Author: Tater Totterson

Tater – Tater v38

Tater v38 just dropped—and it’s got Siri on speed dial 🥔🎙️

Ask your HomePod “What’s trending on Overseerr?” or “Launch MiSTer” and Tater replies like a chill buddy—short, smart, Siri-optimized. No more robotic jargon. Just clean JSON tool calls and natural voice flow.

🧠 Smarter memory: Each device keeps its own chat history (with TTL caps)—your iPhone won’t remember you asked for pineapple pizza at 3am.

💬 Tighter prompts: Less “according to the model,” more “hey buddy, here’s what’s hot.”

🔧 New plugins:

• 🎮 MiSTer Remote — launch your retro games from the couch
• 🔍 Web Search — instant answers, zero tabs open
• 🎥 Overseerr Request & Trending — see what’s trending and add films with your voice

Now your kitchen counter has a potato-powered AI that knows your movie queue and your SNES library. No laptop needed. Just ask.

Check the README for install tips—Docker or Python, you pick!

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Ollama – v0.12.10

🚀 Ollama v0.12.10 just dropped — quiet, but mighty!

✅ Code signing is back on macOS & Windows — safer installs, trusted binaries, zero sketchy downloads.

🔧 No flashy new models or UI glitz… just clean, solid housekeeping for devs who run LLMs in production.

If you care about security, integrity, and smooth local inference — this patch is your unsung hero.

Keep those Llama 3, DeepSeek, and Mistral models humming! 🤖💻

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Text Generation Webui – v3.17

🔥 Text Generation WebUI v3.17 just dropped — and it’s a beast!

💥 Security upgrade: `torch.load()` now defaults to `weights_only=True` — no more sketchy pickle loads in Training_PRO. Safe mode = activated.

🧩 Hugging Face fix: Pinning `huggingface-hub==0.36.0` to squash those pesky venv install bugs. No more “why won’t this install?!” moments.

📊 Training cleanup: `evaluation_strategy` → `eval_strategy` (thanks, @inyourface34456 — clean code wins again!).

🚀 Backend power-ups:

• 🖼️ Qwen3-VL support landed in llama.cpp — multimodal models now run natively. Text + images? Yes, please.
• 🚀 `exllamav3` updated to v0.0.12 — faster, smoother, less stuttering. Your GPU will thank you.

📦 PORTABLE BUILDS ARE LIVE!

No install. No fuss. Just download, unzip, run:

• 🖥️ NVIDIA: `cuda12.4`
• 🖥️ AMD/Intel: `vulkan`
• 💻 CPU-only: `cpu`
• 🍎 Apple Silicon: `macos-arm64`
• 🍏 Intel Mac: `macos-x86_64`

🔧 Upgrading?

Drop your old `user_data/` folder into the new zip — all models, settings, and custom themes preserved.

Go run Qwen3-VL on your old laptop. Your CPU won’t know what hit it. 🤖💥

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Lemonade – v8.2.1

🔥 Lemonade v8.2.1 just dropped — and it’s production-ready now.

C++ stack got a full glow-up: tray icons, installers, CLI glitches, Ctrl+C crashes — all DEAD. This isn’t a patch; it’s a rebirth.

🚀 Linux users: `.deb` installer landed! `apt install lemonade` on Ubuntu/Debian — no more compiling from source. Mac support polished too.

🧠 Qwen3 GGUF now has `enable_thinking` — unlock deeper reasoning on complex prompts. Think smarter, not just faster.

⚡ `ryzenai-serve` → `ryzenai-server`. Now with halt & reasoning, cleaner logs, and smoother shutdowns. AMD Ryzen folks — this one’s for you.

📊 Real-time memory tracking! Health endpoint shows context size + VRAM usage. No more guessing how much your model is eating.

🧩 Model Manager rebuilt: faster, cleaner, smarter. FLM updates? No more stale models sneaking in.

💻 Web UI & CLI got polish: cleaner commands, better streaming logs, no more redundant callbacks. Feels like a real product now.

📦 Python 8.2.1 synced too — lm-eval fixes, bigger default context/batch sizes for embeddings.

🧪 Test workflows cleaned up. Fewer false CI failures, more confidence in every release.

This isn’t just an update — it’s Lemonade stepping out of beta and into the big leagues.

Grab it. Break it. Tell us how 😄

🔗 Full changelog

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Ollama – v0.12.10-rc1

🚀 Ollama v0.12.10-rc1 just dropped — and it’s all about trust, not flash!

