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NeuronDump

Look inside any local LLM (GGUF from Ollama, LM Studio, Hugging Face, Jan, llama.cpp): layers, heads, vocabulary, chat template, weights. Explore it as a 3D graph, follow a token through every layer, edit it live (ablate, steer, ban, patch), diff two models, then bake or slim a new GGUF that still runs. CLI, web UI, browser demo. Runs 100% offline

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GITHUB · launched Oct 25, 2026 · 11 upvotes (top 92%)

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Could you build this?

Partial The GGUF inspector, CLI, and web UI are vibe-codeable, but live interventions and writing a valid, runnable slimmed GGUF require real LLM internals expertise.

What it would actually take: A real version needs a GGUF parser plus a forward-pass instrumentation layer, for example hooks into a llama.cpp-style runtime or a PyTorch reimplementation, to ablate, steer, and patch activations. Writing a modified model that still runs means correctly rewriting tensors, metadata, and quantization blocks, and checking outputs for correctness. This needs solid mechanistic-interpretability and inference-engine knowledge to make the edits meaningful and verifiable.

Competitors

Other products that read as similar to this one : 79 launches clear the similarity bar, closest 8 shown.

Attention rank: #78 of 80 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 349 days after the earliest competitor.

Other launches for this product