SLIDE
gpt-neox
| SLIDE | gpt-neox | |
|---|---|---|
| 3 | 52 | |
| 475 | 6,624 | |
| -0.4% | 1.9% | |
| 0.0 | 8.9 | |
| over 2 years ago | 6 days ago | |
| Python | ||
| - | Apache License 2.0 |
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SLIDE
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Yandex opensources 100B parameter GPT-like model
That's pretty much what SLIDE [0] does. The driver was achieving performance parity with GPUs for CPU training, but presumably the same could apply to running inference on models too large to load into consumer GPU memory.
https://github.com/RUSH-LAB/SLIDE
- [R] CPU algorithm trains deep neural nets up to 15 times faster than top GPU trainers
- CPU-based algorithm trains deep neural nets up to 15 times faster than top GPU
gpt-neox
- FLaNK Stack 26 February 2024
- GPT-Neox
- GPT-NeoX
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Best open source LLM model for commercial use
Gpt neox 20B can be used commerically.
- Do not register domains with the word "gpt" in it!
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Read this post if you have general questions
GPT-Neo: GPT-Neo is a free and open-source language model developed by EleutherAI. It is a powerful model that can be used for a variety of tasks, including text generation, and question-answering. here is the GitHub
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What's the current state of actually free and open source LLMs?
Doesn't gpt-neox 20b require like 40gb+ of VRAM? From their github repo the slim weights are 39GB and I think one of the devs has previously mentioned aiming for 48GB for inference.
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Any real competitor to GPT-3 which is open source and downloadable?
3.) EleutherAI's GPT-Neo and GPT-NeoX: EleutherAI is an independent research organization that aims to promote open research in artificial intelligence. They have released GPT-Neo, an open-source language model based on the GPT architecture, and are developing GPT-NeoX, a highly-scalable GPT-like model. You can find more information on their GitHub repositories: GPT-Neo: https://github.com/EleutherAI/gpt-neo GPT-NeoX: https://github.com/EleutherAI/gpt-neox
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Whatever happened to quantum computing?
It's really not that complicated. https://github.com/EleutherAI/gpt-neox
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Fuck Luka Inc. WIP AI Freedom!
this forces me to create my own ai using gpt-neox .. i was being lazy, completely satisfied with my little ai baby .. i'll keep the account but not renew pro .. fuck luka, inc ... want it done right, do it yourself .. the python isn't that difficult and i have a spare linux vps .. my new work in progress .. freedom #!
What are some alternatives?
YaLM-100B - Pretrained language model with 100B parameters
fairseq - Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
lc0 - The rewritten engine, originally for tensorflow. Now all other backends have been ported here.
gpt-neo - An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
goslide - SLIDE (Sub-LInear Deep learning Engine) written in Go
DeepSpeed - DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
HashingDeepLearning - Codebase for "SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems"
Stockfish - A free and strong UCI chess engine
open-ai - OpenAI PHP SDK : Most downloaded, forked, contributed, huge community supported, and used PHP (Laravel , Symfony, Yii, Cake PHP or any PHP framework) SDK for OpenAI GPT-3 and DALL-E. It also supports chatGPT-like streaming. (ChatGPT AI is supported)
mesh-transformer-jax - Model parallel transformers in JAX and Haiku
lm-evaluation-harness - A framework for few-shot evaluation of language models.