dnhkng

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  1. Gday, author here! I've wanted to hack together a "real" quantum random number generator for another upcoming project, and I got carried away a bit, and went down the 'over-engineering' cliff. So, for your nerdy…

  2. I found that duplicating a specific block of 7 middle layers in Qwen2-72B, without modifying any weights, improved performance across all Open LLM Leaderboard benchmarks and took #1. As of 2026, the top 4 models on that…

  3. I built GLaDOS's brain, with a low-latency chat interface. Sub 600ms voice-to-voice response, running on Llama-3 70B.

  4. Show HN: Local GLaDOS (old.reddit.com)

    Code is available at: https://github.com/dnhkng/GlaDOS You can also run the Llama-3 8B GGUF, with the LLM, VAD, ASR and TTS models fitting on about 5 Gb of VRAM total, but it's not as good at following the conversation…