01 // INIT
Guided Mode
Simple questionnaire. OS, RAM level, use case. We handle the complexity.
Ex: MacBook Air 8 GB → Qwen 3 8B
132 Models - Updated MAR 2026
Find the right
local LLM_
Stop sending your data to the cloud. Find the perfect open-source model for your hardware.
How LocalClaw Works
02 // SPEC
Quick Spec
Direct input. Select RAM, GPU and priorities for instant logic execution.
Ex: 32 GB RAM + RTX 4090 → DeepSeek R1 32B
03 // TERM
Terminal
Paste diagnostics. Auto-detection of OS/RAM/GPU for precision targeting.
Ex: Paste neofetch → auto-detect & match
Database // Models
UPDATED: 2026-02-14
GPT-OSS — 20B (OpenAI)
DeepSeek V3.2 — 671B MoE
Trinity Large — 70B MoE
Qwen 3 — 4B, 8B, 14B, 32B
Qwen 3.5 — 35B-A3B, 27B, 122B-A10B ⭐ New!
Llama 3.3 — 3B, 8B, 70B
Gemma 3 — 1B, 4B, 12B, 27B
DeepSeek R1 — 7B, 14B, 32B, 70B
Phi-4 — 3.8B Mini, 14B
GLM 4.7 — 9B Flash, 26B
Kimi K2.5 — 1T MoE
Mistral — 7B, 24B
MiniMax M2.1 — 45B MoE
LLaVA / Gemma Vision — 7B, 27B
Qwen 2.5 Coder — 7B, 32B
+ 106 more… See all →
Local TTS Models — NEW!
View all TTS models →Text-to-Speech models that run 100% offline on your hardware. Perfect for voice assistants, audiobooks, accessibility, and creative projects.
Qwen3 TTS New!
30+ languages, streaming
MeloTTS
Voice cloning, Chinese/EN
Piper
Raspberry Pi optimized
Coqui XTTS
6s voice cloning
+ 10 more…
Bark, MMS, Fish Speech
Real-time
Voice Cloning
50+ Languages
CPU/GPU/Edge
All-in-one
Manage all your local AI. $49. One-time.
Install, update and manage all your local models from a single unified dashboard.
View PricingFrequently 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 plus 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. For 16 GB: Qwen 3 14B. For 32 GB+: Qwen 3 32B and DeepSeek R1 32B. For coding: Qwen 2.5 Coder 7B. For vision: Gemma 3 12B. For reasoning: DeepSeek R1 series.
What is OpenClaw?
OpenClaw is the open-source, self-hosted AI assistant at the heart of the LocalClaw ecosystem. It connects to your local models running in LM Studio or Ollama and provides a unified chat interface on desktop, web, and CLI. It's 100% private — no telemetry, no cloud, no API keys required.
What is LocalClaw Installer and what does it cost?
LocalClaw Installer is the native macOS app that manages your local AI setup — install models, handle updates, switch versions, and launch everything with one click. No terminal needed. It's a one-time purchase at $49, no subscription, no recurring fees. Your license is valid forever. See pricing →
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