Finding Models to Run Locally on Hugging Face
Melvin Vivas · X post · 2026-08-29 · Open on X
Topics: LLM Fundamentals, AI Dev Tools & Productivity · Level: beginner
Summary
Melvin Vivas says his weekend hobby is browsing Hugging Face for models he can run locally. The takeaway: Hugging Face is the main hub for finding open-weight models for local inference.
Key points
- Hugging Face is the main hub for open-weight models you can download and run on your own machine.
- Exploring local models is a low-cost way to experiment without API fees.
Resources mentioned
- Hugging Face · website · x.com · free · recommended by both Bashiri Smith & Melvin Vivas
Platform for hosting and finding ML models, datasets and papers. The quoted post says LocateAnything was trending there.
Also in: Using an ML agent to train an open-source TTS model on your voice (Melvin Vivas on X · notes), Deploy Open-Source Models with Hugging Face Inference Endpoints (Melvin Vivas on X · notes), Deploying Qwen3.8 27B on Hugging Face Inference Endpoints (Melvin Vivas on X · notes), Using Hugging Face credits: Jobs, Inference Endpoints and Open Models (Melvin Vivas on X · notes) and 38 more
Try this
- Browse Hugging Face for open models you can run locally.
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