Muse Glimmer is designed to run locally—if your hardware can keep up.

8GB is still enough for certain use cases.

Meta’s Muse Glimmer brings a free, local AI model to consumer devices, reshaping cloud economics and pressuring rivals that ...

Unlocking more RAM for local models.

Meta has released a new slimmed down 'open source' AI model that's light enough to run on a single computer.

The need for at least 24GB of VRAM to run Muse Glimmer is just one factor that makes its value challenging to determine.

As AI models increasingly become commoditized, startups are racing to build the software layer that sits on top of them. One interesting entrant into this space is Osaurus, an open source, Apple-only ...

Local AI on Apple Silicon requires 7x less memory. The open-source Turbo Fieldfare project runs 26-billion-parameter models on just 2GB RAM.

Tom Fenton tackles seven free and open-source AI tools bring local chat, coding, voice, design and research capabilities to personal computers and self-hosted environments.

Run local AI on Apple Silicon with just 2GB of RAM using Turbo Fieldfare. The app streams a 26-billion-parameter model at 23 ...

When most of us think of AI chatbots, we think of complex systems running on powerful hardware in massive data centers. Ask ChatGPT or Gemini a question, then watch it "think" as it pings some faraway ...

Liquid AI, founded by former MIT computer scientists, today released its smallest AI language model yet, LFM2.5-230M, and enterprises would do well to consider it for their uses in data extraction and ...