Ollama – v0.18.0-rc0
🚨 Ollama v0.18.0-rc0 is out — and it’s bringing some slick cloud/local hybrid improvements! 🌩️💻
While the full release notes are still light (GitHub’s UI is being extra unhelpful right now 😅), here’s what we know (and suspect) based on the commit `9e7ba83` and recent trends:
🔹 Cloud + Local Workflow Fixes
→ `ollama ls` now still populates even when you run `ollama run <model:cloud>` — no more blank model lists!
→ Better sync between local tooling and cloud-hosted models.
🔹 Likely Additions & Fixes
✅ Improved FP8 / Q4_K_M quantization support (hello, faster inference on lower-end hardware!)
✅ Performance tweaks for Llama 3.2 & Phi-3 series
✅ ARM64 & macOS Sonoma/Ventura compatibility polish
✅ Potential GGUF format enhancements (more quant options? better metadata handling?)
💡 Pro tip: Run this to grab the official changelog once it’s live:
“`bash
curl -s https://api.github.com/repos/ollama/ollama/releases/latest | jq ‘.body’
“`
Let’s get testing — and share your early feedback! 🧪✨
#Ollama #LLM #AIEnthusiasts