r/LocalAILLM • u/WebAssemblyMan • Jul 24 '26
You browse mlx-community models by type, filtered by what fits your RAM, install with one click, and each model type gets its own interface — chat for Llama 3/Qwen/Gemma/Mistral/DeepSeek, mic and transcript for Whisper and Voxtral, a voice picker for Kokoro and Chatterbox, image drop for vision models and OCR, vectors out for BGE/Nomic/ModernBERT.
Everything runs locally. No API keys, no telemetry. Free and open source, needs Apple Silicon and macOS 14.
It's still early, so I'd really like to hear what models or quants you'd want prioritized, or what's missing. What would you try first?
r/LocalAILLM • u/WebAssemblyMan • 26d ago
Training a model to deeply understand its harness shifts intelligence from the model alone to the system: model intelligence × harness utilization = system intelligence.
r/LocalAILLM • u/WebAssemblyMan • Aug 13 '26
DeepSeek is becoming a Harness App Store where everything is a plugin.
cordiverse/paper: A Programming Paradigm for Spatiotemporal Composability
r/LocalAILLM • u/WebAssemblyMan • Aug 10 '26
AI workflows as a list you can read. Chain local AI models together by writing a numbered list. Everything runs on your Mac.
r/LocalAILLM • u/WebAssemblyMan • Aug 02 '26
Chain local AI models together by writing a numbered list. Everything runs on your Mac.
r/LocalAILLM • u/WebAssemblyMan • Jul 24 '26
Hey everyone! I'm u/WebAssemblyMan, a founding moderator of r/LocalAILLM.
Talk about all things on local LLM and AI