autogpt4all
LocalAI
autogpt4all | LocalAI | |
---|---|---|
5 | 83 | |
442 | 20,076 | |
- | 9.3% | |
6.2 | 9.9 | |
3 months ago | 5 days ago | |
Python | C++ | |
MIT License | MIT License |
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autogpt4all
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autogpt4all - 🛠️ A user-friendly bash script that swiftly sets up and configures your LocalAI server with the GPT4All model for free!
As of this point: https://github.com/aorumbayev/autogpt4all/commit/cf57d9b9e0ce3e4e6a9200ec4042eae20ce6dfa7
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Creating a Local Instance of AutoGPT with Custom LLaMA Model
Or this one I’m currently playing with (LocalAI supports stable diffusion) https://github.com/aorumbayev/autogpt4all
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Can we run auto-GPT locally?
https://github.com/aorumbayev/autogpt4all but does need a few tweaks
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can I connect AutoGPT to GPT4All?
Try this one out, PRs welcome: https://github.com/aorumbayev/autogpt4all
LocalAI
- LocalAI: Self-hosted OpenAI alternative reaches 2.14.0
- Drop-In Replacement for ChatGPT API
- Voxos.ai – An Open-Source Desktop Voice Assistant
- Ask HN: Set Up Local LLM
- FLaNK Stack Weekly 11 Dec 2023
- Is there any open source app to load a model and expose API like OpenAI?
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What do you use to run your models?
If you're running this as a server, I would recommend LocalAI https://github.com/mudler/LocalAI
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OpenAI Switch Kit: Swap OpenAI with any open-source model
LocalAI can do that: https://github.com/mudler/LocalAI
https://localai.io/features/openai-functions/
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"ChatGPT romanesc"
De inspirație, LocalAI, un replacement la OpenAI. E deja hot pe GitHub.
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Local LLM's to run on old iMac / Hardware
Your hardware should be fine for inferencing, as long as you don't bother trying to get the GPU working.
My $0.02 would be to try getting LocalAI running on your machine with OpenCL/CLBlas acceleration for your CPU. If you're running other things, you could limit the inferencing process to 2 or 3 threads. That should get it working; I've been able to inference even 13b models on cheap Rockchip SOCs. Your CPU should be fine, even if it's a little outdated.
LocalAI: https://github.com/mudler/LocalAI
Some decent models to start with:
TinyLlama (extremely small/fast): https://huggingface.co/TheBloke/TinyLlama-1.1B-Chat-v0.3-GGU...
Dolphin Mistral (larger size, better responses: https://huggingface.co/TheBloke/dolphin-2.1-mistral-7B-GGUF
What are some alternatives?
promptflow - Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
gpt4all - gpt4all: run open-source LLMs anywhere
bpkg - Lightweight bash package manager
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
auto-vicuna-butler - a hacked and Frankensteined version of baby-agi ( https://github.com/yoheinakajima/babyagi ), modified to run entirely offline through the use of vicuna.
llama-cpp-python - Python bindings for llama.cpp
E2B - Secure cloud runtime for AI apps & AI agents. Fully open-source.
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks
DB-GPT-Hub - A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
SecondBrain - SecondBrain is your second brain in the cloud, designed to easily store and retrieve unstructured information. It's like Obsidian but powered by generative AI.
FastChat - An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.