This model has been #1 trending for 3 weeks now.
It's Qwen3.5-27B fine-tuned on distilled data from Claude-4.6-Opus (reasoning). Trained via Unsloth.
Runs locally on 16GB in 4-bit or 32GB in 8-bit.
Model: https://t.co/6KgPDHCJZ3
Introducing Unsloth Studio ✨
A new open-source web UI to train and run LLMs.
• Run models locally on Mac, Windows, Linux
• Train 500+ models 2x faster with 70% less VRAM
• Supports GGUF, vision, audio, embedding models
• Auto-create datasets from PDF, CSV, DOCX
• Self-healing tool calling and code execution
• Compare models side by side + export to GGUF
GitHub: https://t.co/2kXqhhvLsb
Blog and Guide: https://t.co/ENuTWal5AA
Available now on Hugging Face, NVIDIA, Docker and Colab.
You can now train MoE models 12× faster with 35% less VRAM via our new Triton kernels (no accuracy loss).
Train gpt-oss locally on 12.8GB VRAM.
In collab with @HuggingFace, Unsloth trains DeepSeek, Qwen3, GLM faster.
Repo: https://t.co/2kXqhhvLsb
Blog: https://t.co/HY6DwTnCwl
This is an incredible performance breakthrough from @UnslothAI.
12x faster fine-tuning, 35% less VRAM, all with no loss in accuracy enables fine-tuning of MoE models like gpt-oss-20b on just 16 GB of VRAM.
#PicoClaw: AI built the code in hours, matching #OpenClaw’s core features with only 1% code and 1% memory!
Ditch your Mac Mini—now you can run a full AI assistant on $10 RISCV hardware with 10MB RAM~
If it runs Linux, it can now be your personal AI Agent!
https://t.co/OF6rG9kgev
Build your own personal assistant with @openclaw
and Ollama using your models!
ollama launch clawdbot
Thank you for building something amazing @steipete!
A Chinese man invented an anti-mosquito device by attaching a net to a fan and placing a UV light behind it. The mosquitoes are drawn to the light and then get sucked into the net. I’m ready for this summer😭
omg.. this cant be real
China’s 4DV AI just dropped 4D Gaussian Splatting, you can turn 2D video into 4D with sound..
imagine.. we will be able to change camera angle, zoom in/out while watching movies
5 examples: