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This repository provides a BF16 GGUF conversion of the Spark-X2.5-4B language model, enabling local inference with Ollama and LM Studio.
LM Studio has been featured on Apple's new M5 Mac Studio product page, highlighting its integration with the hardware.
The user switched from LM Studio to vLLM for serving Qwen 3.8 models, achieving 143 tokens per second and reduced GPU temperatures, referencing a helpful GitHub repository.
User seeks advice on the best operating system (Windows or Linux) and inference server to run the Qwen3.8.27b model on a dedicated AI rig with RTX 5090 and 96GB RAM for optimal performance.
LM Studio users are concerned that the company is de-emphasizing its original local LLM app by redirecting attention and downloads to its new Bionic agent, while the main app receives few updates and is harder to find on the website.
A GitHub patch allows running DeepSeek V4 Flash in LM Studio on 128GB Macs by sideloading antirez's llama.cpp fork, working around struct-layout drift, decoding splits, and code-signing issues.
A detailed comparison of three local AI runtimes—Ollama, LM Studio, and llama.cpp—helping practitioners choose the right one for their workflow based on interface, API compatibility, quantization control, and more.
LM Studio launches Bionic, an AI agent for open models that supports coding, document work, and offline voice transcription, with flexible model execution and zero data retention.
Benchmark shows that running 4-5 parallel agents with LM Studio on RTX 5090 maximizes throughput, while more agents yield diminishing returns due to VRAM and compute splitting.
A comprehensive guide to optimizing local LLM inference on consumer hardware, covering tools like llama.cpp, vLLM, and LM Studio, with practical advice on memory hierarchy, layer placement, and common failure modes.
A user reports that the latest LM Studio update (0.4.17) eliminated the multi-token prediction speed boost, reverting to previous performance on an RTX 5090 setup.
User asks whether providing a sample of their writing style to a local LLM is more effective in the conversation or in the system prompt.
A fully offline, CPU-only voice loop for local LLMs using Silero VAD, Parakeet STT, and Supertonic TTS, integrated via a one-command installer. Works with Ollama, LM Studio, and various agent frameworks.
Yagil Bubrovnik presented at WWDC, demoing LM Studio's upcoming clustering feature on stage, crediting the MLX team for their work.
LM Studio enables running local open-source AI models on your phone by borrowing compute from your MacBook, 100% free.
Guides users on running the Gemma 4 12B multimodal local model on a MacBook with 16GB RAM using LM Studio and Codex, enabling free token usage.
Google released Gemma 4 12B, a dense mid-sized model that runs on laptops, under Apache 2.0, now available in LM Studio.
A user successfully runs the Qwen3.6-35B-a3b-MTP model on a decade-old workstation with a GTX 1060 6GB using LMStudio under Windows, achieving acceptable chat speeds.
LM Studio 0.4.14 introduces MTP (Multi-Turn Prompt) support, enhancing its local AI model capabilities.
LM Studio has added support for MTP speculative decoding in its latest beta update, improving inference speed for local LLMs.