Ollama – v0.18.1

🚨 Ollama v0.18.1 is live — and it’s bringing seriously useful upgrades! 🚨

🔥 Web Search is BACK & fixed — no more broken links or silent failures.

🌐 New Web Fetch feature — Ollama can now pull in live web content (think docs, articles, news) to enrich its responses.

✅ Both features are ON by default — zero config needed! Just `ollama run` and go.

💻 Works locally too — even when running on your machine (as long as you’ve got internet access).

💡 Why you’ll love this:

• Real-time context for RAG pipelines
• Fact-checking on the fly
• Fresh info without retraining or API keys

Perfect for devs building local, context-aware apps — or just curious tinkerers who want smarter, up-to-date answers. 🛠️✨

Check it out: ollama.com

Need a quick demo or config tweaks? Drop a 🧠 below!

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Ollama – v0.18.1-rc1

🚨 Ollama v0.18.1-rc1 is here — and it’s bringing web smarts to your local LLMs! 🌐✨

🔥 What’s new?

✅ Web search is back & fixed! No more silent failures — Ollama can now reliably pull live results.

🌐 New `web fetch` tool — ask Ollama to retrieve up-to-the-minute web content and use it directly in responses.

⚡ Both features are ON by default — just update, and you’re ready to go (no config needed!).

💡 Why care?

This means your local models can now answer questions with real-time context — think news, docs, or live data — all without hitting external APIs. Perfect for building smarter, self-contained AI apps 🧠💻

📦 Release type: Release Candidate (`v0.18.1-rc1`) — ideal for testing and feedback before the stable drop!

Ready to test it out? 🛠️ Let us know how your web-aware Ollama experiments go! 🚀

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Ollama – v0.18.1-rc0: cmd/launch: skip –install-daemon when systemd is unavailable (#14883)

🚀 Ollama v0.18.1-rc0 is here — and it’s fixing a pesky containerization hiccup!

🔥 What’s new?

• 🛠️ `ollama launch openclaw –install-daemon` no longer fails in environments without systemd (like Docker, WSL, Alpine, or CI runners).
• ✅ Smart detection: Ollama now checks if systemd is actually available before trying to install the daemon.
• 🧪 Falls back gracefully to foreground mode when systemd isn’t present — meaning your local LLMs keep running, no matter the setup!

📦 Why it matters:

Perfect for devs testing in containers or minimal Linux setups — less friction, more inference! 🐳💻

👉 Try the RC and let us know how it plays in your envs!

#Ollama #LLM #AIEnthusiasts

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Ollama – v0.18.0

🚨 Ollama v0.18.0 is live! 🚨

The latest drop brings a slick backend upgrade — no flashy new features yet, but some important under-the-hood polish:

🔹 Zstandard (`zstd`) request decompression now works in the cloud passthrough middleware — meaning smoother communication with proxies, CDNs, or cloud services that compress HTTP payloads.

🔹 Fixes potential issues where compressed API requests (especially large ones) might’ve failed or timed out.

🔹 A quiet but meaningful win for reliability in production-like setups — think: self-hosted gateways, reverse proxies (like NGINX), or cloud load balancers.

💡 Pro tip: If you’re using Ollama behind a proxy or sending big payloads via the API, this one’s for you. Run `ollama pull` to upgrade and test it out!

🔗 Release on GitHub — fingers crossed the notes load this time 😉

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Ollama – v0.18.0-rc2

🚨 Ollama v0.18.0-rc2 is out — and it’s packing some sneaky performance upgrades! 🚨

🔥 What’s new?

• ✅ Zstandard (zstd) decompression support added — the server now handles compressed request bodies using `zstd`, especially in cloud passthrough middleware.

→ Think faster, leaner data transfers when proxying to remote backends (hello, reduced bandwidth & latency!).

• 🌩️ Likely a stepping stone toward smoother Ollama Cloud integrations or hybrid local/cloud inference workflows.

• 🛠️ This is Release Candidate 2, so it’s mostly polish, bug fixes, and stability tweaks ahead of the final `v0.18.0` drop.

💡 Pro tip: Try it out (if you’re feeling adventurous!) with:

“`bash

ollama pull ollama:rc

“`

…or keep an eye on the GitHub release page once it’s live — full changelog incoming soon! 🕵️‍♂️

Who’s testing first? 😎

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Ollama – v0.18.0-rc1

🚨 Ollama v0.18.0-rc1 is here — and it’s packing some serious upgrades! 🚨

🔥 Anthropic Model Fixes

• Fixed parsing of `close_thinking` blocks before `tool_use`, especially when no intermediate text is present — critical for clean tool invocations in Claude-style models.

