Datdanboi25/Charles-the-Chess-Bot
32.5M • Updated • 150 • 11
👽 Big things for X3
Dan P
Datdanboi25
AI & ML interests
Axiomic Labs Founder
Mechatronics engineer, LLMs, Vision Models, Embedding Models
Recent Activity
reacted to theirpost with 🔥 about 5 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! reacted to Banaxi-Tech's post with ❤️ about 5 hours ago
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. repliedto Banaxi-Tech's post about 7 hours ago
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.Organizations
