Axiom @inferencemodel
Building Axiom-o1. A highly capable reasoning system that runs locally. Simi Valley, CA Joined June 2023-
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officially have two datasets that are the first of their kind on @huggingface 😎 the first was trauma and grief, this one is also equally as important. Oh and i guess this is one way of saying: I just released another massive dataset entirely open-source MIT! 9.2k Pairs
My 8th dataset thus far. 7.6k Q&A Pairs. Entirely synthetic generated - using many systems of which I developed over the last several months. Click the link for more details huggingface.co/datasets/morem…
build this cellular automata thing in December and completely forgot about it... so satisfying
I made this image gen app about a year ago and I'm thinking about sharing it on github. You could easily swap out the model with whatever huggingface/other source if you wanted. It runs on a single 8gb GPU - quality isn't perfect but you can def get it to output some cool stuff
ToT-Math - A smoll dataset (27k pairs/70m) comprised of CoT/ToT type reasoning meant to emulate o1 outputs in mathematics. A spectrum of challenges, spanning K-12 to higher education and diverse fields of study. 🤗 huggingface.co/datasets/morem…
since the first reasoning dataset did well I decided to make another one: ToT-RPSD-V2 🤗 huggingface.co/datasets/morem…
Finally got around to uploading and finishing this project today. RPSD is live on huggingface! First of many datasets to come, I did enjoy putting this together and developing the program to generate them as well. It was not easy... huggingface.co/datasets/morem…
is the new Bert really all that better than granite embedding? (chat help me out)
It can count Rs in strawberry. It can tell how many sisters Alice's brothers have. It gets 7/10 on Olympic level mathematics (2022 test set) LOL and much more. Internal o1 achieved lol Ill point out that the thought time usually sits around 2-8 minutes and 8-14 minutes for more…
This will be the 3rd time having to setup a Cuda environment and all the correct dependencies all over again 🥹 3rd time... got the fireplace on Netflix and some fresh coffee, need all the comfort I can get - hate doing this
Hate the new sonnet 3.5 so much that i built a Windows ap so i can use the old sonnet-0240620 model through api
after 2 days of literally jamming around the clock with like 5 hours of sleep both nights, I've got a legit semantic search built into notebook Pro. it works with around 200k tokens accurately...and I'm working on getting a few more things built into that feature as well, hang…

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