LM Studio is a desktop app for downloading and running large language models locally, commonly used with GGUF quantized models and the llama.cpp ecosystem. Recent coverage includes a user running a gemma 4 26b quant on two 8GB RTX 4060 cards via LM Studio at about 75 tok/s generation, the Inco Splash engine arriving in LM Studio with a claimed 144 tok/s for Qwen3.8-27B on an M5 Max, LumaBrowser importing models from LM Studio, and complaints that its download page redirects to the new Bionic Agent product.
64GB no longer a dead zone for local AI agentsA user reports running Qwen3 27B for agentic coding on a 64GB M4 Max, using about 48GB at 256k context. A 93% prompt cache hit rate means each turn processes only ~1k new tokens instead of 160k, avoiding a 20-minute prefill. With agents, context costs as much as weights, making 64GB a sweet spot.
User tests LFM2.5-24B-A2B, finds local performance poorA Reddit user tested the quantized LFM2.5-24B-A2B model across several local inference frameworks, reporting looping outputs and broken, incomplete code on a Hermes plugin task, and judged its performance poor.
LumaBrowser Open-Sourced: Local AI All-in-One on GitHubLumaBrowser is now open source and publicly hosted on GitHub. The project integrates LLM, image, music, and voice models, supports automatic model loading/unloading, imports from LM Studio, image generation, agent creation, scheduled tasks, and can set up a web server or cluster. It has had several thousand installs and extensive feedback.
Penguin Mail Open-Source Rust Email Client ReleasedPenguin Mail v1.0.0 launched as a GPL-3.0 open-source Rust email client for Linux, supporting Gmail, Outlook and more, with an optional local AI assistant for organizing mail.
Thank You, MradermacherA Reddit user thanked quant creator Mradermacher for high-quality quantizations that let gemma 4 26b run via LM Studio on two 8GB RTX 4060 cards, reaching about 75 tok/s generation and 1,500 prefill.
Transformers now runs llama.cpp quantsHugging Face added GGUF support to transformers, letting users load Hub checkpoints sized for their machine via from_pretrained. To approach llama.cpp performance, it reuses ggml kernels and cuts generate overhead, initially targeting Apple Silicon and the Qwen3.5 architecture. Local tools like Ollama, LM Studio and Jan are powered by llama.cpp.
Open-source engine Splash hits 144 tok/s on M5 MaxOpen-source inference engine Inco Splash launched, claiming 144 tok/s for Qwen3.8-27B on an M5 Max MacBook Pro, up to 3x Ollama and 2x oMLX decode speed. It requires M3 or newer, macOS 26.4+, and 36GB RAM, works with Claude Code and Codex, and is available in LM Studio.
User complains LM Studio download redirected to Bionic AgentA user complained LM Studio's site redirects downloads to its new Bionic Agent product, making it hard to find and download the original LM Studio and hurting goodwill.
The A.I. Daily