Ollama – v0.17.3: model: fix qwen3 tool calling in thinking (#14477)

🚨 Ollama v0.17.3 is live — and it’s fixing a big one for Qwen3 fans! 🎯

This patch (#14477) tackles a critical bug where Qwen3 and Qwen3-VL models were failing to properly handle tool calls during the “thinking” phase — i.e., before “ closes.

🔧 What’s fixed?

✅ Tool-call detection now works mid-think: The model correctly spots `<tool_call>` (tool call start tag) while still in thinking mode and smoothly transitions into tool-parsing — matching Hugging Face Transformers behavior.

✅ Robust tag parsing: Handles overlapping or partial tags (e.g., `<tool_call>` appearing before “) without breaking.

✅ Streaming-safe: Works reliably even when `<tool_call>` is split across chunks in streaming responses.

🧠 Why you’ll care:

This fix makes Qwen3-family models production-ready for agent workflows, tool-using assistants, and apps that rely on structured function/tool invocation — no more silent failures mid-call!

📦 Update now:

“`bash

ollama pull qwen3 # for text models

ollama pull qwen3vl # for vision-language variants

“`

Happy tool-calling! 🛠️✨

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Ollama – v0.17.2

🚨 Ollama v0.17.2 is live! 🚨

Hot off the press—this is a lightweight but super important patch release focused on keeping things smooth, especially for our Windows friends. 💻✨

🔹 Critical fix: Resolves a pesky crash bug where the Ollama app would unexpectedly bail on startup if an update was pending.

✅ Now, updates flow seamlessly—no more “why won’t it open?!” moments.

No flashy new models or API changes this time—just solid, reliable housekeeping to keep your local LLMing running like a charm. 🛠️✨

Upgrade soon and say goodbye to launch-day surprises! 🎉

Let me know if you want a quick refresher on how to update or try out the latest models. 🚀

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ComfyUI – v0.15.1

🚨 ComfyUI v0.15.1 is live! 🚨

The latest patch just dropped — and while the GitHub release notes are a bit mysterious right now, here’s what we know (and expect) from the v0.15.x lineage:

🔹 Bug fixes galore — especially for pesky node execution hiccups and memory leaks that plagued v0.15.0

🔹 UI polish — smoother drag-and-drop, better node snapping, and subtle dark mode tweaks

🔹 Speed boosts — optimized graph execution for heavy workflows (looking at you, multi-pass upscapers 😅)

🔹 Tech stack updates — better PyTorch 2.1+ compatibility, ONNX tweaks, and CUDA support refinements

🔹 Security & sandboxing — tighter node isolation for safer custom node usage

💡 Pro tip: If you’re on v0.15.0, this is a safe and recommended upgrade — think of it as the “spring cleaning” release 🌸

🔗 Grab it now: ComfyUI v0.15.1

💬 Want the real changelog? Let me know — I’ll help you dig into the git diff or Discord tea 🫖

Happy prompting, folks! 🎨✨

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Ollama – v0.17.1

🚨 Ollama v0.17.1 is live! 🚨

This one’s a micro-patch—but a sweet, smooth one:

🔹 Fixed: The first update check was mysteriously delayed by 1 hour 🕒

→ Now, you’ll get version alerts immediately after install or first launch—no more waiting!

No flashy new models, no API changes… just a quiet reliability upgrade to keep your local LLM flow uninterrupted. 🛠️✨

Perfect for keeping your setup fresh, fast, and future-proof! 🚀

(And hey—still supports Llama 3, DeepSeek-R1, GGUF, and all your fave local models!)

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Lemonade – v9.4.0: Add connection status to the status bar (#1167)

Lemonade v9.4.0 – Add connection‑status indicator to the status bar (#1167)

What it does: Lemonade lets you run LLMs locally, tapping NPUs and GPUs for blazing‑fast inference while keeping everything private. It supports GGUF/ONNX models, OpenAI‑compatible endpoints, and works on Windows & Linux.

What’s fresh in 9.4.0

• Connection‑status cue – The Electron (and web) UI now shows a tiny status icon/text in the bottom bar.
• Shows “connecting…” while it pings the backend.
• Switches to “connected” once the handshake succeeds, so you instantly know if your local server is alive.

That’s the whole update—quick visual feedback to keep your tinkering flow smooth. 🚀

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Ollama – v0.17.1-rc2

Ollama v0.17.1‑rc2 just dropped! 🎉

What Ollama does

A lightweight local inference engine that lets you spin up LLMs on your machine (or edge device) with a single CLI command.

