mirror of
https://github.com/nomic-ai/gpt4all.git
synced 2024-10-01 01:06:10 -04:00
gpt4all: an ecosystem of open-source chatbots trained on a massive collections of clean assistant data including code, stories and dialogue
da95bcfb4b
* 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> |
||
|---|---|---|
| .circleci | ||
| .github | ||
| gpt4all-api | ||
| gpt4all-backend | ||
| gpt4all-bindings | ||
| gpt4all-chat | ||
| gpt4all-docker | ||
| gpt4all-training | ||
| .codespellrc | ||
| .gitignore | ||
| .gitmodules | ||
| CONTRIBUTING.md | ||
| gpt4all-lora-demo.gif | ||
| LICENSE_SOM.txt | ||
| LICENSE.txt | ||
| monorepo_plan.md | ||
| README.md | ||
GPT4All
Open-source large language models that run locally on your CPU and nearly any GPU
🦜️🔗 Official Langchain Backend
GPT4All is made possible by our compute partner Paperspace.
Run on an M1 macOS Device (not sped up!)
GPT4All: An ecosystem of open-source on-edge large language models.
Important
GPT4All v2.5.0 and newer only supports models in GGUF format (.gguf). Models used with a previous version of GPT4All (.bin extension) will no longer work.
GPT4All is an ecosystem to run powerful and customized large language models that work locally on consumer grade CPUs and any GPU. Note that your CPU needs to support AVX or AVX2 instructions.
Learn more in the documentation.
A GPT4All model is a 3GB - 8GB file that you can download and plug into the GPT4All open-source ecosystem software. Nomic AI supports and maintains this software ecosystem to enforce quality and security alongside spearheading the effort to allow any person or enterprise to easily train and deploy their own on-edge large language models.
What's New (Issue Tracker)
- October 19th, 2023: GGUF Support Launches with Support for:
- Mistral 7b base model, an updated model gallery on gpt4all.io, several new local code models including Rift Coder v1.5
- Nomic Vulkan support for Q4_0, Q6 quantizations in GGUF.
- Offline build support for running old versions of the GPT4All Local LLM Chat Client.
- September 18th, 2023: Nomic Vulkan launches supporting local LLM inference on AMD, Intel, Samsung, Qualcomm and NVIDIA GPUs.
- August 15th, 2023: GPT4All API launches allowing inference of local LLMs from docker containers.
- July 2023: Stable support for LocalDocs, a GPT4All Plugin that allows you to privately and locally chat with your data.
Chat Client
Run any GPT4All model natively on your home desktop with the auto-updating desktop chat client. See GPT4All Website for a full list of open-source models you can run with this powerful desktop application.
Direct Installer Links:
Find the most up-to-date information on the GPT4All Website
Chat Client building and running
- Follow the visual instructions on the chat client build_and_run page
Bindings
- 🐍 Official Python Bindings
- 💻 Official Typescript Bindings
- 💻 Official GoLang Bindings
- 💻 Official C# Bindings
- 💻 Official Java Bindings
Integrations
Contributing
GPT4All welcomes contributions, involvement, and discussion from the open source community! Please see CONTRIBUTING.md and follow the issues, bug reports, and PR markdown templates.
Check project discord, with project owners, or through existing issues/PRs to avoid duplicate work.
Please make sure to tag all of the above with relevant project identifiers or your contribution could potentially get lost.
Example tags: backend, bindings, python-bindings, documentation, etc.
Technical Reports
📗 Technical Report 3: GPT4All Snoozy and Groovy
📗 Technical Report 2: GPT4All-J
Citation
If you utilize this repository, models or data in a downstream project, please consider citing it with:
@misc{gpt4all,
author = {Yuvanesh Anand and Zach Nussbaum and Brandon Duderstadt and Benjamin Schmidt and Andriy Mulyar},
title = {GPT4All: Training an Assistant-style Chatbot with Large Scale Data Distillation from GPT-3.5-Turbo},
year = {2023},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/nomic-ai/gpt4all}},
}