Building on HF

Toti-Hone Ihaka Ranga

TheWheke

https://mdi.net.nz/

Te-Wheke

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updated a dataset 29 days ago

TheWheke/gemini-3-pro-10000x-hard-high-reasoning

reacted to danielhanchen's post with 👍 30 days ago

You can now fine-tune Qwen3.5 for free with our notebook! 🔥 You just need 5GB VRAM to train Qwen3.5-2B LoRA locally! Unsloth trains Qwen3.5 1.5x faster with 50% less VRAM. GitHub: https://github.com/unslothai/unsloth Guide: https://unsloth.ai/docs/models/qwen3.5/fine-tune Qwen3.5-4B Colab: https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_5_(4B)_Vision.ipynb

reacted to danielhanchen's post with 🤗 30 days ago

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updated a dataset 29 days ago

TheWheke/gemini-3-pro-10000x-hard-high-reasoning

Viewer • Updated 29 days ago • 10k • 23

reactedto danielhanchen's post with 👍🤗🚀🔥 30 days ago

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2991

You can now fine-tune Qwen3.5 for free with our notebook! 🔥

You just need 5GB VRAM to train Qwen3.5-2B LoRA locally!

Unsloth trains Qwen3.5 1.5x faster with 50% less VRAM.
GitHub: https://github.com/unslothai/unsloth
Guide: https://unsloth.ai/docs/models/qwen3.5/fine-tune
Qwen3.5-4B Colab: https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_5_(4B)_Vision.ipynb

reactedto branikita's post with 🚀 30 days ago

Post

1533

We tested our 3D-printed parallel gripper for the SO-ARM100/101 robotic platform, successfully handling a 1.5 kg payload. The gripper features a 100.5mm full stroke and ±0.05mm repeatability — all for around $76 in parts and 30 minutes of assembly.

Full source code, STL files, and assembly guide are open-source and available on GitHub: https://github.com/roboninecom/SO-ARM100-101-Parallel-Gripper