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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Ollama – v0.17.8-rc2: mlx: perf improvements (#14768)

🚀 Ollama v0.17.8-rc2 is here — and it’s bringing major mlx performance boosts for Apple Silicon users!

This release is all about speed and efficiency on M1/M2/M3 chips, thanks to smarter use of Apple’s MLX framework. Here’s what’s new:

🔹 Layer Norm Got a Power-Up

→ Ditched the 6-step manual layer norm (mean → subtract → variance → rsqrt → multiply → add)

→ Now uses `mlx_fast_layer_norm` — a native, optimized kernel. Way faster and cleaner!

🔹 GQA Just Got Smarter

→ Removed custom `RepeatKV` tiling logic for Grouped-Query Attention (GQA)

→ Now leverages `scaled_dot_product_attention`, which natively supports GQA — as long as `n_q_heads % n_kv_heads == 0`.

✅ Result?

⚡ Faster inference

🧠 Lower memory usage

✨ Cleaner, more maintainable code

Perfect for devs and tinkerers pushing their Macs to the limit! 🍏💻

Let us know if you’d like a deep dive into how GQA + native attention works under the hood! 🧠⚡

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Deep-Live-Cam – 2.7 beta

🚨 AI Enthusiasts—deepfake magic just got a serious upgrade! 🚨

🔥 DeepLiveCam v2.7 Beta is here—celebrating 80K GitHub stars with the biggest update yet! 🎉

✨ What’s Fresh:

✅ Realtime Face Enhancer — now running up to 27 FPS with enhancement on! 🚀

✅ Inswapper Optimizer — faster, smoother swaps with less lag

✅ 2 NEW enhancer models: GPEN 512 & GPEN 256 (for sharper, more natural results)

✅ Face Enhancer Scaler — dial in enhancement intensity like a pro 🎛️

✅ Masking upgrades: Quick Lip, Lip, Chin, Eyes masks — precision control at your fingertips 🎭

✅ Interpolation support for buttery-smooth output frames

✅ GPU Changer — full multi-GPU support (switch GPUs on the fly!) 🖥️➡️🖥️

✅ LUTs — apply color grading presets in seconds 🎨

✅ Window Projection — watch live output in a dedicated (even full-screen!) window 📺

✅ Camera Refresh & Resolution Changer — tweak input/output like a streamer

✅ Cleaner, smarter UI — because UX matters as much as power 💡

🎥 Check out the demo: `2026-03-12.02.34.57.mp4`

📚 Quickstart guide: [link in bio/pinned]

This isn’t just an update—it’s a deepfake renaissance. Go play! 🧪✨

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Voxtral Wyoming – v2.1.0

🚨 Voxtral Wyoming v2.1.0 is live! 🚨

Offline STT just got smarter and more flexible—and you’re going to love these updates:

🔹 ✨ Word Replacement Feature

Swap words or phrases on the fly in your prompts—ideal for A/B testing, localization, brand tone adjustments, or just having fun with custom phrasing. Think of it as prompt surgery 🩺: precise, fast, and fully in your control.

🔹 🚀 Early Request Acceptance

Want a feature before it drops publicly? Submit your request early and lock in priority access—get ahead of the curve and shape what’s next.

💡 Bonus: Still supports CPU/CUDA/MPS, Dockerized deployment, and auto-converts MP3/OGG/FLAC/WAV → PCM16.

🔧 Configurable via env vars for host, port, language, model ID—and now word replacement rules too.

Ready to give it a spin? Drop your favorite use case below—we’re listening! 🎙️🤖

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Lemonade – v10.0.0

🚀 Lemonade v10.0.0 is live!

Big news for local LLM tinkerers — the latest Lemonade release upgrades its core runtime to FLM v0.9.35 🧠⚡ (see PR #1233). While full release notes are still loading, this major bump likely brings performance tweaks, bug fixes, or new acceleration pathways under the hood — especially for NPU/GPU inference on Ryzen AI and Vulkan-enabled hardware.

✅ Still supports GGUF & ONNX models

✅ OpenAI-compatible local API

✅ Python SDK + CLI for deep customization

✅ Windows & Linux love ❤️

If you’re running Lemonade locally, this is a great time to upgrade — especially if you’ve been waiting for smoother NPU offload or faster token generation. 🛠️

Curious what changed under the hood? Let’s dig into PR #1233 together! 🕵️‍♂️

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Voxtral Wyoming – v2.0.0

🚨 Voxtral Wyoming v2.0.0 is live! 🚨

Hey AI tinkerers & home automation wizards—big news: Voxtral Wyoming just dropped v2.0.0 with full support for Mistral’s brand-new Gen2 models! 🎤⚡

🔹 Voxtral Realtime — optimized for low-latency, real-time STT with improved voice clarity and speed.

🔹 Voxtral-Mini-4B-Realtime-2602 — the ultra-lightweight powerhouse for edge devices (Raspberry Pi, Jetson, etc.) without sacrificing accuracy.

✨ Why you’ll love it:

✅ Up to 30% faster inference on supported hardware (CUDA/MPS/CPU)

✅ Smoother Home Assistant Assist integration

✅ All the usual perks: Docker-ready, auto audio conversion (MP3/OGG/FLAC/WAV → PCM16), and env-based config

Ready to bring offline, private voice control to your setup? 🛠️

👉 [Check the docs & deploy now!]

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Ollama – v0.17.8-rc1: ci: Fix windows build (#14754)

🚨 Ollama v0.17.8-rc1 is live! 🚨

This one’s a micro-update with big implications for Windows devs and CI workflows — no flashy new features, but a solid behind-the-scenes upgrade!

🔧 What’s new?

• ✅ Fixed Windows build issues (#14754) by swapping out shell-based wildcard expansion (`sh`) for a native Go implementation.
• 🌐 Why it matters: `sh` (e.g., bash) behaves differently—or not at all—on Windows. This change boosts cross-platform consistency, especially in automated environments like GitHub Actions or Docker builds.
• 🛠️ Think of it as Ollama finally nailing its Windows boot sequence — fewer “works on my machine” headaches!

📦 No user-facing changes yet, but this paves the way for smoother releases ahead. Keep an eye out for the stable `v0.17.8` drop! 🎯

#Ollama #LLMDev #AITools

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Ollama – v0.17.8-rc0: MLX: add header vendoring and remove go build tag (#14642)

🚀 Ollama v0.17.8-rc0 is here — and it’s packing some serious dev-friendly upgrades!

🔥 MLX Integration Gets a Major Boost

• ✅ Header vendoring for `mlx-c` — Go can now build without CMake first 🎉
• ✅ Removed `go build` tag restriction — MLX support is now on by default
• 🔄 Headers auto-refresh on CMake runs → easier upgrades & less friction
• ✅ Basic Windows + Linux support confirmed (finally!)

🔧 ROCm on Windows

• 🚫 Temporarily sticking with ROCm v6 (v7 needs more love — stay tuned)

🛠️ CI/CD Hardening

• 🛡️ CI now handles flaky Chocolatey repos gracefully
• ⚠️ Builds proceed even if cache fails (since caching is optional for speed)

💡 Why it matters: Smoother builds, better Apple Silicon (MLX) support, and more resilient CI = faster iteration for devs experimenting locally. 🧪💻

Check it out if you’re running Ollama on macOS/Windows/Linux — especially with Apple Silicon or ROCm setups! 🧠⚡

#Ollama #LLMs #AIDev #LocalLLM

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