* adding some native methods to cpp wrapper
* gpu seems to work
* typings and add availibleGpus method
* fix spelling
* fix syntax
* more
* normalize methods to conform to py
* remove extra dynamic linker deps when building with vulkan
* bump python version (library linking fix)
* Don't link against libvulkan.
* vulkan python bindings on windows fixes
* Bring the vulkan backend to the GUI.
* When device is Auto (the default) then we will only consider discrete GPU's otherwise fallback to CPU.
* Show the device we're currently using.
* Fix up the name and formatting.
* init at most one vulkan device, submodule update
fixes issues w/ multiple of the same gpu
* Update the submodule.
* Add version 2.4.15 and bump the version number.
* Fix a bug where we're not properly falling back to CPU.
* Sync to a newer version of llama.cpp with bugfix for vulkan.
* Report the actual device we're using.
* Only show GPU when we're actually using it.
* Bump to new llama with new bugfix.
* Release notes for v2.4.16 and bump the version.
* Fallback to CPU more robustly.
* Release notes for v2.4.17 and bump the version.
* Bump the Python version to python-v1.0.12 to restrict the quants that vulkan recognizes.
* Link against ggml in bin so we can get the available devices without loading a model.
* Send actual and requested device info for those who have opt-in.
* Actually bump the version.
* Release notes for v2.4.18 and bump the version.
* Fix for crashes on systems where vulkan is not installed properly.
* Release notes for v2.4.19 and bump the version.
* fix typings and vulkan build works on win
* Add flatpak manifest
* Remove unnecessary stuffs from manifest
* Update to 2.4.19
* appdata: update software description
* Latest rebase on llama.cpp with gguf support.
* macos build fixes
* llamamodel: metal supports all quantization types now
* gpt4all.py: GGUF
* pyllmodel: print specific error message
* backend: port BERT to GGUF
* backend: port MPT to GGUF
* backend: port Replit to GGUF
* backend: use gguf branch of llama.cpp-mainline
* backend: use llamamodel.cpp for StarCoder
* conversion scripts: cleanup
* convert scripts: load model as late as possible
* convert_mpt_hf_to_gguf.py: better tokenizer decoding
* backend: use llamamodel.cpp for Falcon
* convert scripts: make them directly executable
* fix references to removed model types
* modellist: fix the system prompt
* backend: port GPT-J to GGUF
* gpt-j: update inference to match latest llama.cpp insights
- Use F16 KV cache
- Store transposed V in the cache
- Avoid unnecessary Q copy
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
ggml upstream commit 0265f0813492602fec0e1159fe61de1bf0ccaf78
* chatllm: grammar fix
* convert scripts: use bytes_to_unicode from transformers
* convert scripts: make gptj script executable
* convert scripts: add feed-forward length for better compatiblilty
This GGUF key is used by all llama.cpp models with upstream support.
* gptj: remove unused variables
* Refactor for subgroups on mat * vec kernel.
* Add q6_k kernels for vulkan.
* python binding: print debug message to stderr
* Fix regenerate button to be deterministic and bump the llama version to latest we have for gguf.
* Bump to the latest fixes for vulkan in llama.
* llamamodel: fix static vector in LLamaModel::endTokens
* Switch to new models2.json for new gguf release and bump our version to
2.5.0.
* Bump to latest llama/gguf branch.
* chat: report reason for fallback to CPU
* chat: make sure to clear fallback reason on success
* more accurate fallback descriptions
* differentiate between init failure and unsupported models
* backend: do not use Vulkan with non-LLaMA models
* Add q8_0 kernels to kompute shaders and bump to latest llama/gguf.
* backend: fix build with Visual Studio generator
Use the $<CONFIG> generator expression instead of CMAKE_BUILD_TYPE. This
is needed because Visual Studio is a multi-configuration generator, so
we do not know what the build type will be until `cmake --build` is
called.
Fixes#1470
* remove old llama.cpp submodules
* Reorder and refresh our models2.json.
* rebase on newer llama.cpp
* python/embed4all: use gguf model, allow passing kwargs/overriding model
* Add starcoder, rift and sbert to our models2.json.
* Push a new version number for llmodel backend now that it is based on gguf.
* fix stray comma in models2.json
Signed-off-by: Aaron Miller <apage43@ninjawhale.com>
* Speculative fix for build on mac.
* chat: clearer CPU fallback messages
* Fix crasher with an empty string for prompt template.
* Update the language here to avoid misunderstanding.
* added EM German Mistral Model
* make codespell happy
* issue template: remove "Related Components" section
* cmake: install the GPT-J plugin (#1487)
* Do not delete saved chats if we fail to serialize properly.
* Restore state from text if necessary.
* Another codespell attempted fix.
