galai
YaLM-100B
galai | YaLM-100B | |
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8 | 35 | |
2,628 | 3,721 | |
0.0% | 0.1% | |
0.0 | 0.0 | |
about 1 year ago | 10 months ago | |
Jupyter Notebook | Python | |
Apache License 2.0 | Apache License 2.0 |
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galai
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Meta’s powerful AI language model has leaked online — what happens now?
Official website: https://galactica.org/ Community-driven API provided via GitHub: https://github.com/paperswithcode/galai
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What is this subreddit about? I can't tell if its wifaus or locally run LLMs
More important is the language model. Gattica AI has been trained on scientific papers: https://github.com/paperswithcode/galai
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I asked ChatGPT to find me some papers, all the papers it gave me did not exist. What gives?
Check out "galactica" https://github.com/paperswithcode/galai , the language model for making papers
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I wrote an Emacs package for ChatGPT
https://github.com/facebookresearch/metaseq/blob/main/projects/OPT/README.md https://github.com/paperswithcode/galai https://github.com/yandex/YaLM-100B
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Convincing ChatGPT to Write a Python Program to Eradicate Humanity
Isn't it still available, they just aren't running an instance for public use anymore but I thought you could run your own?
https://github.com/paperswithcode/galai
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Galactica: an AI trained on humanity's scientific knowledge
You can run Galactica (the "base" model) for free on Colab (https://colab.research.google.com/). It takes about 4 minutes to start up. Just specify a "GPU" runtime on colab, and follow the simple instructions from their github (https://github.com/paperswithcode/galai):
import galai as gal
model = gal.load_model("base")
model.generate("Scaled dot product attention:\n\n\\[")
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Over the past several months I've put together a spreadsheet of 470 categorized SD resources and apps. Put it up online in case it helps someone (should be the biggest public list so far)
I think you should probably add https://github.com/paperswithcode/galai to NLP text models too.
YaLM-100B
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Elon Musk's Grok Exactly Echoes ChatGPT Responses: Identical Answers Raise Questions - EconoTimes
Its probably just open source software/training sets repurposed... https://github.com/yandex/YaLM-100B
- OpenAI CEO suggests international agency like UN's nuclear watchdog could oversee AI
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A few less Googleable questions about local LLMs
There is a 100b model published on pache 2.0 license. Though there is no information about finetuning it or using in 4-bit with smth like llama.cpp. Trying to figure out how to try it without renting extremely expensive gpu set. https://github.com/yandex/YaLM-100B
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Is it possible to use llama.cpp or create Alpaca Lora for YALM-100b model?
Hey everyone! I just discovered an open-source 100 billion parameter language model called YaLM, which is published under the Apache 2.0 license. The model is trained on more than 1 TB of Russian and English text. Here's the GitHub repo: https://github.com/yandex/YaLM-100B and an article explaining how it was trained: https://medium.com/yandex/yandex-publishes-yalm-100b-its-the-largest-gpt-like-neural-network-in-open-source-d1df53d0e9a6
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Kandinsky 2.1 - a new open source text-to-Image model
Yandex has already released a LLM: https://github.com/yandex/YaLM-100B
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Just another casualty...
So there is this open project YaLM 100B require 200 GB of disk space, it is trained on 1.7 TB of text
- There's a lot of news about American/European AI. Do we know anything about what China, India, Russia and other countries are up to?
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Suggestion. Chat mode.
You'd think so, but to train a model like the one CAI uses, it would require truly jaw-breaking amount of funds. That's why CAI is so suspicious tbh. Just to give you an example, YaML (100 billion parameters which is probably less than CAI) took 65 days to train, and 800 A100 graphics cards. 175 billion parameters would not be 1.75 times higher because it's not a linear function. It would probably be 10x or even more. IIRC, "Open"Ai could only afford to train GPT-3 a single time...
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Ask HN: Can I download GPT / ChatGPT to my desktop?
I don't much follow AI news beyond what I randomly happen to see on HN, but this might still be the largest open source model: https://github.com/yandex/YaLM-100B . There's discussion of it here: https://old.reddit.com/r/MachineLearning/comments/vpn0r1/d_h... - at the bottom of that page is a comment from someone who actually ran it in the cloud.
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[Rant] Siri is beyond horrendous and it’s even worse than ever
Hilariously, Yandex Alisa runs circles around it, because it's not just a collection of gimmicks but has an actual 100B-class language model (YaLM, opensourced) as its core, plus lots of decent engineering. It's helpful, skillful and feels alive, almost like ChatGPT.
What are some alternatives?
scibert - A BERT model for scientific text.
gpt-neox - An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.
stylegan2-projecting-images - Projecting images to latent space with StyleGAN2.
SLIDE
openplayground - An LLM playground you can run on your laptop
NeMo - A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
pen.el - Pen.el stands for Prompt Engineering in emacs. It facilitates the creation, discovery and usage of prompts to language models. Pen supports OpenAI, EleutherAI, Aleph-Alpha, HuggingFace and others. It's the engine for the LookingGlass imaginary web browser.
mesh-transformer-jax - Model parallel transformers in JAX and Haiku
awesome-generative-ai - A curated list of modern Generative Artificial Intelligence projects and services
YaLM-100B - Pretrained language model with 100B parameters
metaseq - Repo for external large-scale work
ClickHouse - ClickHouse® is a free analytics DBMS for big data