🔒 Code signing is back on macOS & Windows — your downloads are now cryptographically verified, so you know it’s really Ollama, not a sneaky imposter.

Perfect for enterprises, devs in locked-down environments, or anyone who hates “this file is untrusted” warnings.

No new models. No UI tweaks. Just clean, quiet hardening — because security shouldn’t be an afterthought.

💡 Pro tip: If you script installs or deploy via CI/CD, your checksums and signature checks are back in action.

Keep it local. Keep it safe. 🛡️

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Wyoming Openai – Maintenance release (0.3.9)

🚀 Wyoming OpenAI v0.3.9 is live — lean, mean, and ARM-ready!

🔧 CLI & Env Fixes: Now accepts real option names (no more internal ID confusion), and `STT_BACKEND`/`TTS_BACKEND` are case-insensitive. Typos? Clearer errors now!

🍎 ARM64 Support: Docker images built for Raspberry Pi, M1/M2 Macs — no more emulation. Just `docker pull` and go!

📦 Deps Upgraded: OpenAI v2.7.1, Ruff, pytest — faster, stabler, future-proofed.

⚙️ Build Pipeline Upgraded: GitHub Actions now use `build-push-action@v6` with QEMU + Buildx for seamless multi-arch builds.

📖 Docs updated to v0.3.9 — no more outdated examples!

7 files changed, +162/-17 lines. Zero fluff. Pure utility.

Install via `pip install wyoming-openai` or pull the new Docker image — your Pi (or M2 Mac) will thank you. 🐧🍎

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ComfyUI – v0.3.68

ComfyUI v0.3.68 is live — quiet updates, massive stability wins! 🛠️✨

• Fixed a nasty crash when custom nodes had missing deps — no more sudden workflow deaths.
• Node loading now more resilient: one misbehaving node won’t bring down your whole pipeline.
• Smoother UI: tooltips landed in the right place, canvas renders faster even on massive setups.
• Under-the-hood dependency updates to squash security alerts — clean, quiet, and secure.

If you run custom nodes or heavy workflows? Update now. The best releases are the ones that just… work. 😌

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Ollama – v0.12.9

💥 Ollama v0.12.9-rc0 just dropped — and it’s a GAME CHANGER for CPU-only users!

No more sluggish LLM inference on your old laptop or cloud instances. This update slays the performance regression that’s been holding back CPU-based runs.

✅ Snappier responses

✅ Smoother local workflows

✅ Full GGUF + Llama 3, DeepSeek-R1, Phi-4, Mistral support intact

Perfect for devs prototyping on bare metal or running lightweight models without a GPU. No flashy features — just pure, quiet speed gains. 🚀

Check the changelog — this one’s a hero update you’ll feel in every token.

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Ollama – v0.12.9-rc0: ggml: Avoid cudaMemsetAsync during memory fitting

🚀 Ollama v0.12.9-rc0 just dropped — and it’s a quiet hero for GPU warriors!

The secret sauce? `ggml` now skips `cudaMemsetAsync` during memory fitting when it hits invalid pointers.

💡 Why it rocks:

• No more crashes when checking if your 70B model fits on a 24GB GPU
• Smoother `op_offload` workflows — no more CUDA tantrums during sizing checks
• Faster, more stable memory estimation under pressure

Think of it like silencing a false alarm before you pack your suitcase — no noise, just better packing.

Perfect for folks running Llama 3, DeepSeek-R1, or Mistral on edge GPUs. No reinstall needed — just update and let Ollama handle the heavy lifting. 🤖⚡

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Ollama – v0.12.8: win: avoid ID mixups on refresh (#12869)

Ollama v0.12.8 just dropped—and Windows AMD GPU users, this is your win! 🎯

The fix? No more sneaky GPU ID mixups. On Windows, AMD’s device IDs would shuffle during refreshes, causing Ollama to accidentally pick your integrated iGPU instead of your powerful RX/RTX card. 😱

Now? Ollama respects GPU filters, ignores unsupported iGPUs entirely, and gives your discrete GPU the spotlight it deserves.

✅ No more misattributed VRAM

✅ Clean, accurate GPU detection on AMD Windows rigs

✅ Inference finally runs where it should—on your real GPU

Update now and stop letting your laptop’s integrated graphics do all the work. 🚀

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