Hugging Face's logo
Banaxi's picture
🌌 Is AI conscious?

Banaxi PRO

Banaxi-Tech
168 16 143
fyezool's profile picture SiruiZhang's profile picture RexTRO111's profile picture
·

AI & ML interests

SLMs, training from scratch, LoRA, TTS, Ternary models. AI Interpretability. BCI. Contact at banaxitech@gmail.com

Recent Activity

repliedto juiceb0xc0de's post about 6 hours ago
HF community! Thank you so much the overwhelming flood of downloads I've received on my model atlases over the last couple of weeks. It makes me so happy to know other people out there are enjoying my work. With that being said, I am looking for an opportunity from the builders and trainers out there. I've recently had the chance to do a mid pre training snapshot durin process and am looking for the opportunity to get some more of these images . This is a symbiotic trade. I am more than happy to do full reports on the status of your model and translate what your model may stand to gain from as you head towards the finish line. The atlas building process uses 8965 different prompt over a wide variety of behavioural features. I combines many different methods of interpreting what is going on inside the model between prompt and response that we are unable to see. For anyone else interested in neural network imaging and mechanistic interpretation check out my library of atlases and my new work translating the numbers into a 3d visual format to accompany the sqlite database. If you've gpt a model that you wish to have atlased leave a commen and I'kk be sure to ge arounf to it as soon as possible. https://huggingface.co/collections/juiceb0xc0de/cloud-atlases
liked a model about 7 hours ago
ornith-ai/Ornith-1.5-9B
repliedto Felladrin's post about 7 hours ago
I've open-sourced the trainer I've been using to build tiny language models from scratch, together with the 95M base model I trained with it. The trainer runs on Deno (https://deno.com, cross-platform), trains on WebGPU, and it writes GGUF directly. No Python/PyTorch. The weights live in a GGUF file from the first step to the last, so every checkpoint is already something llama.cpp can load. The model is https://huggingface.co/Felladrin/Minueza-3-95M-Base: 94.7M parameters, 1.95B tokens seen, 8192 context. And here’s the repository on GitHub: https://github.com/felladrin/gguf-trainer Here on Hugging Face, I published the optimizer state next to the weights, so you can continue the pretraining instead of starting over. Or start your own from nothing: `deno run -A cli.ts demo` trains a tiny one end to end in under a minute. And the docs are written for coding agents, so you can point your agent of choice at the GitHub repo and have it drive the whole pipeline.
View all activity

Organizations

Hugging Science's profile picture ML intern explorers's profile picture Unsloth Jobs Explorers's profile picture BananaMind AI's profile picture BananaMind Model Previewers's profile picture North ML Previews's profile picture BananaMind Tetris Challenge's profile picture BananaMind Private Discussions's profile picture Contamination Guard's profile picture