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hugging-science/ripp:Hugging Science is DEAD??? repliedto Datdanboi25's post about 24 hours ago
ForgePlex-M1-6M first model trained on AxiomicLabs TrainWork
https://huggingface.co/ForgeWorks/ForgePlex-M1-6M just dropped from https://huggingface.co/ForgeWorks, and is the first model to ever be trained on our TrainWork training framework.
Achieving an Intelligence Index of 6.87 and taking #22 in the <10m category on the https://huggingface.co/spaces/AxiomicLabs/Open_SLM_Leaderboard, very impressive work for a first model.
Give it some love! upvoted an article 2 days ago
New BenchmarksOrganizations
Hugging Science is DEAD???
โ 2
22
#2 opened 3 days ago
by 
XBFDI
replied to Datdanboi25's post about 24 hours ago
upvoted an article 2 days ago
Article
New Benchmarks
Banaxi-Tech
โข โข 3 reacted to Banaxi-Tech's post with ๐คฏ๐๐ค๐๐ง โ๐๐คโค๏ธ๐๐๐ฅ 2 days ago
Post
4577
We're excited to release BananaAll, our SLM Super App.
It allows you to do EVERYTHING you need to do to trains SLMs in a single app, no terminal, no 30 chrome tabs.
The train tab allows you to train models, select datasets from presets, and use other ones with auto mapping, model size slider, it automatically generates a training script for you.
Then after you've trained the model or want to compare it to competitors, the evaluation tab, run ARC EASY, ARC Challenge, Hellaswag, PIQA, Arithmark 3, BananaMind Base Bench and more! Simple Results screen.
And lastly the inference tab, run your trained models or others.
Normally you would need seperate apps or scripts for that, but the BananaAll Super App lets you do all of that in a single app.
We also trained a small 2.5M parameter model on 200M tokens of Fineweb edu, The results: BananaMind Base Bench 854 and 53% on PIQA. On only 200M tokens.
Check it out at https://github.com/BananaMind/BananaAll.
It allows you to do EVERYTHING you need to do to trains SLMs in a single app, no terminal, no 30 chrome tabs.
The train tab allows you to train models, select datasets from presets, and use other ones with auto mapping, model size slider, it automatically generates a training script for you.
Then after you've trained the model or want to compare it to competitors, the evaluation tab, run ARC EASY, ARC Challenge, Hellaswag, PIQA, Arithmark 3, BananaMind Base Bench and more! Simple Results screen.
And lastly the inference tab, run your trained models or others.
Normally you would need seperate apps or scripts for that, but the BananaAll Super App lets you do all of that in a single app.
We also trained a small 2.5M parameter model on 200M tokens of Fineweb edu, The results: BananaMind Base Bench 854 and 53% on PIQA. On only 200M tokens.
Check it out at https://github.com/BananaMind/BananaAll.
- 23 replies
replied to Banaxi-Tech's post 2 days ago
Also please make a colab/molab script for it
replied to Banaxi-Tech's post 2 days ago
It finally happened. The SLM frontier advances BIG today.
no fine-tuning?
๐ 1
13
#1 opened 3 days ago
by 
CNWPlayer
published a
Space 3 days ago
replied to Banaxi-Tech's post 3 days ago
Id like to see it but not sure if I want to give out my full legal name haha
I agree, same with the date of birth