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OpenArch - PyTorch implementations of modern open-source LLM architectures

This story is from 2026-09-14. It is preserved in the archive; the latest stories are on the live feed.

I have been studying modern LLM architectures and started implementing them from scratch in PyTorch to better understand the design choices behind each model. OpenArch is a collection of these implementations, including Llama, Qwen, DeepSeek, Gemma, Kimi, GPT-OSS and others. The goal is to keep the…

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Timeline · 3 reports

  1. 2026-09-14 14:28 · r/learnmachinelearning
    OpenArch - PyTorch implementations of modern open-source LLM architectures
  2. 2026-09-14 14:28 · r/huggingface
    OpenArch - PyTorch implementations of modern open-source LLM architectures
  3. 2026-09-14 14:27 · r/deeplearning
    OpenArch - PyTorch implementations of modern open-source LLM architectures

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  1. M2 Mac ultra128gb Qwen flash next — r/LocalLLM
  2. Multi-hour llama.cpp optimization experiments on Qwen MoE models, patches, benchmarks, and reproduction guides — r/LocalLLM
  3. Intel releases OpenVINO 2026.4 — r/LocalLLaMA
  4. M1 Max 32GB, trying to run Qwen 3.8 27B at decent speeds and context — r/LocalLLaMA
  5. [Guide / Weights] Qwen 3.8 27B on Intel Arc: Why IQ quants crawl at 8 tok/s, why Q4_K outpaces sub-4bpw on Battlemage, and clean RCO GGUFs (16GB & 24GB) — r/LocalLLM
  6. My Version of Jev running locally, playing doom. — r/LocalLLM
  7. Two node BC250 cluster comparison of Qwen3.6 vs Qwen 3.8 — r/LocalLLM
  8. dual 7900 xtx - some guy made a pretty optimized fork of lamacpp optimized for this setup Qwen 3.8 Q8 at 82 tokens / seconds decode — r/LocalLLaMA

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