Open-Source AI Model Download Guide 2026: Hugging Face and 5 Alternatives

Where and how to download open-source models in 2026, with mirrors and CLI tools.

## Open-Source AI Model Download Guide 2026 Downloading a model is the first step of every local AI project. Here is the 2026 practical guide. ### The primary source: Hugging Face - Model hub with 1M+ models, safetensors and GGUF formats - CLI: huggingface-cli download meta-llama/Llama-3.1-8B --local-dir ./model - Python: from huggingface_hub import snapshot_download - Check the model card for license before commercial use ### 5 alternatives and mirrors 1. **ModelScope** (Alibaba) - fast in Asia, Chinese-first, most Chinese models live here 2. **Ollama library** - one-command pulls: ollama pull qwen3:7b 3. **LM Studio model browser** - GUI download with search and filters 4. **Hugging Face mirror sites** (hf-mirror.com) - essential in mainland China 5. **GitHub releases** - some models ship as release assets (small models, adapters) ### Downloading a GGUF for local use [bash] # via huggingface-cli huggingface-cli download TheBloke/Qwen2.5-7B-Instruct-GGUF qwen2.5-7b-instruct-q4_k_m.gguf --local-dir ./models # via ollama (simpler) ollama pull qwen3:7b [/bash] ### Size guide - 1-3B Q4: 1-2 GB - phones, Raspberry Pi - 7B Q4: 4-5 GB - 8 GB VRAM cards - 13B Q4: 8 GB - 16 GB VRAM - 70B Q4: 40 GB - multi-GPU or big Macs ### FAQ **Is downloading models free?** Mostly yes; a few require accepting a license (Llama, Gemma, FLUX). **What if Hugging Face is blocked?** Use ModelScope, hf-mirror.com, or ollama pulls which route through their own CDN.