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sequelbox
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AI & ML interests

open source, infinite games. (they/them)

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liked a model 1 day ago
ibm-granite/granite-timeseries-ttm-r2
reacted to rubenroy's post with ๐Ÿš€ 1 day ago
๐Ÿ”ฅ๐Ÿš€ Hey everyone! I'm excited to share my latest LLM release: Gilgamesh 72B, a model built on Qwen 2.5-72B Instruct. Gilgamesh was trained on a couple of my GammaCorpus datasets, specifically: - https://huggingface.co/datasets/rubenroy/GammaCorpus-CoT-Math-170k - https://huggingface.co/datasets/rubenroy/GammaCorpus-v2-5m - https://huggingface.co/datasets/rubenroy/GammaCorpus-Fact-QA-450k I've submitted GGM 72B to the Open LLM Leaderboard for benchmarking, I'll send an update post once the results are in! You can try it out and share your feedback, check out the model page and see what it can do: ๐Ÿ‘‰ https://huggingface.co/rubenroy/Gilgamesh-72B Would love to hear your thoughts!
new activity 1 day ago
sequelbox/Raiden-DSR1-PREVIEW:[bot] Conversion to Parquet
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sequelbox's activity

reacted to rubenroy's post with ๐Ÿš€ 1 day ago
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2242
๐Ÿ”ฅ๐Ÿš€ Hey everyone! I'm excited to share my latest LLM release: Gilgamesh 72B, a model built on Qwen 2.5-72B Instruct. Gilgamesh was trained on a couple of my GammaCorpus datasets, specifically:

- rubenroy/GammaCorpus-CoT-Math-170k
- rubenroy/GammaCorpus-v2-5m
- rubenroy/GammaCorpus-Fact-QA-450k

I've submitted GGM 72B to the Open LLM Leaderboard for benchmarking, I'll send an update post once the results are in!

You can try it out and share your feedback, check out the model page and see what it can do:
๐Ÿ‘‰ rubenroy/Gilgamesh-72B

Would love to hear your thoughts!
posted an update 3 days ago
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New sneak preview of my next release! Raiden is a deepseek-ai/DeepSeek-R1 synthetic dataset that uses creative-reasoning and analytic-reasoning prompts!

This preview release has the first 5.8k rows, all responses generated using DeepSeek's 685b parameter R1 model: sequelbox/Raiden-DSR1-PREVIEW

Enjoy this look at R1's reasoning skills! Full dataset coming soon.
reacted to victor's post with ๐Ÿš€ 9 days ago
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2951
Finally, an open-source AI that turns your lyrics into full songs is hereโ€”meet YuE! Unlike other tools that only create short clips, YuE can make entire songs (up to 5 minutes) with vocals, melody, and instruments all working together. Letsss go!

m-a-p/YuE-s1-7B-anneal-en-cot
posted an update 17 days ago
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A general FYI that Valiant Labs no longer has an X account. This is a business decision. Many other businesses seem to be making the same decision right now.

You can follow my account on Bluesky for updates on Shining Valiant 3, other Valiant Labs models, my open-source datasets, etc: https://bsky.app/profile/sequelbox.bsky.social

back to building :)
posted an update about 1 month ago
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NEW RELEASE: the sequelbox/Tachibana-QVQ dataset is here! Code-reasoning and code-instruct data generated with Qwen/QVQ-72B-Preview

Come check out QVQ's coding skills!

for everyone to use!

more QVQ and Llama 3.1 405b datasets coming soon :)
reacted to DawnC's post with โค๏ธ about 1 month ago
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2256
๐ŸŒŸ PawMatchAI: Making Breed Selection More Intuitive! ๐Ÿ•
Excited to share the latest update to this AI-powered companion for finding your perfect furry friend! I've made significant architectural improvements to enhance breed recognition accuracy and feature detection.

โœจ What's New?
Enhanced breed recognition through advanced morphological feature analysis:
- Implemented a sophisticated feature extraction system that analyzes specific characteristics like body proportions, head features, tail structure, fur texture, and color patterns
- Added an intelligent attention mechanism that dynamically focuses on the most relevant features for each image
- Improved multi-dog detection capabilities through enhanced spatial feature analysis
- Achieved better precision in distinguishing subtle breed characteristics

๐ŸŽฏ Key Features:
Smart breed recognition powered by advanced AI architecture
Visual matching scores with intuitive color indicators
Detailed breed comparisons with interactive tooltips
Lifestyle-based recommendations tailored to your needs

๐Ÿ’ญ Project Vision
Combining my passion for AI and pets, this project represents another step toward creating meaningful AI applications. Each update aims to make the breed selection process more accessible while improving the underlying technology.

๐Ÿ‘‰ Try it now: DawnC/PawMatchAI

Your likes โค๏ธ on this space fuel this project's growth!

