ACE Step
😻
686
A Step Towards Music Generation Foundation Model
Asuka Langley Soryu
Asukaa02
P(doom) 10%
AI & ML interests
what are you looking at?
Recent Activity
liked a Space about 8 hours ago
ACE-Step/ACE-Step liked a Space about 18 hours ago
Nymbo/Serverless-TextGen-Hub liked a model about 18 hours ago
Qwen/Qwen2.5-0.5B-InstructOrganizations
liked a
Space about 8 hours ago
liked a
Space about 18 hours ago
liked a
model about 18 hours ago
upvoted a changelog 2 days ago
Hugging Face Changelog
Decision Models on the Hub
• 205
updated a
Space 2 days ago
published a
Space 2 days ago
published a
bucket 3 days ago
upvoted a changelog 3 days ago
Hugging Face Changelog
P(doom) on user profiles
• 346
liked 2
models 4 days ago
liked a
Space 4 days ago
updated a
model 5 days ago
liked a
Space 5 days ago
upvoted a collection 5 days ago
updated a
model 8 days ago
liked a
model 8 days ago
published a
model 9 days ago
liked a
dataset 9 days ago
liked a
dataset 16 days ago
reacted to Banaxi-Tech's post with 👀 16 days ago
Post
4873
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.
- 25 replies