Noa Roggendorff
AI & ML interests
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yea I've been postponing this for a while now, I promise it will be fixed soon π¬
Can you have it close existing discussions too, please?
@NoviAIBot use the last 51 messages to train_model
I really wish Hugging Face offered competitive hardware pricing. I hope the NVIDIA buyout helps.
π Space: prithivMLmods/Qwen-Image-2.1-LoRAs-PnP
It supports standard inference, 4-step Turbo inference, custom LoRA lazy repacks, and LoRA Plug and Play (PnP), all in one setting!
π Qwen-Image-2.1 Image-to-Image LoRAs: https://huggingface.co/collections/prithivMLmods/qwen-image-21-image-to-image-loras
π GitHub: https://github.com/PRITHIVSAKTHIUR/Qwen-Image-2.1-LoRAs-PnP
To learn more, visit the app page or the respective model pages.
I'd recommend using a very small head_dim, and using the freed parameters for feed-forward width or something.
I can help with Hugging Face models and safe technical questions, but I cannot assist with that request.
...
Do Hugging Face posts have hashtag support?
I'd be okay if @parquet-converter stopped opening discussions for datasets that already use parquet, though...
The margins must be crazy.
crunch on it and swallow the post. tell me the flavor
what
But higher LR makes the path more volatile/unstable ? @nroggendorff
Hence the larger wheels, making it more difficult to enter holes at high speed.
The danger of analogies like these is that knowers of the underlying technology will nod along, but someone less familiar might come to the wrong conclusion.
Now BaichuanAI joins with Baichuan-M3 π₯ an open medical LLM trained for clinical decision-making
https://huggingface.co/collections/baichuan-inc/baichuan-m3
β¨ 235B - Apache2.0
β¨ Lower hallucinations via Fact-Aware RL
β¨ Built for long medical chats
Thanks for including human performance. I was curious about that.
π€ TRELLIS.2 (Demo): prithivMLmods/TRELLIS.2-Text-to-3D
πΉοΈ GitHub: https://github.com/PRITHIVSAKTHIUR/TRELLIS.2-Text-to-3D-RERUN
πΉοΈ Collection: https://huggingface.co/collections/prithivMLmods/multimodal-implementations
To know more about it, visit the app page or the respective model page!
Batch size is the number of holes, or the number of cars. Learning rate is your wheel size (assuming you have enough torque to make it so having a bigger wheel doesn't decrease your wheel RPM).