#AI #MachineLearning #DeepLearning #Pytorch #ComputerVision #TechForLife
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posted an update about 1 month ago
reacted to m-ric's post with ๐Ÿ‘€ about 2 months ago
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๐‡๐ฎ๐ ๐ ๐ข๐ง๐  ๐…๐š๐œ๐ž ๐ซ๐ž๐ฅ๐ž๐š๐ฌ๐ž๐ฌ ๐๐ข๐œ๐จ๐ญ๐ซ๐จ๐ง, ๐š ๐ฆ๐ข๐œ๐ซ๐จ๐ฌ๐œ๐จ๐ฉ๐ข๐œ ๐ฅ๐ข๐› ๐ญ๐ก๐š๐ญ ๐ฌ๐จ๐ฅ๐ฏ๐ž๐ฌ ๐‹๐‹๐Œ ๐ญ๐ซ๐š๐ข๐ง๐ข๐ง๐  ๐Ÿ’๐ƒ ๐ฉ๐š๐ซ๐š๐ฅ๐ฅ๐ž๐ฅ๐ข๐ณ๐š๐ญ๐ข๐จ๐ง ๐Ÿฅณ

๐Ÿ•ฐ๏ธ Llama-3.1-405B took 39 million GPU-hours to train, i.e. about 4.5 thousand years.

๐Ÿ‘ด๐Ÿป If they had needed all this time, we would have GPU stories from the time of Pharaoh ๐“‚€: "Alas, Lord of Two Lands, the shipment of counting-stones arriving from Cathay was lost to pirates, this shall delay the building of your computing temple by many moons "

๐Ÿ› ๏ธ But instead, they just parallelized the training on 24k H100s, which made it take just a few months.
This required parallelizing across 4 dimensions: data, tensor, context, pipeline.
And it is infamously hard to do, making for bloated code repos that hold together only by magic.

๐Ÿค ๐—•๐˜‚๐˜ ๐—ป๐—ผ๐˜„ ๐˜„๐—ฒ ๐—ฑ๐—ผ๐—ป'๐˜ ๐—ป๐—ฒ๐—ฒ๐—ฑ ๐—ต๐˜‚๐—ด๐—ฒ ๐—ฟ๐—ฒ๐—ฝ๐—ผ๐˜€ ๐—ฎ๐—ป๐˜†๐—บ๐—ผ๐—ฟ๐—ฒ! Instead of building mega-training codes, Hugging Face colleagues cooked in the other direction, towards tiny 4D parallelism libs. A team has built Nanotron, already widely used in industry.
And now a team releases Picotron, a radical approach to code 4D Parallelism in just a few hundred lines of code, a real engineering prowess, making it much easier to understand what's actually happening!

โšก ๐—œ๐˜'๐˜€ ๐˜๐—ถ๐—ป๐˜†, ๐˜†๐—ฒ๐˜ ๐—ฝ๐—ผ๐˜„๐—ฒ๐—ฟ๐—ณ๐˜‚๐—น:
Counting in MFU (Model FLOPs Utilization, how much the model actually uses all the compute potential), this lib reaches ~50% on SmolLM-1.7B model with 8 H100 GPUs, which is really close to what huge libs would reach. (Caution: the team is leading further benchmarks to verify this)

Go take a look ๐Ÿ‘‰ https://github.com/huggingface/picotron/tree/main/picotron
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reacted to takarajordan's post with โค๏ธ about 2 months ago
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I'm super excited to release my first open-source text dataset:

WorldScenario 20K is a novel dataset of 20,000 synthetically generated multi-stakeholder scenarios designed to simulate real-world decision-making processes. Each scenario explores a unique environmental, societal, or economic issue.

I used the brand new meta-llama/Llama-3.3-70B-Instruct model to generate this dataset and I put the dataset through some post processing to clean and evaluate the dataset for diversity.

I'd appreciate some feedback and thoughts on my new release! Thanks!

takarajordan/WorldScenario_20K
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posted an update 3 months ago
posted an update 4 months ago
posted an update 4 months ago
posted an update 4 months ago
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NEW RELEASE! We've brought Shining Valiant 2 to Llama 3.2!

ValiantLabs/Llama3.2-3B-ShiningValiant2 is trained on high-quality general chat and science-instruct data! Get it now :)

(Enigma's up next for 3b, that'll be out soon!)

Additionally, newly expanded versions of the following datasets are now available:

sequelbox/Supernova is now 178k rows of high-quality synthetic general chat data.
sequelbox/Tachibana is now 104k rows of high-quality synthetic code-instruct data.

for everyone to use :)
more soon
reacted to fdaudens's post with ๐Ÿš€ 4 months ago
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3371
๐Ÿš€ 1,000,000 public models milestone achieved on Hugging Face! ๐Ÿคฏ

This chart by @cfahlgren1 shows the explosive growth of open-source AI. It's not just about numbers - it's a thriving community combining cutting-edge ML with real-world applications. cfahlgren1/hub-stats

Can't wait to see what's next!
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posted an update 5 months ago
replied to their post 5 months ago
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coming next: newest version of Shining Valiant + the new science-instruct dataset that she'll be using as a knowledge base. very excited for this!
after that more build tool releases :)
posted an update 5 months ago
reacted to vilarin's post with ๐Ÿš€ 5 months ago
posted an update 5 months ago
posted an update 5 months ago
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new synthetic general chat dataset! meet Supernova, a dataset using prompts from UltraFeedback and responses from Llama 3.1 405b Instruct: sequelbox/Supernova

new model(s) using the Supernova dataset will follow next week, along with Other Things. (One of these will be a newly updated version of Enigma, utilizing the next version of sequelbox/Tachibana with approximately 2x the rows!)