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User guide for LM Studio, GGUF model quantization selection (Q4_K_M vs Q8_0), Apple Silicon Metal offloading, and local API server setup.
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Best Local LLM for 16GB RAM in 2026: What Actually Fits
Qwen3.5-9B is the best local LLM for 16GB RAM, Gemma 4 12B the runner-up. KV cache math, fit checks, and when gpt-oss-20b is worth it.
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How Much VRAM for a 7B Model? Quantization and Context
Size a 7B model using documented memory figures for BF16, INT8 and INT4. Account for KV cache, context length and LM Studio GPU offload.
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LM Studio vs Ollama for Local LLMs: How to Actually Choose
A practical comparison of LM Studio and Ollama for local LLMs: licensing limits, OpenAI API coverage, and the memory and context defaults.
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GGUF vs Safetensors: Differences and LM Studio Support
Compare GGUF and Safetensors for inference, training, quantization and LM Studio support, including when MLX safetensors models can load on Apple Silicon.
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LM Studio System Requirements: RAM, VRAM, GPU
LM Studio system requirements for Windows, Mac and Linux: RAM and VRAM recommendations, CPU support, GPU offload and per-model hardware settings.
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LM Studio on Unraid: Headless Server Setup
LM Studio has no official Unraid app. The three real options for headless GPU inference on a server, what each costs you, and which one to pick.
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GGUF Quantization Levels: Q4_K_M vs Q8_0 Explained
How GGUF quantization trades model quality for memory, what Q4_K_M costs you against Q8_0, and how to match a quant level to the memory you have.