As discussed on Discord, this PR was not ready to be merged. CI fails on
it.
This reverts commit a602f7fde7.
Signed-off-by: Jared Van Bortel <jared@nomic.ai>
* remove outdated comments
Signed-off-by: limez <limez@protonmail.com>
* simpler build from source
Signed-off-by: limez <limez@protonmail.com>
* update unix build script to create .so runtimes correctly
Signed-off-by: limez <limez@protonmail.com>
* configure ci build type, use RelWithDebInfo for dev build script
Signed-off-by: limez <limez@protonmail.com>
* add clean script
Signed-off-by: limez <limez@protonmail.com>
* fix streamed token decoding / emoji
Signed-off-by: limez <limez@protonmail.com>
* remove deprecated nCtx
Signed-off-by: limez <limez@protonmail.com>
* update typings
Signed-off-by: jacob <jacoobes@sern.dev>
update typings
Signed-off-by: jacob <jacoobes@sern.dev>
* readme,mspell
Signed-off-by: jacob <jacoobes@sern.dev>
* cuda/backend logic changes + name napi methods like their js counterparts
Signed-off-by: limez <limez@protonmail.com>
* convert llmodel example into a test, separate test suite that can run in ci
Signed-off-by: limez <limez@protonmail.com>
* update examples / naming
Signed-off-by: limez <limez@protonmail.com>
* update deps, remove the need for binding.ci.gyp, make node-gyp-build fallback easier testable
Signed-off-by: limez <limez@protonmail.com>
* make sure the assert-backend-sources.js script is published, but not the others
Signed-off-by: limez <limez@protonmail.com>
* build correctly on windows (regression on node-gyp-build)
Signed-off-by: Jacob Nguyen <76754747+jacoobes@users.noreply.github.com>
* codespell
Signed-off-by: limez <limez@protonmail.com>
* make sure dlhandle.cpp gets linked correctly
Signed-off-by: limez <limez@protonmail.com>
* add include for check_cxx_compiler_flag call during aarch64 builds
Signed-off-by: limez <limez@protonmail.com>
* x86 > arm64 cross compilation of runtimes and bindings
Signed-off-by: limez <limez@protonmail.com>
* default to cpu instead of kompute on arm64
Signed-off-by: limez <limez@protonmail.com>
* formatting, more minimal example
Signed-off-by: limez <limez@protonmail.com>
---------
Signed-off-by: limez <limez@protonmail.com>
Signed-off-by: jacob <jacoobes@sern.dev>
Signed-off-by: Jacob Nguyen <76754747+jacoobes@users.noreply.github.com>
Co-authored-by: Jacob Nguyen <76754747+jacoobes@users.noreply.github.com>
Co-authored-by: jacob <jacoobes@sern.dev>
* backend: refactor dlhandle.h into oscompat.{cpp,h}
Signed-off-by: Jared Van Bortel <jared@nomic.ai>
* llmodel: alias std::filesystem
Signed-off-by: Jared Van Bortel <jared@nomic.ai>
* llmodel: use wide strings for paths on Windows
Using the native path representation allows us to manipulate paths and
call LoadLibraryEx without mangling non-ASCII characters.
Signed-off-by: Jared Van Bortel <jared@nomic.ai>
* llmodel: prefer built-in std::filesystem functionality
Signed-off-by: Jared Van Bortel <jared@nomic.ai>
* oscompat: fix string type error
Signed-off-by: Jared Van Bortel <jared@nomic.ai>
* backend: rename oscompat back to dlhandle
Signed-off-by: Jared Van Bortel <jared@nomic.ai>
* dlhandle: fix #includes
Signed-off-by: Jared Van Bortel <jared@nomic.ai>
* dlhandle: remove another #include
Signed-off-by: Jared Van Bortel <jared@nomic.ai>
* dlhandle: move dlhandle #include
Signed-off-by: Jared Van Bortel <jared@nomic.ai>
* dlhandle: remove #includes that are covered by dlhandle.h
Signed-off-by: Jared Van Bortel <jared@nomic.ai>
* llmodel: fix #include order
Signed-off-by: Jared Van Bortel <jared@nomic.ai>
---------
Signed-off-by: Jared Van Bortel <jared@nomic.ai>
* rebase onto llama.cpp commit ggerganov/llama.cpp@d46dbc76f
* support for CUDA backend (enabled by default)
* partial support for Occam's Vulkan backend (disabled by default)
* partial support for HIP/ROCm backend (disabled by default)
* sync llama.cpp.cmake with upstream llama.cpp CMakeLists.txt
* changes to GPT4All backend, bindings, and chat UI to handle choice of llama.cpp backend (Kompute or CUDA)
* ship CUDA runtime with installed version
* make device selection in the UI on macOS actually do something
* model whitelist: remove dbrx, mamba, persimmon, plamo; add internlm and starcoder2
Signed-off-by: Jared Van Bortel <jared@nomic.ai>
* backend: factor out common structs in model code
prepping to hack on these by hopefully making there be fewer places to fix the same bug
rename
* use common buffer wrapper instead of manual malloc
* fix replit compile warnings
* Initial Library Loader
* Load library as part of Model factory
* Dynamically search and find the dlls
* Update tests to use locally built runtimes
* Fix dylib loading, add macos runtime support for sample/tests
* Bypass automatic loading by default.
* Only set CMAKE_OSX_ARCHITECTURES if not already set, allow cross-compile
* Switch Loading again
* Update build scripts for mac/linux
* Update bindings to support newest breaking changes
* Fix build
* Use llmodel for Windows
* Actually, it does need to be libllmodel
* Name
* Remove TFMs, bypass loading by default
* Fix script
* Delete mac script
---------
Co-authored-by: Tim Miller <innerlogic4321@ghmail.com>
* porting over replit code model to gpt4all
* replaced memory with kv_self struct
* continuing debug
* welp it built but lot of sus things
* working model loading and somewhat working generate.. need to format response?
* revert back to semi working version
* finally got rid of weird formatting
* figured out problem is with python bindings - this is good to go for testing
* addressing PR feedback
* output refactor
* fixed prompt reponse collection
* cleanup
* addressing PR comments
* building replit backend with new ggmlver code
* chatllm replit and clean python files
* cleanup
* updated replit to match new llmodel api
* match llmodel api and change size_t to Token
* resolve PR comments
* replit model commit comment
Major change to the backend that allows for pluggable versions of llama.cpp/ggml. This was squashed merged from dlopen_backend_5 where the history is preserved.
Improves output quality by making these tokenizers more closely
match the behavior of the huggingface `tokenizers` based BPE
tokenizers these models were trained with.
Featuring:
* Fixed unicode handling (via ICU)
* Fixed BPE token merge handling
* Complete added vocabulary handling
