Runs 7B models — Refurbished devices
347 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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347 devices · Runs 7B models
Lenovo
Lenovo Legion 5 Pro 16" WQXGA 165hz i7-11800H 2.3GHz 16GB 512GB RTX 3050 4GB
Lenovo
Lenovo ThinkPad X13 Gen 6 Intel Ultra 7 255U 16GB 512GB Win 11 Pro WARRANTY
Dell
WRTY 2029 /Dell Pro 16 Plus PB16250 16" Core Ultra 7 265U 2.1GHz 16GB 512GB SSD
Lenovo
Warranty 2030 Lenovo ThinkPad E16 Gen 2 16"TOUCH AMD Ryzen 7 16GB 512GB Win11Pro
HP
HP ZBook Firefly G11 14"FHD+ ULTRA 7 165U 16GB 512GB W11P 1cycle Warranty03/2029
HP
HP ZBook 8 G1i 14"FHD+ Ultra 7 265H 2.1GHz 16GB 512GB Win 11Pro Warranty 2030
HP
2026 HP ZBook 8 G1i Mobile Workstation 14"FHD+ Ultra 7 265H 2.1GHz 16GB 512GB
Lenovo
Lenovo ThinkPad P14s Gen 6 14"FHD AMD Ryzen AI 5 PRO 340 16GB 512GB WRTY 2030
Lenovo
NEW Lenovo ThinkPad P14s Gen 6 AMD 14"WUXGA Ryz AI 5 PRO 340 16GB RAM 512GB SSD
ASUS
Asus ROG FLOW X16 GV601RM 16"QHD 165Hz TOUCH AMD Ryzen 9 3.3GHz 16GB 1TB RTX3060
HP
HP Elitebook 8 G1i 14" Ultra 7 265U 64GB RAM 512GB Ultrabook Laptop 2029 WRTY
How to run AI locally
Pick a device
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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.