* llmodel: do not call magic_match unless build variant is correct (#1488)
* chatllm: do not write uninitialized data to stream (#1486)
* mat*mat for q4_0, q8_0
* do not process prompts on gpu yet
* python: support Path in GPT4All.__init__ (#1462)
* llmodel: print an error if the CPU does not support AVX (#1499)
* python bindings should be quiet by default
* disable llama.cpp logging unless GPT4ALL_VERBOSE_LLAMACPP envvar is
nonempty
* make verbose flag for retrieve_model default false (but also be
overridable via gpt4all constructor)
should be able to run a basic test:
```python
import gpt4all
model = gpt4all.GPT4All('/Users/aaron/Downloads/rift-coder-v0-7b-q4_0.gguf')
print(model.generate('def fib(n):'))
```
and see no non-model output when successful
* python: always check status code of HTTP responses (#1502)
* Always save chats to disk, but save them as text by default. This also changes
the UI behavior to always open a 'New Chat' and setting it as current instead
of setting a restored chat as current. This improves usability by not requiring
the user to wait if they want to immediately start chatting.
* Update README.md
Signed-off-by: umarmnaq <102142660+umarmnaq@users.noreply.github.com>
* fix embed4all filename
https://discordapp.com/channels/1076964370942267462/1093558720690143283/1161778216462192692
Signed-off-by: Aaron Miller <apage43@ninjawhale.com>
* Improves Java API signatures maintaining back compatibility
* python: replace deprecated pkg_resources with importlib (#1505)
* Updated chat wishlist (#1351)
* q6k, q4_1 mat*mat
* update mini-orca 3b to gguf2, license
Signed-off-by: Aaron Miller <apage43@ninjawhale.com>
* convert scripts: fix AutoConfig typo (#1512)
* publish config https://docs.npmjs.com/cli/v9/configuring-npm/package-json#publishconfig (#1375)
merge into my branch
* fix appendBin
* fix gpu not initializing first
* sync up
* progress, still wip on destructor
* some detection work
* untested dispose method
* add js side of dispose
* Update gpt4all-bindings/typescript/index.cc
Co-authored-by: cebtenzzre <cebtenzzre@gmail.com>
Signed-off-by: Jacob Nguyen <76754747+jacoobes@users.noreply.github.com>
* Update gpt4all-bindings/typescript/index.cc
Co-authored-by: cebtenzzre <cebtenzzre@gmail.com>
Signed-off-by: Jacob Nguyen <76754747+jacoobes@users.noreply.github.com>
* Update gpt4all-bindings/typescript/index.cc
Co-authored-by: cebtenzzre <cebtenzzre@gmail.com>
Signed-off-by: Jacob Nguyen <76754747+jacoobes@users.noreply.github.com>
* Update gpt4all-bindings/typescript/src/gpt4all.d.ts
Co-authored-by: cebtenzzre <cebtenzzre@gmail.com>
Signed-off-by: Jacob Nguyen <76754747+jacoobes@users.noreply.github.com>
* Update gpt4all-bindings/typescript/src/gpt4all.js
Co-authored-by: cebtenzzre <cebtenzzre@gmail.com>
Signed-off-by: Jacob Nguyen <76754747+jacoobes@users.noreply.github.com>
* Update gpt4all-bindings/typescript/src/util.js
Co-authored-by: cebtenzzre <cebtenzzre@gmail.com>
Signed-off-by: Jacob Nguyen <76754747+jacoobes@users.noreply.github.com>
* fix tests
* fix circleci for nodejs
* bump version
---------
Signed-off-by: Aaron Miller <apage43@ninjawhale.com>
Signed-off-by: umarmnaq <102142660+umarmnaq@users.noreply.github.com>
Signed-off-by: Jacob Nguyen <76754747+jacoobes@users.noreply.github.com>
Co-authored-by: Aaron Miller <apage43@ninjawhale.com>
Co-authored-by: Adam Treat <treat.adam@gmail.com>
Co-authored-by: Akarshan Biswas <akarshan.biswas@gmail.com>
Co-authored-by: Cebtenzzre <cebtenzzre@gmail.com>
Co-authored-by: Jan Philipp Harries <jpdus@users.noreply.github.com>
Co-authored-by: umarmnaq <102142660+umarmnaq@users.noreply.github.com>
Co-authored-by: Alex Soto <asotobu@gmail.com>
Co-authored-by: niansa/tuxifan <tuxifan@posteo.de>
* make codespell happy again
* no belong
Signed-off-by: Aaron Miller <apage43@ninjawhale.com>
---------
Signed-off-by: Aaron Miller <apage43@ninjawhale.com>
this fixes some issues that were being seen on installed windows builds of 2.5.0
only load dlls that actually might be model impl dlls, otherwise we pull all sorts of random junk into the process before it might expect to be
Signed-off-by: Aaron Miller <apage43@ninjawhale.com>
so far my from-scratch mat*mats are still slower than just running more
invocations of the existing Metal ported mat*vec shaders - it should be
theoretically possible to make a mat*mat that's faster (for actual
mat*mat cases) than an optimal mat*vec, but it will need to be at
*least* as fast as the mat*vec op and then take special care to be
cache-friendly and save memory bandwidth, as the # of compute ops is the
same
