Subreddit to discuss locally run large language models.
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I ran 26 local LLMs through an 8 level "agentic failure mode" gauntlet (tool calling, on an M1 Max). Capability benchmarks lie about who can actually run an agent loop.
All local, llama.cpp + Metal, GGUF. 8 tests, 3 reps each, same prompts and seeds for every model thinking OFF
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Jun 10, 2026 |
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my Home Lab: 7900x dual x16 build w rtx 3090 and radeon 7900xt, 128GB Strix Halo, and M4 Mac Mini. Help me create the ideal local setup
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May 28, 2026 |
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Why ChatGPT/Copilot can't solve the institutional memory problem for enterprise data, no matter how large context windows get
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Jun 15, 2026 |
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ARC Neuron LLMBuilder & The Future of 'REAL' AI
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May 31, 2026 |
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New AI Agent Architecture to fix LLM deviations and token costs
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May 31, 2026 |
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I built a local AI situation watcher - local
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May 27, 2026 |
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Free Android app for self-hosted LLMs (no ads, no account, no tracking)
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May 26, 2026 |
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We tested 6 AI assistants on the same solar data.
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May 25, 2026 |
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Pure Local Generation: Made a 2026 World Cup anthem/video using LTX 2.3 Q6 GGUF + ACE-Step 1.5 Q8 GGUF on just 8GB VRAM and 16GB RAM!
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Jun 15, 2026 |
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(untitled)
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Jun 1, 2026 |
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