every-chatgpt-gui
FlexGen
| every-chatgpt-gui | FlexGen | |
|---|---|---|
| 6 | 19 | |
| 1,818 | 5,350 | |
| - | - | |
| 7.5 | 10.0 | |
| 8 days ago | about 1 year ago | |
| Python | ||
| MIT License | Apache License 2.0 |
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every-chatgpt-gui
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GPT 4 new limits only 40 messages in 3 days
There are several UIs you can use: list on GitHub
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ChatGPT needs its own desktop application
Check out this list of chatgpt desktop applications:https://github.com/billmei/every-chatgpt-gui There was a discussion about this here:https://www.reddit.com/r/ChatGPT/comments/18eer32/i_am_so_close_to_cancelling_my_pro_subscription/
- GPT Message limit is lying?
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I am so close to cancelling my pro subscription.
You can use anyone from here: https://github.com/billmei/every-chatgpt-gui
- How can I access ChatGPT from work computer.
- Show HN: Every front-end UI for ChatGPT
FlexGen
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Training LLaMA-65B with Stanford Code
#1: Progress Update | 4 comments #2: the default UI on the pinned Google Colab is buggy so I made my own frontend - YAFFOA. | 18 comments #3: Paper reduces resource requirement of a 175B model down to 16GB GPU | 19 comments
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Replika users fell in love with their AI chatbot companions. Then they lost them
It's really just a gpu vram limitation: affordable GPUs are rather memory starved.
Fortunately people have started writing implementations for pipelining across multiple gpus.
https://github.com/Ying1123/FlexGen
- Same as with Stable Diffusion, new AI based LAION, are coming up slowly but surely: Paper reduces resource requirement of a 175B model down to 16GB GPU
- And Here..We..Go: Running large language models like ChatGPTon a single GPU. Up to 100x faster than other offloading systems
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When, how and why will this Stable Diffusion spring stop?
Actually there's a solution : read this paper https://github.com/Ying1123/FlexGen/blob/main/docs/paper.pdf
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Exciting new shit.
Flexgen - Run big models on your small GPU https://github.com/Ying1123/FlexGen
- Paper reduces resource requirement of a 175B model down to 16GB GPU
- FlexGen - Run 175B Parameter Models on consumer hardware
- Running large language models like ChatGPT on a single GPU
- FlexGen: Running large language models like ChatGPT/GPT-3/OPT-175B on a single GPU
What are some alternatives?
vanilla-chatgpt - a minimal ChatGPT client by vanilla javascript, run from local or any static web host
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
poe_sidebar_robots_remover - Remove Poe.com useless Robots from Sidebar
CTranslate2 - Fast inference engine for Transformer models
localGPT - Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
ggml - Tensor library for machine learning
awesome-gpt - A curated list of awesome ChatGPT-related applications, software, tools, resources.
accelerate - 🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
siri-gpt - Voice controlled ChatGPT for iOS using Shortcuts with temporary memory to carry extended conversations
rust-bert - Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
awesome-instruction-dataset - A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)
stanford_alpaca - Code and documentation to train Stanford's Alpaca models, and generate the data.