Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights
Paper • 2506.16406 • Published • 133
Jack Voide
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Recent Activity
reacted to qgallouedec's post with 👍 8 days ago
Shipped hf-sandbox! 🥡
🧪 Running an eval that executes model-generated C on a few thousand prompts? You probably don't want any of that on your laptop.
Just shipped hf-sandbox, a Modal-style sandbox API on top of Hugging Face Jobs. Spin up an isolated, ephemeral container, run untrusted code, get the result back. No Docker on your laptop, no infra to manage.
Just pip install hf-sandbox.
Early days (v0.1); feedback and issues very welcome:
👉 https://github.com/huggingface/hf-sandbox liked a model 11 days ago
Zyphra/ZAYA1-8B reacted to DedeProGames's post with 👍 13 days ago
GRaPE 2 Pro is now available.
https://huggingface.co/SL-AI/GRaPE-2-Pro
This is the flagship model of the GRaPE 2 family and the largest model I have trained to date, sitting at 27B parameters. It is built on Qwen3.5-27B and trained on a closed-source proprietary dataset, with roughly half of post-training focused on code and the rest split between STEAM subjects and structured logical reasoning. It punches seriously above its weight class.
GRaPE 2 Pro supports multimodal input (image + text) and features 6 thinking modes via the `<thinking_mode>` tag. This gives you real control over how hard the model thinks, from skipping the reasoning phase entirely with `minimal`, all the way up to `xtra-Hi` for deep, extended thought on hard problems. For most agentic use, `auto` or `low` is the move to keep things snappy.
It also runs on consumer hardware. You can get it going with as low as 12GB of VRAM on a quantized build.
If you want to try it out and give feedback, that would be really appreciated. Email us at `contact@skinnertopia.com`Organizations