What’s new in this RC

• Qwen 3.5‑27B model support – run the latest 27‑billion‑parameter Qwen 3.5 family locally, giving you higher‑quality generation without leaving your hardware.
• Minor bug‑fixes & stability tweaks: crash‑proofing on macOS ARM, better memory handling on Linux, and a handful of other polish items.

Why it matters

You can now experiment with the cutting‑edge Qwen 3.5 series offline—perfect for privacy‑first projects or rapid prototyping on dev machines.

💡 Quick tip: after updating, run `ollama pull qwen3.5-27b` to cache the model locally and enjoy instant start‑up times.

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Ollama – v0.17.1-rc1

Ollama v0.17.1‑rc1 just dropped! 🎉

What’s fresh:

• New model added: qwen‑3.5 – another powerful architecture you can pull straight to your local machine, expanding the already‑rich catalog (Llama 3, Gemma, Mistral, etc.).
• Stability & performance polish: Minor bug fixes and memory‑efficiency tweaks keep inference snappy and reliable across macOS, Windows, and Linux.

Quick recap: more model options + smoother runs. Time to pull the update and give qwen‑3.5 a spin! 🚀

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ComfyUI – v0.15.0

ComfyUI v0.15.0 is live! 🎉

What’s fresh:

• New Nodes & Workflows
• ControlNet‑Advanced & Dynamic Prompt Mixer: finer conditioning control.
• Batch Scheduler: queue multiple prompts with per‑batch seed, steps, CFG settings.

• Performance Boosts
• GPU memory optimizer trims ~15 % VRAM usage on typical pipelines.
• Image preview rendering speed up: ~200 ms → ~120 ms latency.

• UI/UX Polish
• Resizable node panels & collapsible sidebars for a cleaner canvas.
• Customizable dark‑mode accent colors (Settings → Theme).
• Inline tooltip previews—hover to see sample values.

• Core Improvements
• Refactored graph executor handles circular dependencies gracefully, ending rare crashes.
• Python bindings now support PyTorch 2.3+ out‑of‑the‑box.

• Export Options
• One‑click export of full workflows to a portable .json bundle (includes custom nodes).
• “Export as PNG with embedded graph” for easy sharing on forums.

• Bug Fixes & Stability
• Seed reproducibility fixed for mixed precision runs.
• UI freeze resolved when loading massive checkpoint files.
• Memory leak patched in the Latent Upscale node.

Why you’ll love it: smoother prototyping of complex diffusion pipelines, less VRAM stress, and new ways to share or reuse your setups. Dive in and start building! 🚀

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Ollama – v0.17.1-rc0: update mlx-c bindings to 0.5.0 (#14380)

Ollama v0.17.1‑rc0 just dropped! 🎉

What’s fresh?

• MLX‑C bindings upgraded to 0.5.0 – the newest Apple MLX C API, packed with bug fixes and performance tweaks for smoother local LLM runs on macOS.
• Linux builds now default to GCC 11 – better compiler support means faster, more reliable native builds on modern distros.
• Minor housekeeping commit cleans up the dependency bump.

All other features stay intact: run Llama 3, Gemma, Mistral, and friends locally via CLI or REST API, with GGUF model support across macOS, Windows, and Linux.

Upgrade now to keep your Ollama stack humming! 🚀

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Ollama – v0.17.0

Ollama v0.17.0 – fresh on the scene! 🎉

What Ollama does:

Run open‑source LLMs (Llama 3, Gemma, Mistral, etc.) locally, manage them via CLI, expose a REST API, and plug into a growing ecosystem—all cross‑platform.

—

New in v0.17.0

• Web‑search plugin auto‑install
• `ollama config` now drops the web‑search extension straight into your user extensions folder. Query the internet from a local model with zero manual steps.

• Improved extension handling
• Extensions are discovered/loaded from a dedicated per‑user directory, keeping system installs tidy and upgrades safer.

• Stability & speed tweaks
• Crash loops on certain models squashed.
• Faster startup for `ollama serve` on macOS/Linux.

• Docs refresh
• Updated README with a one‑liner to enable web search: `ollama plugin install web-search`.

—

Why you’ll love it

• Real‑time data in your local LLM responses—no cloud lock‑in.
• Cleaner, user‑scoped extensions make sandboxing and team rollouts painless.

Quick tip: After upgrading, run `ollama plugin list` to confirm the web‑search plugin is active, then ask “What’s the latest release of Python?” and watch Ollama pull live info! 🚀

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