big-AGI
FastChat
big-AGI | FastChat | |
---|---|---|
8 | 83 | |
4,379 | 34,708 | |
- | 4.3% | |
10.0 | 9.6 | |
6 days ago | about 13 hours ago | |
TypeScript | Python | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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big-AGI
- GPT-4 Turbo with Vision is a step backwards for coding
- LM Studio – Discover, download, and run local LLMs
- ChatGPT Voice Announced (By Greg Brockman)
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Is there an easy way to use the March 14th model ChatGPT-4 model?
You could run a local copy of big-agi and edit this file to use the dated model.
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Managing ChatGPT token/character limits tool
As ChatGPT counts tokens for both inputs and output, you'd have to be thoughtful for the input side as well so this is where the tool would come in handy within the same chat session. I don't think it remembers separate chat sessions so yeah without access to history, you'd need to either start a new chat session each time or setup your own ChatGPT instance and use your own OpenAI API token and be billed. For my own ChatGPT instance I use awesome app at https://github.com/enricoros/nextjs-chatgpt-app which has a demo on the readme page too.
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Make your own ChatGPT UI
nice, maybe you can make the initializing prompts in
https://github.com/enricoros/nextjs-chatgpt-app/blob/main/pa...
transparent to the user and even changeable by them.
FastChat
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GPT4.5 or GPT5 being tested on LMSYS?
gpt2-chatbot isn't the only "mystery model" on LMSYS. Another is "deluxe-chat".
When asked about it in October last year, LMSYS replied [0] "It is an experiment we are running currently. More details will be revealed later"
One distinguishing feature of "deluxe-chat": although it gives high quality answers, it is very slow, so slow that the arena displays a warning whenever it is invoked
[0] https://github.com/lm-sys/FastChat/issues/2527
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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.
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.
Lobe Chat - LobeChat is a open-source, extensible (Function Calling), high-performance chatbot framework.It supports one-click free deployment of your private ChatGPT/LLM web application.
llama.cpp - LLM inference in C/C++
chatgpt-demo - Minimal web UI for ChatGPT.
gpt4all - gpt4all: run open-source LLMs anywhere
fill - Generative fill in 3D.
bitsandbytes - Accessible large language models via k-bit quantization for PyTorch.
chatbot-ui - AI chat for every model.
LocalAI - :robot: The free, Open Source OpenAI alternative. Self-hosted, community-driven and local-first. Drop-in replacement for OpenAI running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. It allows to generate Text, Audio, Video, Images. Also with voice cloning capabilities.
ollama-webui - ChatGPT-Style WebUI for LLMs (Formerly Ollama WebUI) [Moved to: https://github.com/open-webui/open-webui]
llama-cpp-python - Python bindings for llama.cpp