bugfix
* add safetensors to convert.py help message
* Check for single-file safetensors model
* Update convert.py "model" option help message
* revert convert.py help message change
* 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>
* 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
* 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
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.
* 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>
* Add detection code for avx
* Only check hardware when option is ON
* Modify per code review sugguestions
* Build locally will detect CPU
* Fixes CMake style to use lowercase like everywhere else
* cleanup
* fix merge
* linux/gcc version for testing
* msvc combines avx2 and fma into /arch:AVX2 so check for both
* cleanup
* msvc only version
* style
* Update FindSIMD.cmake
---------
Co-authored-by: Howard Su <howard0su@gmail.com>
Co-authored-by: Jeremy Dunn <jeremydunn123@gmail.com>
* Revert "cuda : add ROCM aliases for CUDA pool stuff (#3918)"
This reverts commit 629f917cd6.
* Revert "cuda : use CUDA memory pool with async memory allocation/deallocation when available (#3903)"
This reverts commit d6069051de.
ggml-ci
