🧭 Guided Mode
Answer simple questions about your machine — OS, RAM level, and use case. We handle the rest.
Find the Perfect Local AI Model for Your Hardware
LocalClaw recommends the best open-source LLM for LM Studio based on your RAM, GPU and use case. 100% private — everything runs in your browser. No data collected. Ever.
How LocalClaw Works
⚡ Quick Spec Mode
Know your specs? Select RAM, GPU and priorities directly for instant AI model recommendations.
🖥️ Pro Terminal Mode
Paste your system diagnostics output. We auto-detect OS, RAM and GPU to find your perfect model.
Supported AI Models (2026)
Qwen 3 — 4B, 8B, 14B, 32B
Llama 3.3 — 3B, 8B, 70B
Gemma 3 — 1B, 4B, 12B, 27B
DeepSeek R1 — 8B, 14B, 32B
Phi-4 Mini — 3.8B
Mistral — 7B, 24B
LLaVA 1.6 — 7B Vision
Moondream 2 — 1.9B Vision
Frequently Asked Questions
What is LM Studio?
LM Studio is a free desktop application that lets you run Large Language Models (LLMs) locally on your computer. No internet needed, no data sent anywhere. It provides a chat interface similar to ChatGPT but everything runs on YOUR hardware.
What is quantization (Q4, Q5, Q8)?
Quantization is a compression technique that reduces model size while preserving most of the quality. Think of it like JPEG compression for images. Q4 = more compressed (smaller, slightly lower quality), Q8 = less compressed (larger, nearly original quality). Q5_K_M is the sweet spot for most users.
How much RAM do I need to run a local AI model?
Rule of thumb: the model file size + ~2-3 GB for the system. A 5 GB model needs at least 8 GB RAM. On macOS with Apple Silicon, the unified memory makes things more efficient. On Windows/Linux with a GPU, VRAM helps offload the model.
Apple Silicon vs NVIDIA GPU for local AI?
Apple Silicon (M1-M4) uses unified memory, meaning your entire RAM is available for the model. This is incredibly efficient. NVIDIA GPUs are faster for inference but limited by VRAM (typically 8-24 GB). Both are great choices.
Is my data private when using LocalClaw?
Yes! LocalClaw runs entirely in your browser — zero data is collected or sent anywhere. When using LM Studio with recommended models, everything runs locally on your machine. No cloud, no tracking, no API calls.
What are the best local AI models in 2026?
For 8 GB RAM: Qwen 3 8B and Llama 3.3 8B offer the best quality. For 16 GB: Qwen 3 14B is king. For 32 GB+: Qwen 3 32B and DeepSeek R1 32B rival GPT-4. For coding: Qwen 2.5 Coder 7B. For vision: Gemma 3 12B. For reasoning: DeepSeek R1 series.