Runs 7B models — Refurbished devices
9 refurbished laptops, desktops & mini PCs for running Ollama, LM Studio, Llama 3, Qwen, and Mistral locally — no cloud, no API key. Ships same day from Reno, NV.
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9 devices · Tablet/2-in-1 · Runs 7B models
Tablet/2-in-1HP
HP ENVY x360 15m-ee0013dx 2-in-1 15.6" TOUCH AMD Ryzen 5 4500U 16GB 256GB W11H
Tablet/2-in-1Dell
Dell Latitude 9410 2-in-1 14" FHD Touch i7-10610U 16GB 256GB W11P+65W Dell PA
Tablet/2-in-1Dell
Dell Inspiron 7306 2-in-1 4K Touch Laptop Core i7-1165G7 512GB SSD 16GB +Pen
Tablet/2-in-1HP
HP Elite x360 830 G9 13.3"FHD+ 2-in-1 TOUCH i7-1255U 1.7GHz 16GB 512GB +Charger
Tablet/2-in-1HP
HP ENVY x360 15-EW0023DX 2-in-1 15.6" Touch i7-1255U 1.7GHz 16GB 512GB W11H + PA
Tablet/2-in-1Microsoft
Microsoft Surface Pro 8 13" 2-in-1 Touch 2880x1920 I7-1185G7 16GB 512GB SSD W11P
Tablet/2-in-1Microsoft
MS Surface Book 3 2in1 15" 3K TOUCH i7-10 1.3GHz 16GB 256GB SSD GTX 1660 Ti +PA
Tablet/2-in-1Dell
Dell 14 Plus 2-in-1 DB04255 14"FHD+ TOUCH AMD Ryzen AI 7 350 16GB 1TB 100% batt
Tablet/2-in-1Dell
Dell 16 Plus 2-in-1 DB06250 16"FHD+ TOUCH Ultra 7 256V 16GB 1TB W11Home WRTY2027
How to run AI locally
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Install Ollama
Free. ollama.com. 2 minutes.
Pull a model
ollama run llama3
Chat privately
Nothing leaves your machine.
Common questions
What laptop do I need to run Llama 3.1 locally?
To run Llama 3.1 8B comfortably, you need at least 16GB RAM. For Llama 3.1 70B, you need 32GB+ RAM or a GPU with 16GB+ VRAM. Apple Silicon MacBooks (M1/M2/M3/M4) with 16GB unified memory run 8B models at 20–40 tokens/sec with no setup beyond installing Ollama.
Can I run local AI on a laptop without a GPU?
Yes. CPU-only inference works well for 7B–8B models on any laptop with 16GB+ RAM. Expect 5–15 tokens/sec, which is readable in real time. For faster speeds, a laptop with a discrete NVIDIA GPU (6GB+ VRAM) or Apple Silicon is recommended.
How much RAM do I need to run AI models locally?
8GB RAM is the minimum — runs Phi-4 Mini and Llama 3.2 3B only. 16GB RAM runs Llama 3.1 8B and Qwen3 7B at usable speeds. 32GB runs Qwen2.5 14B and 32B Q4 models. 64GB runs 70B models at full quality.
Do desktops and mini PCs work for local AI?
Yes. A Dell OptiPlex or Intel NUC with 16GB RAM runs 7B models well. Gaming desktops with RTX GPUs (8GB+ VRAM) handle 13B–32B models at 20–50 tokens/sec.
Is Apple Silicon (M1/M2/M3/M4) good for running local AI?
Apple Silicon is excellent for local AI. Unified memory means the GPU and CPU share the same RAM pool, so a 32GB M2 Pro can offload a full 32B model to the GPU. Metal acceleration is automatic via Ollama. M1 16GB runs 8B models at 20–30 tokens/sec. M2/M3/M4 32GB runs 32B Q4 models at 15–25 tokens/sec.
How do I start after buying a device?
Install Ollama from ollama.com (free, 2 minutes). Open Terminal and run: ollama run llama3.1:8b — it downloads the model and starts automatically. For a ChatGPT-style interface, install LM Studio from lmstudio.ai. No cloud account, no subscription, no data leaving your machine.