view post Post 4626 You can now fine-tune Gemma 4 for free with our notebooks! ๐ฅYou just need 8GB VRAM to train Gemma 4 locally!Unsloth trains Gemma4 1.5x faster with 50% less VRAM.GitHub: https://github.com/unslothai/unslothGuide + Notebooks: https://unsloth.ai/docs/models/gemma-4/train See translation 5 replies ยท ๐ฅ 15 15 ๐ 8 8 โค๏ธ 3 3 + Reply
view post Post 3344 ๐๐ปโโ๏ธhello my lovelies , it is with great pleasure i present to you my working one-click deploy 16GB ram completely free huggingface spaces deployment.repo : Tonic/hugging-claw (use git clone to inspect)literally the one-click link : Tonic/hugging-clawyou can also run it locally and see for yourself :docker run -it -p 7860:7860 --platform=linux/amd64 \ -e HF_TOKEN="YOUR_VALUE_HERE" \ -e OPENCLAW_GATEWAY_TRUSTED_PROXIES="YOUR_VALUE_HERE" \ -e OPENCLAW_GATEWAY_PASSWORD="YOUR_VALUE_HERE" \ -e OPENCLAW_CONTROL_UI_ALLOWED_ORIGINS="YOUR_VALUE_HERE" \ registry.hf.space/tonic-hugging-claw:latest just a few quite minor details i'll take care of but i wanted to share here first See translation 2 replies ยท ๐ฅ 9 9 + Reply
Running on Zero Featured 1.84k Qwen3-TTS Demo ๐ 1.84k Generate speech from text with custom voice, cloning, or presets
view post Post 2197 ๐Just published a first-look at tencent/HunyuanImage-3.0-InstructTested its multi-image fusion and single-reference consistency. The results on complex prompts are quite impressive.Whatโs the most creative image task youโd give it?๐ Read the full analysis: https://huggingface.co/blog/imnotkitty/tencent-hy-image-v30-i2i See translation 8 replies ยท ๐ฅ 8 8 + Reply