
How to Load a Model in LM Studio: GUI, CLI and API
Load a model in LM Studio with Cmd/Ctrl+L, lms load, or the REST API. Set GPU offload and context length, and…

LMStudio vs Ollama: Ollama for servers, containers and shipped code; LM Studio for desktop model testing. Licenses, APIs and defaults compared.
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Load a model in LM Studio with Cmd/Ctrl+L, lms load, or the REST API. Set GPU offload and context length, and…

Qwen3.5-9B is the best local LLM for 16GB RAM, Gemma 4 12B the runner-up. KV cache math, fit checks, and when…

Size a 7B model using documented memory figures for BF16, INT8 and INT4. Account for KV cache, context length…

A practical comparison of LM Studio and Ollama for local LLMs: licensing limits, OpenAI API coverage, and the…

Compare GGUF and Safetensors for inference, training, quantization and LM Studio support, including when MLX …

See the minimum specs per OS (Apple Silicon with macOS 14+, an x64 AVX2 CPU on Windows, Ubuntu 20.04+ on Linu…
Running a language model on your own machine comes down to three decisions in order: whether the hardware can hold the model, whether the model exists in a format LM Studio can open, and which quantization of it to run. These cover all three.
Estimate the memory a model needs before downloading it. Runs in your browser.
The hard platform floors, and how to size a machine to the model you want.
What Q4_K_M actually costs you against Q8_0, and how to choose between them.
Why a model will not load, and how to find a build that will.
Serving models from a home server instead of a desktop? Read the headless and Unraid options.