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  2. Multi-Modal Foundation
  3. mattergen

Multi-Modal Foundation · microsoft

mattergen

This repository declares no standard task, so it runs as an encoder and returns a representation.

Verify the licence before commercial useThe mit licence carries terms worth reading before you depend on it.mit
Availability
On demand
Typical latency
12s
Cost per run
$0.02
Compute tier
S · Micro

< 1s

Not runnable here yet

We index this model but cannot run it: no pipeline_tag — needs a human.

Everything below is still accurate — the licence, the card and the provenance. Running it needs a loader for this repository, not a bigger machine.

About this model

microsoft/mattergen declares no standard task on the Hub, so it runs as an encoder and returns a representation. For anything more specific, run it in the sandbox where the model card can be followed exactly.

Standardized I/O contract

Every model in the Hub speaks the same contract, which is what lets the Router and the agent call any of them without special-casing.

Inputs

  • sequencetextarea · required

    Sequence or text

Outputs

  • vectorvector

    Mean-pooled representation, one vector per input.

Specification

Hardware
CPU only
GPU memory
16 GB
Version
hub
Licence
mit
Backend
On demandOn-demand GPU
MCP server
mcp-sandbox-server

Tasks

feature-extraction

Source

  • Model card
  • Repository
materials-sciencegenerative-aimaterials-discovery