Getting started¶
1. Install¶
The quickest way is a ready-made build from the releases page (see download steps).
To build it yourself, follow the install guide for Windows or Linux. In short:
cargo build --release # CLI + web interface
cargo build --release --features trace # also lets you run models (needs more RAM)
The program is target/release/neurondump (neurondump.exe on Windows). The examples below
assume it is on your PATH, or that you created an alias:
2. Find your models¶
NeuronDump looks in these places automatically:
| Source | Where |
|---|---|
| Ollama | OLLAMA_MODELS, or ~/.ollama/models (%USERPROFILE%\.ollama\models on Windows) |
| llama.cpp | LLAMA_CACHE, or ~/.cache/llama.cpp |
| Hugging Face | HF_HUB_CACHE, HF_HOME/hub, or ~/.cache/huggingface/hub |
| LM Studio | ~/.lmstudio/models |
For other folders, add --scan <dir> or save them in the config:
3. Name a model¶
All of these work:
neurondump inspect llama3.2:1b # Ollama name (tag defaults to "latest")
neurondump inspect someuser/somemodel:q8 # namespaced Ollama model
neurondump inspect ./downloads/model.gguf # any GGUF file
neurondump inspect 17d2889ccc34 # the id shown by `list`
If you mistype a name, NeuronDump suggests the closest match.
4. First look inside¶
neurondump inspect llama3.2:1b # summary: architecture, layers, tokenizer, templates
neurondump layers llama3.2:1b # one line per layer
neurondump tensors llama3.2:1b --layer 0
neurondump vocab llama3.2:1b --class code --limit 20
neurondump template llama3.2:1b
neurondump stats llama3.2:1b # reads all weights, takes a few seconds
5. Choose an interface¶
neurondump # asks: CLI (interactive) or Web interface, and can remember your choice
neurondump cli # interactive prompt with tab completion
neurondump web --open # local web page
Where files go¶
| What | Where |
|---|---|
| Settings | ~/.config/neurondump/config.toml (%APPDATA%\neurondump\config.toml on Windows) |
| Cached results | ~/neurondump/cache/ |
| Slimmed models | ~/neurondump/slim/ |
Change the output folder with neurondump config set output_dir <dir>.
Next: How it works ยท CLI reference