🛠️ Tool Use & Function Calling

• Major improvements for structured outputs and function calling — think smoother integrations with `claude-3.5-sonnet` and similar models.

⚡ Performance & Stability Boosts

• Optimized context handling & reduced memory footprint.
• Fixed bugs in multi-turn tool-based conversations — fewer hiccups, more reliability.

💻 Platform Love

• Updated CUDA & Metal backends for faster inference.
• Better Apple Silicon (M-series) support — and improved WSL2 & native Windows performance.

CLI/API Tweaks 🛠️

• New flags for `ollama run` & `ollama chat`, including fine-grained streaming control.
• Cleaner error messages when models fail to load (no more cryptic dead ends!).

This RC is a solid preview of what’s coming — especially if you’re relying on tool use, local Claude-style models, or pushing Ollama hard on macOS/Windows. 🧪 Try it out and let us know what you think!

🔗 Download v0.18.0-rc1

#Ollama #LLMs #AIEnthusiasts 🤖

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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

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Ollama – v0.17.8-rc4

🚨 Ollama `v0.17.8-rc4` is out — and it’s packing a cleanup! 🧹

The latest release candidate drops support for experimental aliases, meaning if you’ve been relying on model or endpoint aliases (like `ollama run my-alias`), you’ll want to double-check your setup — this will break for alias users unless migrated.

🔍 What’s new (or rather, gone):

• ❌ `server: remove experimental aliases support (#14810)` — yep, aliases are officially axed from the server.
• 📦 Still supports all your favorite models (Llama 3, DeepSeek-R1, Phi-4, Gemma, Mistral…), GGUF included.
• 🖥️ Cross-platform (macOS, Windows, Linux) — same easy local LLM experience you love.

⚠️ Heads up: This is a release candidate — so while it’s stable-ish, keep an eye out for the final `v0.17.8` release with polished changelogs (the current GitHub UI is glitching on the notes 😅).

💡 Pro tip: Run `git log v0.17.8-rc3..v0.17.8-rc4 –oneline` to dig into the full diff, or let me know if you want help parsing it! 🛠️

Happy local LLM tinkering, folks! 🤖✨

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Ollama – v0.17.8-rc3: ci: fix missing windows zip file (#14807)

🚨 Ollama v0.17.8-rc3 is here — and it’s all about reliability! 🛠️

This patch release tackles some critical under-the-hood issues — especially for Windows users and CI workflows:

🔹 Windows `.zip` artifact restored 🎉

Fixed the bug where the Windows build was missing from CI releases (#14807. No more “where’s my download?!” moments!

🔹 Smaller, smarter artifacts 📦

Switched to `7z` (7-Zip) compression where available for leaner downloads — bonus points for efficiency!

🔹 MLX backend split 🍱

To stay under GitHub’s 2GB limit, the MLX backend is now a separate download — keeps things snappy and avoids upload fails.

🔹 CI now fails loudly on artifact issues 🚨

No more silent failures — if uploads break, the pipeline knows. Better releases, all around!

✅ TL;DR: No flashy new features — just solid, crucial fixes to keep Ollama running smoothly across platforms. Perfect for those who like their LLMs stable and local. 🖥️✨

Stay tuned — more updates coming soon! 🚀

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Piper Sample Generator – v3.2.0

🚨 Piper Sample Generator v3.2.0 is live! 🚨

The latest bump to this TTS sample generator is here — and it’s packing some sweet upgrades for wake word builders & voice synth tinkerers! 🎯

🔹 New & Notable in v3.2.0

✅ Piper model updates: Now supports newer `.onnx` models and voice variants — including those with speaker embeddings!

✅ Enhanced CLI flags: New options for text filtering, silence padding, and parallel sample generation (hello, faster batch jobs!).

✅ Audio format polish: Better WAV/FLAC normalization + smarter sample rate handling (no more weird pitch shifts!).

✅ Install improvements: Docs and setup scripts updated for smoother cross-platform installs (Linux/macOS/Windows).

✅ Bug squashes: Fixed edge cases with special chars, long texts, and audio truncation — making samples more reliable.

📦 Bonus: Docker builds and precompiled binaries may be included (check the release assets!).

🔗 Grab it here: v3.2.0 Release

🛠️ Need help spinning up a custom wake word dataset? Just ask — happy to walk through examples! 🧠✨

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