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FastChat | LocalAI | |
---|---|---|
82 | 82 | |
33,877 | 19,593 | |
5.4% | 12.9% | |
9.6 | 9.9 | |
about 3 hours ago | 2 days ago | |
Python | C++ | |
Apache License 2.0 | MIT License |
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FastChat
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LLMs on your local Computer (Part 1)
FastChat
- FLaNK AI for 11 March 2024
- FLaNK 04 March 2024
- ChatGPT for Teams
- FastChat: An open platform for training and serving large language models
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LM Studio – Discover, download, and run local LLMs
How does it compare with something like FastChat? https://github.com/lm-sys/FastChat
Feature set seems like a decent amount of overlap. One limitation of FastChat, as far as I can tell, is that one is limited to the models that FastChat supports (though I think it would be minor to modify it to support arbitrary models?)
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Video-LLaVA
Looks like the Vicuna repo is Apache 2.0 also[1].
What's the interpretation of copyright law that would prevent the code being Apache 2.0 based on the source of the fine-tuning dataset?
[1] https://github.com/lm-sys/FastChat
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🔥🚀 Top 10 Open-Source Must-Have Tools for Crafting Your Own Chatbot 🤖💬
Check how to start with FastChat. Support FastChat on GitHub ⭐
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Show HN: ChatAPI – PWA to Use ChatGPT by API Build with Alpine.js
For something a little heavier but much more robust in terms of features/functionality I've been enjoying FastChat: https://github.com/lm-sys/FastChat
It allows you to plug in different backends so that you can use OpenAI compatible clients with various LLM's, selfhosted or otherwise.
- FLaNK Stack Weekly 09 Oct 2023
LocalAI
- 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
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Retrieval Augmented Generation in Go
Neither of this really requires OpenAI. You can do it with locally-running models via something like https://github.com/mudler/LocalAI
What are some alternatives?
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
gpt4all - gpt4all: run open-source LLMs anywhere
llama.cpp - LLM inference in C/C++
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
llama-cpp-python - Python bindings for llama.cpp
bitsandbytes - Accessible large language models via k-bit quantization for PyTorch.
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks
mlc-llm - Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.
localGPT - Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.