AINewsnow

NeuronDump: look inside any local LLM and make it smaller

This story is from 2026-10-25. It is preserved in the archive; the latest stories are on the live feed.

If you run models locally with Ollama or llama.cpp, you've probably downloaded a few gigabytes of GGUF and treated it as a black box. I wanted to open that box: see the layers, the attention heads, the vocabulary, the chat template, and then ask a simple question: which parts does this model not ac…

Read the full story at DEV Community — AI ↗

Timeline · 1 report

  1. 2026-10-25 19:45 · DEV Community — AI
    NeuronDump: look inside any local LLM and make it smaller

More stories

  1. Maya-XS runs DeepSeek-V4.1-Flash in 120.6 GB, with all 384 experts resident in GPU memory on a 128 GB Ryzen AI Max. — r/LocalLLaMA
  2. qwen4exp : build the QSA selection without the kq_mask by sanmai · Pull Request #30965 · ggml-org/llama.cpp — r/LocalLLaMA
  3. Strata Optimized for 64GB AGX Orin — r/LocalLLaMA
  4. Qwen 3.8 Flash Next (129 GB) is better than 2.6 bpw DeepSeek V4.1 Flash 1017 (187 GB + 203 GB Engram) — r/LocalLLaMA
  5. Qwen3.8-27B at 262k context on a 16 GB RX 9070 on Windows: ~80 t/s with achyudh's ROCm KV-streaming fork — r/LocalLLM
  6. Backup your quants! — r/LocalLLaMA
  7. I ran local AI inference (AMD GPU) for 30 days and measured every watt — here's the real cost vs cloud APIs — r/LocalLLM
  8. LLM on Android Phone updates — r/LocalLLM

Get the daily brief of stories like this at 6:30 every morning →