YaLM-100B
DALLE-mtf
YaLM-100B | DALLE-mtf | |
---|---|---|
35 | 41 | |
3,722 | 436 | |
0.1% | 0.2% | |
0.0 | 0.0 | |
10 months ago | about 2 years ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
YaLM-100B
-
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
-
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
-
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
-
Kandinsky 2.1 - a new open source text-to-Image model
Yandex has already released a LLM: https://github.com/yandex/YaLM-100B
-
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?
-
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...
-
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.
-
[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.
DALLE-mtf
-
How Open is Generative AI? Part 2
This vision is in line with EleutherAI, a non-profit organization founded in July 2020 by a group of researchers. Driven by the perceived opacity and the challenge of reproducibility in AI, their goal was to create leading open-source language models.
- The open source learning curve for AI researchers
- EleutherAI: Empowering Open-Source Artificial Intelligence Research
-
Seeking advice on fine-tuning Pythia for semantic search in a non-English language
My current idea is to utilize the EleutherAI pythia (Databricks Dolly). I would like to know whether translating the Dolly-15k dataset into the desired language using state-of-the-art translation techniques like DeepL would be a viable approach to fine-tune the Pythia base model. I want to use this model for semantic search, so perfection is not a necessity.
-
Does anyone want to collaborate to make anti-capitalist AI?
There are open source AI efforts, like EleutherAI. Needless to say, they are lagging behind big players, but it's better than nothing.
-
ChatGPT is bonkers.
The new GPT 3.5 isn't aware what are GPT-3.5 or davinci-002 (repeatable) and claimed that it was designed by EleutherAI and has only 6 bil parameters (wasn't been able to repeat but didn't really try).
-
My teacher has falsely accused me of using ChatGPT to use an assignment.
Hi, my name is Stella Biderman and I run EleutherAI, the one of the foremost non-profit research institutes in the world that trains and studies large language models. I have been involved with the majority of models to hold the title “largest open source GPT model in the world” and have dabbled in exploring using plagiarism detection tools to identify code written by GPT-J.
-
dolly-v2-12b
dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAI’s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA)
-
Futurism: "The Company Behind Stable Diffusion Appears to Be At Risk of Going Under"
It is true that Emad needs to find an appropriate business model. The good news is that the hype is still undergoing. I'm sure that Emad can grab another round of liquidity injection. He got plenty of resources. Remember he is also from the finance industry. He got https://www.eleuther.ai/ which can supply a secured, in-house custom LLM equivalent to bloombergGPT.
-
How can AI be used to protect against exploitative use of other AI?
By promoting fully open-source AI, i.e. making datasets, models, methodology and codebases freely available and transparent. What OpenAI claimed to be aiming for, basically.
What are some alternatives?
gpt-neox - An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.
VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
SLIDE
CLIP-Guided-Diffusion - Just playing with getting CLIP Guided Diffusion running locally, rather than having to use colab.
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)
dalle-mini - DALL·E Mini - Generate images from a text prompt
mesh-transformer-jax - Model parallel transformers in JAX and Haiku
big-sleep - A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun
YaLM-100B - Pretrained language model with 100B parameters
gpt-3 - GPT-3: Language Models are Few-Shot Learners
ClickHouse - ClickHouse® is a free analytics DBMS for big data
DALLE-pytorch - Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch