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What is Tensormorph?

What is Tensormorph?

Tensormorph is an IDE for opening, navigating, inspecting, comparing, debugging, and versioning model checkpoints - from a few million parameters to trillion-parameter Mixture-of-Experts models - without needing to fully load a model into RAM or VRAM to work with it. If a debugger, a profiler, and an IDE had a shared tool for weight space instead of source code, this is roughly it.

Who it's for

Anyone whose job involves looking closely at what's actually inside a checkpoint: diffing two fine-tunes to see what changed, diagnosing why a quantization pass hurt quality, tracking down where a NaN first appeared during training, or safely editing weights without corrupting a multi-hundred-gigabyte file by hand.

How it's organized

Everything you inspect lives in one shared address space - model, architecture, layer, module, tensor, tile, row/column, down to a single scalar (see Model, Architecture, Layer and Module) - and every view is a different way of looking at the same address space, kept in sync:

  • 3D views for spatial structure: Architecture, Layer Stack, Tensor Volume, MoE Expert Galaxy, Parameter Map, Diff, Morph, Runtime Flow.
  • 2D views for precise per-element reading: the Matrix and Heatmap Editor.
  • 1D views for curves and distributions: the Signal and Distribution Editor.
  • The Scalar Inspector, for a single number in full detail.

Named workspace presets (Architecture, Compare, Morph, MoE, Runtime, Performance, and others) switch this whole layout at once for a given task, rather than requiring you to manually arrange panels each time.

What it isn't

Tensormorph doesn't bundle its own version control. Lob, a separate tensor-native VCS, is what actually stores weight history; Tensormorph anchors to it (see Merge Conflicts for what that means in practice) rather than reimplementing it. Tensormorph is also not primarily a training tool - it reads checkpoints and runtime traces, rather than running training loops itself.

Where to go next

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Continue to Install the Desktop Application to get set up, or jump straight to Open Your First Model if Tensormorph is already installed.

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